
Tensil is an open-source machine learning model compiler and hardware generator that allows users to create and deploy custom ML inference accelerators for edge FPGA platforms. By focusing on open-source development, Tensil aims to democratize access to ML accelerators, which have traditionally been available only to large companies. Their business model is inspired by successful open-source projects, combining community contributions with potential dual licensing and engineering services. Tensil's mission is to empower small and mid-sized companies, students, and hobbyists to innovate in AI applications that were previously unfeasible due to hardware limitations.

Tensil is an open-source machine learning model compiler and hardware generator that allows users to create and deploy custom ML inference accelerators for edge FPGA platforms. By focusing on open-source development, Tensil aims to democratize access to ML accelerators, which have traditionally been available only to large companies. Their business model is inspired by successful open-source projects, combining community contributions with potential dual licensing and engineering services. Tensil's mission is to empower small and mid-sized companies, students, and hobbyists to innovate in AI applications that were previously unfeasible due to hardware limitations.
Core product: Open-source ML model compiler and hardware generator for custom inference accelerators
Founded: 2018
Founders: Peter Hizalev; Tom Alcorn
Reported funding (summary): $150,000 total funding (last reported 2019-08-22); other sources report a 2020 seed round led by Freestyle VC
Machine learning inference acceleration for edge devices
2018
DeepTech
$150,000
Last funding date reported in provided company snapshot
$3.89M
Reported by TechCrunch for a product called Scenery
“UpHonest Capital; Y Combinator; Freestyle VC; participation reported from Precursor Ventures, Wireframe Ventures, Transmedia Capital, Rembrandt Venture Partners and several angels”