Lola Vision Systems Raises $1M to Automate AI Model Deployment on Chips
Lola Vision’s compiler toolchain targets the roughly 200 hours engineers may spend manually configuring AI models for new hardware, translating customer code for specific chips. Founded in 2024 by Tayo Adesanya, the Washington, D.C., startup is focusing on aerospace and other mission-critical industries.
Lola Vision Systems, an AI infrastructure startup based in Washington, D.C., is building software and chips designed to make it faster and easier to run AI models on devices. The company was announced in 2026 as part of TechCrunch’s Battlefield 200 program, which selects 200 startups to participate in the annual TechCrunch Disrupt event.
Founded in 2024 by Tayo Adesanya, Lola Vision’s core product is a “compiler toolchain” — software that translates AI models into instructions a specific chip can execute. Adesanya says the current process of manually configuring an AI model for new hardware can take roughly 200 hours just to begin testing. Lola Vision’s software aims to automate that process. Clients provide their code and AI model — whether custom-built or open source — and the software handles the translation for their target chip.
Adesanya spent nearly 12 years working with microchips and AI processors before founding the company, primarily helping large manufacturers select chips for their hardware. He said that experience shaped his view of where demand in AI computing was headed. The company’s early focus is on aerospace and other mission-critical industries, where Adesanya says accuracy, reliability, and power efficiency are requirements for regulatory approval and real-world performance.
Lola Vision is also developing its own semiconductor chips, but to generate revenue sooner, it plans to license its software on existing hardware. Twelve corporate customers have signed letters of interest in purchasing Lola Vision’s chips once available, and the company has one signed customer. It has also partnered with SCALE, a microelectronics workforce development program, to access additional semiconductor labs.
The company has raised just over $1 million in total funding to date. Adesanya said he applied to TechCrunch Battlefield to reach a broader audience after about a year of product development. TechCrunch Disrupt takes place October 13–15 in San Francisco.