NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

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NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

NVIDIA and Microsoft Give AI Startups a Double Dose of Acceleration

NVIDIA is expanding its collaboration with Microsoft to support global AI startups across industries — with an initial focus on healthcare and life sciences companies.

Announced today at the HLTH healthcare innovation conference, the initiative connects the startup ecosystem by bringing together the NVIDIA Inception global program for cutting-edge startups and Microsoft for Startups to broaden innovators’ access to accelerated computing by providing cloud credits, software for AI development and the support of technical and business experts.

The first phase will focus on high-potential digital health and life sciences companies that are part of both programs. Future phases will focus on startups in other industries.

Microsoft for Startups will provide each company with $150,000 of Microsoft Azure credits to access leading AI models, up to $200,000 worth of Microsoft business tools, and priority access to its Pegasus Program for go-to-market support.

NVIDIA Inception will provide 10,000 ai.nvidia.com inference credits to run GPU-optimized AI models through NVIDIA-managed serverless APIs; preferred pricing on NVIDIA AI Enterprise, which includes the full suite of NVIDIA Clara healthcare and life sciences computing platforms, software and services; early access to new NVIDIA healthcare offerings; and opportunities to connect with investors through the Inception VC Alliance and with industry partners through the Inception Alliance for Healthcare.

Both companies will provide the selected startups with dedicated technical support and hands-on workshops to develop digital health applications with the NVIDIA technology stack on Azure.

Supporting Startups at Every Stage

Hundreds of companies are already part of both NVIDIA Inception and Microsoft for Startups, using the combination of accelerated computing infrastructure and cutting-edge AI to advance their work.

Artisight, for example, is a smart hospital startup using AI to improve operational efficiency, documentation and care coordination in order to reduce the administrative burden on clinical staff and improve the patient experience. Its smart hospital network includes over 2,000 cameras and microphones at Northwestern Medicine, in Chicago, and over 200 other hospitals.

The company uses speech recognition models that can automate patient check-in with voice-enabled kiosks and computer vision models that can alert nurses when a patient is at risk of falling. Its products use software including NVIDIA Riva for conversational AI, NVIDIA DeepStream for vision AI and NVIDIA Triton Inference server to simplify AI inference in production.

“Access to the latest AI technologies is critical to developing smart hospital solutions that are reliable enough to be deployed in real-world clinical settings,” said Andrew Gostine, founder and CEO of Artisight. “The support of NVIDIA Inception and Microsoft for Startups has enabled our company to scale our products to help top U.S. hospitals care for thousands of patients.”

Another company, Pangaea Data, is helping healthcare organizations and pharmaceutical companies identify patients who remain undertreated or untreated despite available intelligence in their existing medical records. The company’s PALLUX platform supports clinicians at the point of care by finding more patients for screening and treatment. Deployed with NVIDIA GPUs on Azure’s HIPAA-compliant, secure cloud environment, PALLUX uses the NVIDIA FLARE federated learning framework to preserve patient privacy while driving improvement in health outcomes.

PALLUX helped one healthcare provider find 6x more cancer patients with cachexia — a condition characterized by loss of weight and muscle mass — for treatment and clinical trials. Pangaea Data’s platform achieved 90% accuracy and was deployed on the provider’s existing infrastructure within 12 weeks.

“By building our platform on a trusted cloud environment, we’re offering healthcare providers and pharmaceutical companies a solution to uncover insights from existing health records and realize the true promise of precision medicine and preventative healthcare,” said Pangaea Data CEO Vibhor Gupta. “Microsoft and NVIDIA have supported our work with powerful virtual machines and AI software, enabling us to focus on advancing our platform, rather than infrastructure management.”

Other startups participating in both programs and using NVIDIA GPUs on Azure include: 

  • Artificial, a lab orchestration startup that enables researchers to digitize end-to-end scientific workflows with AI tools that optimize scheduling, automate data entry tasks and guide scientists in real time using virtual assistants. The company is exploring the use of NVIDIA BioNeMo, an AI platform for drug discovery.
  • BeeKeeperAI, which enables secure computing on sensitive data, including regulated data that can’t be anonymized or de-identified. Its EscrowAI platform integrates trusted execution environments with confidential computing and other privacy-enhancing technologies — including NVIDIA H100 Tensor Core GPUs — to meet data protection requirements and protect data sovereignty, individual privacy and intellectual property.
  • Niramai, a startup that has developed an AI-powered medical device for early breast cancer detection. Its Thermalytix solution is a low-cost, portable screening tool that has been used to help screen over 250,000 women in 18 countries.

Building on a Trove of Healthcare Resources

Microsoft earlier this year announced a collaboration with NVIDIA to boost healthcare and life sciences organizations with generative AI, accelerated computing and the cloud.

Aimed at supporting projects in clinical research, drug discovery, medical imaging and precision medicine, this collaboration brought together Microsoft Azure with NVIDIA DGX Cloud, an end-to-end, scalable AI platform for developers.

