Latent AI, creators of the Latent AI Efficient Inference Platform (LEIP) and the latest spinout from SRI International, has been recognized as the 2020 “Startup of the Year” from IoT World during their virtual awards ceremony on August 12, 2020.
The IoT World 2020 virtual awards program highlighted exemplary IoT projects, products, and people in 13 categories, with 81 finalists from over 600 total nominations.
The categories in the 2nd annual competition spanned the IoT ecosystem from Industrial IoT to Edge Computing to Consumer IoT, including deployment in such verticals as manufacturing, energy, healthcare, and the public sector. A mix of editors, analysts, researchers, consultants, and industry experts participated in the judging process.
The IoT World 2020 Startup of the Year finalist list included several other impressive young companies developing cutting-edge IoT solutions such as Zededa, Cohesion, Pointr, Luminance, NanoLock Security, and Senra.
Latent AI, launched in 2018 by co-founders Jags Kandasamy and Sek Chai, is backed by DARPA technology and is the latest SRI International spinout. Latent AI’s technology, a suite of software tools designed with AI developer and engineering teams in mind, simplifies and accelerates the AI workflow from training to deployment. Latent AI transforms the way developers train AI for inference through adaptive AI technology. This enables rapid AI application development on lean edge devices at scale, works anywhere, and seamlessly adapts, regardless of framework, OS, architecture, or edge hardware.
Latent AI’s LEIP SDK allows compression of neural nets running on any edge AI hardware target in the edge continuum, enabling the Internet of Things. LEIP compresses conventional AI models by 10x without a noticeable accuracy change and allows deployment on inexpensive microcontrollers, DSPs, and other processor cores typically found in edge devices. With many thousands of compelling edge AI applications yet to be developed, Latent AI will solve AI workloads efficiently, even at the edge of the networks.
LEIP provides intelligence to migrate to the edge for local processing for any number of use cases such as face detection algorithms running locally within security cameras or appliances, or Siri-like voice interfaces working instantly even when network connectivity is missing.
