Tayo Adesanya, drawing on over a decade of experience with microchips and AI processors, founded Lola Vision Systems in 2024 with a focus on simplifying the deployment of AI models on hardware devices. Lola Vision develops software and semiconductor chips that translate AI models into executable instructions tailored for specific AI chips. This “compiler toolchain” software aims to cut down the extensive manual effort required—often around 200 hours—just to start testing AI models on new hardware, thereby accelerating and automating the setup process.

Lola Vision’s technology not only improves speed but also enhances model accuracy and reliability, which is critical for industries like aerospace where regulatory compliance and dependable performance are mandatory. According to Adesanya, many companies currently rely on Nvidia’s Jetson modules or open source AI models for edge computing, but these frequently require weeks of troubleshooting and often fail to meet power and performance needs. Lola Vision seeks to provide a more efficient and robust alternative to these existing solutions.

The company has already attracted interest from about a dozen corporate customers and secured one signed buyer for its chips, while also collaborating with SCALE to expand its semiconductor capabilities. In the short term, Lola Vision plans to generate revenue by licensing its software to operate on existing hardware before its own chips become widely available. To date, Lola Vision has raised slightly over $1 million in funding.

Lola Vision was chosen as one of the Startup Battlefield 200 companies showcasing at TechCrunch Disrupt in San Francisco from October 13-15, 2026. Adesanya sees the event as an opportunity to network, learn about industry trends, and attract additional investor funding to support growth. The company is positioned as an emerging player in the AI infrastructure space, aiming to make AI deployment on devices faster, more reliable, and more accessible to corporate customers.