It also provides users of NVIDIA DGX Cloud on Azure access to NVIDIA Clara, including domain-specific resources such as NVIDIA BioNeMo, a generative AI platform for drug discovery; NVIDIA MONAI, a suite of enterprise-grade AI for medical imaging; and NVIDIA Parabricks, a software suite designed to accelerate processing of sequencing data for genomics applications.

Join the Microsoft for Startups Founders Hub and the NVIDIA Inception program. 

Read More

Waterways Wonder: Clearbot Autonomously Cleans Waters With Energy-Efficient AI

Waterways Wonder: Clearbot Autonomously Cleans Waters With Energy-Efficient AI

What started as two classmates seeking a free graduation trip to Bali subsidized by a university project ended up as an AI-driven sea-cleaning boat prototype built of empty water bottles, hobbyist helicopter blades and a GoPro camera.

University of Hong Kong grads Sidhant Gupta and Utkarsh Goel have since then made a splash with their Clearbot autonomous trash collection boats enabled by NVIDIA Jetson.

“We came up with the idea to clean the water there because there are a lot of dirty beaches, and the local community depends on them to be clean for their tourism business,” said Gupta, who points out the same is true for touristy regions of Hong Kong and India, where they do business now.

Before launching Clearbot, in 2021, the university friends put up their proof-of-concept waste collection boat on a website and then just forgot about it, he said, starting work after graduation. A year later, a marine construction company proposed a water cleanup project, and the pair developed their prototype around the effort to remove three tons of trash daily from a Hong Kong marine construction site.

“They were using a big boat and a crew of three to four people every day, at a cost of about $1,000 per day — that’s when we realized we can build this and do it better and at lower cost,” said Gupta.

Plastic makes up about 85% of ocean litter, with an estimated 11 million metric tons entering oceans every year, according to the United Nations Environment Programme. Clearbot aims to remove waste from waterways before it gets into oceans.

Cleaning Waters With Energy-Efficient Jetson Xavier

Clearbot, based in Hong Kong and India, has 24 employees developing and deploying its water-cleaning electric-powered boats that can self-dock at solar charging stations.

We believe that humanity’s relationship with the ocean is sort of broken — the question is can we make that better and is there a better future outcome? We can do it 100% emissions-free, so you’re not creating pollution while you’re cleaning pollution. Sidhant Gupta, co-founder of Clearbot

The ocean vessels, ranging in length from 10 to 16 feet, have two cameras — one for navigation and another for waste identification of what boats have scooped up. The founders trained garbage models on cloud and desktop NVIDIA GPUs from images they took in their early days, and now they have large libraries of images from collecting on cleanup sites. They’ve also trained models that enable the Clearbot to autonomously navigate away from obstacles. 

The energy-efficient Jetson Xavier NX allows the water-cleaning boats — propelled by battery-driven motors — to collect for eight hours at a time before returning to recharge.   

Harbors and other waterways frequented by tourists and businesses often rely on diesel-powered boats with workers using nets to remove garbage, said Gupta. Traditionally, a crew of 50 people in such scenarios can run about 15 or 20 boats, estimates Gupta. With Clearbot, a crew of 50 people can run about 150 boats, boosting intake, he said.  

“We believe that humanity’s relationship with the ocean is sort of broken — the question is can we make that better and is there a better future outcome?” said Gupta. “We can do it 100% emissions-free, so you’re not creating pollution while you’re cleaning pollution.” 

Customers Harnessing Clearbot for Environmental Benefits

Kingspan, a maker of building materials, is working with Clearbot to clean up trash and oil in rivers and lakes in Nongstoin, India. So far, the work has resulted in the removal of 1.2 tons of waste per month in the area. 

Umiam Lake in Meghalaya, India, has long been a tourist destination and place for fishing. However, it’s become so polluted, that areas of the water’s surface aren’t visible with all of the floating trash. 

The region’s leadership is working with Clearbot in a project with the University of California Berkeley Haas School of Business to help remove the trash from the lake. Since the program began three months ago, Clearbot has collected 15 tons of waste.

Mitigating Environmental Impacts With Clearbot Data 

Clearbot has expanded its services beyond trash collection to address environmental issues more broadly. The company is now assisting in marine pollution control for sewage, oil, gas and other chemical spills as well as undersea inspections for dredging projects, examining algae growth and many other areas where its autonomous boats can capture data.

Unforeseen to Clearbot’s founders, they have discovered that the data about garbage collection and other environmental pollutants can be used in mitigation strategies. The images that they collect are geotagged, so if somebody is trying to find the source of a problem, backtracking from Clearbot’s software dashboard on some of the data on findings is a good place to start.

For example, if there’s a concentration of plastic bottle waste in a particular area, and it’s of a particular type, local agencies could track back to where it’s coming from. This could allow local governments to mitigate the waste by reaching out to the polluter to put a stop to the activity that is causing it, said Gupta.

“Let’s say I’m a municipality and I want to ban plastic bags in my area — you need the NGOs, the governments and the change makers to acquire the data to back their justifications for why they want to close down the plastic plant up the stream,” said Gupta. “That data is being generated on board your NVIDIA Jetson Xavier.”

Learn about NVIDIA Jetson Xavier and Earth-2

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