The story begins almost 12 years ago, when Tayo Adesanya started a career working with microchips and AI processors. He mainly helped large manufacturers decide which chips to use in their hardware. Those years, he told TechCrunch, gave him early insight into where demand in the AI computing market was headed. “Starting Lola Vision Systems was a bet on where the world was headed and what I was seeing,” he said.

In 2024, he launched Lola Vision Systems, an AI infrastructure company that builds software and chips for running AI models on devices. Its core product is software that translates AI models into instructions a specific chip can run. Adesanya calls this software a “compiler toolchain,” and he says it is a massive bottleneck: manually setting up an AI model on new hardware can take “roughly 200 hours” just to begin testing. Lola Vision says it has rebuilt that software layer and is also developing its own semiconductor chips, with the goal of automating more of the process. A client provides its code and the AI model it wants to use, whether custom-built or open source, and the software translates both into instructions the client’s chip can execute.

“Speed is only part of it,” Adesanya said. He explained that faster setup gives aerospace and “other mission-critical companies” time to “run more accurate models on their own data, at a lower power.”

“For these customers,” he said, “accuracy and reliability aren’t nice to have.

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