Avassa offers an application management platform designed for resource-constrained edge and IIoT environments, enabling secure and remote deployment, monitoring, and troubleshooting of applications across numerous edge locations. This solution addresses the challenges of managing distributed applications where connectivity is unreliable, significantly reducing operational overhead and enhancing efficiency.

Provides a Model Optimization SDK that reduces deep learning model memory usage by up to 95% and energy consumption by up to 83%, enabling efficient AI deployment on resource-constrained embedded systems. This technology accelerates inference speeds by up to 18x, helping industries like automotive, aerospace, and IoT develop cost-effective, high-performance AI solutions.

This startup provides a platform that integrates Internet of Things (IoT) devices with healthcare communication systems to enhance patient monitoring and data exchange. By enabling real-time data transmission and analysis, it addresses inefficiencies in healthcare communication, improving patient outcomes and operational workflows.

The startup develops silicon carbide substrates that are free from Basal Plane Dislocation (BPD), carbon inclusions, and other defects, ensuring high-quality performance in power devices. These substrates enhance device reliability and efficiency, addressing the critical need for superior semiconductor materials in the industry.

Muybridge develops a high-definition imaging platform that utilizes real-time data architecture and virtual viewpoint imaging algorithms to capture unique camera angles and multiple video streams simultaneously. This technology enables industries to achieve seamless visual coverage and enhances viewer engagement by providing perspectives that were previously unattainable.

Scaleout offers a platform for secure data sharing and federated learning, enabling organizations to collaborate on machine learning projects while ensuring data privacy and compliance. This approach allows companies to enhance model training by leveraging combined datasets without compromising sensitive information.

TrusTrace is a traceability platform that centralizes supply chain data for fashion, footwear, and textile companies, enabling them to manage sourcing risks and ensure regulatory compliance through primary data collection from suppliers. The platform provides detailed visibility into the chain of custody and facilitates impact measurement, helping brands improve sustainability and uphold ethical standards in their supply chains.