Tayo Adesanya launches Lola Vision Systems to simplify AI model deployment
Lola Vision Systems aims to automate the process of setting up AI models on new hardware with its software layer and custom-designed semiconductor chips.

Tayo Adesanya has spent over a decade working with microchips and AI processors, giving him valuable insight into emerging trends in the AI computing market. His early observations led him to start Lola Vision Systems, an AI infrastructure company that aims to simplify the process of running AI models on devices.
Lola Vision Systems was launched in 2024 by Adesanya, who serves as its founder. The company's core product is a software tool that translates AI models into instructions specific chips can execute. This software layer is crucial for automating the process of setting up an AI model on new hardware.
The current manual process of setting up an AI model on new hardware is time-consuming and labor-intensive, taking around 200 hours just to begin testing. Lola Vision Systems aims to automate this process with its rebuilt software layer and custom-designed semiconductor chips.
A client can provide the code and AI model they want to use, whether it's a custom-built or open-source model, and Lola Vision Systems' software will translate both into instructions that the client's chip can execute.
The main challenge for companies working with AI models is not just speed, but also accuracy and reliability. According to Adesanya, faster setup times can be a game-changer for these organizations, allowing them to run more accurate models on their own data while consuming less power.
For aerospace and other mission-critical industries, regulatory review and field performance are critical factors in determining the success of a product. As such, accuracy and reliability are not just desirable features but essential requirements that cannot be compromised.
Lola Vision Systems is part of a growing list of startups seeking to offer an alternative to NVIDIA's technology for running AI on devices. Currently, many companies rely on either NVIDIA's Jetson modules or open-source AI models to get started, but these often require significant time and effort to set up and debug.
Adesanya notes that even when these initial hurdles are overcome, power consumption can still be a major issue for edge computing budgets, while the processing capabilities of the board may not be sufficient to handle medium to large-sized models. This can lead to recognition models falling short of their targets or making errors in object identification.
Lola Vision Systems has been making progress in developing its AI-powered chip technology, despite the challenges of getting recognition models to work efficiently on silicon.
The company's efforts have not gone unnoticed, as a dozen corporate customers have expressed interest in purchasing its chips once they become available. In fact, Lola Vision already has one signed customer on board, demonstrating the potential for its innovative technology in the market.
To accelerate revenue generation and bring its product to market sooner, the company has decided to license its software on existing hardware. This strategic move will allow customers to access Lola Vision's AI capabilities without having to wait for the development of its own chips.
This decision was likely influenced by the fact that Lola Vision has only raised just over $1 million in total funding to date, indicating a need to adapt and find alternative revenue streams.
The company's participation in this year's TechCrunch Battlefield 200 program is also expected to bring new opportunities for growth.
The company's innovative approach has garnered significant attention in the tech industry, and its presence at TechCrunch Disrupt is expected to be a highlight of the event.
Lola Vision Systems' participation in this year's TechCrunch Battlefield 200 program will provide it with opportunities to showcase its technology and connect with potential partners and investors.
The company's AI model acceleration technology has been gaining traction, and its inclusion in the TechCrunch Disrupt lineup is a testament to its growing influence.
Next week, attendees of TechCrunch Disrupt can expect to see Lola Vision Systems' cutting-edge technology on display as part of the event's extensive showcase of innovative startups.
Lola Vision Systems is on track to showcase its AI technology at TechCrunch Disrupt next week, marking a significant milestone in the development of chip-based artificial intelligence models.
The company's innovative approach aims to make it easier for developers to run complex AI models directly on chips, eliminating the need for cloud computing infrastructure. This could potentially lead to faster processing times and reduced energy consumption. The event will provide a platform for Lola Vision Systems to demonstrate its technology and connect with industry experts.
Facts based on reporting originally published by TechCrunch.
You may republish this story, in full or in part, if you credit Noti Group and link to it (licence CC BY 4.0). Photos are not included.











