Lola Vision Systems is trying to make it easier to run AI models on chips

Tayo Adesanya launched Lola Vision Systems in 2024 to make it easier to run artificial intelligence models on microchips. Based in Washington, D.C., the artificial intelligence infrastructure startup builds software and microchips for devices. Its main product is a compiler toolchain, which is software that translates artificial intelligence models into instructions that a specific chip can run.

Setting up models on new hardware manually can take about 200 hours before testing begins. Lola Vision aims to automate this process to help aerospace and mission-critical companies run accurate models locally using less power. Edge computing means running artificial intelligence directly on local devices like cameras or drones.

The company offers an alternative to NVIDIA technology for devices. Lola Vision has raised just over $1 million and licensed its software to generate revenue earlier while it builds its own chips. Twelve corporate customers have signed letters of interest, and one customer has signed a contract. The startup also partnered with a microelectronics workforce development program named SCALE and was selected for the TechCrunch Battlefield 200 group.