Lola Vision Systems, a Washington, D.C.-based AI infrastructure startup, wants to reduce the time and effort required to run AI models on hardware. Founder Tayo Adesanya, who spent nearly 12 years advising manufacturers on chip choices, launched the company in 2024. Its core product is a compiler toolchain that translates AI models into instructions a specific chip can execute.
According to Adesanya, manually setting up an AI model on new hardware can take roughly 200 hours before testing begins. He says many companies start with Nvidia's Jetson or open-source models, but these often break or run poorly out of the box, leading to long debugging cycles and power or compute problems. Lola Vision is also developing its own chips and has partnered with SCALE, a microelectronics workforce program.
The company says it has one signed customer and a dozen corporate letters of interest for its chips. To bring in revenue sooner, it will license its software on existing hardware. Lola Vision has raised just over $1 million in total funding and was selected for TechCrunch's Startup Battlefield 200. Adesanya said he is looking forward to making connections and to investors writing checks at TechCrunch Disrupt.