The defense-focused chip startup is betting a modular, low-power edge processor can do what bulky GPUs struggle to do in the field
Running artificial intelligence in a data center is a solved problem, more or less. Running it inside a drone, a vehicle, or a soldier’s kit, with no reliable link to the cloud, is a much harder one.
Lola Vision Systems, a young fabless chip startup, wants to make that second problem easier. Its pitch is a purpose-built edge AI processor called the LVS-250, aimed at defense, aerospace, and automotive customers who need serious computing power without the power bill.
The company has earned a spot in TechCrunch’s Startup Battlefield 200 cohort ahead of Disrupt 2026.
What the LVS-250 is supposed to do #
A chiplet design is more like Lego. Separate pieces, each handling a specific job, get snapped together into one package. Lola’s LVS-250 uses five of these chiplets.
The modular approach is meant to shorten development cycles. Swap or upgrade one block, and you don’t have to redesign the entire processor.
The chiplets talk to each other over UCIe 2.0, an interconnect standard designed for exactly this kind of mix-and-match packaging. The processor also folds in integrated RF capabilities, meaning radio-frequency functions live on the same package rather than on a separate board.
The LVS-250 includes post-quantum cryptography at the hardware level. Translated: the encryption is designed to hold up even against future quantum computers, which are expected to eventually crack many of today’s standard protection schemes.
The numbers, and the Nvidia comparison #
The headline performance figure is 230 TOPS at INT8 precision. TOPS stands for trillions of operations per second, a rough gauge of how much AI math a chip can churn through. INT8 refers to a lower-precision number format commonly used to run trained models efficiently.
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The more interesting number is power. Lola says the LVS-250 hits that performance while drawing under 25W.
The obvious benchmark is Nvidia’s Orin, a widely used platform for edge AI in robotics and vehicles. Orin offers roughly 230 TOPS at INT8, according to the research findings, but consumes over 60W to get there.
The LVS-250 is planned for release in 2027. Manufacturing is set to happen in the US on GlobalFoundries’ 12LP+ process node. Lola emphasizes ITAR-compliant supply chains, a requirement for many defense programs that restrict where sensitive technology can be produced and who can touch it.
A small team with big ambitions #
Lola Vision Systems was founded in 2023, though some records point to 2024. The company is based in the Washington, DC and Los Angeles area.
CEO Tayo Adesanya leads the company alongside co-founders Randy Hollines and Jordan Page. The team numbers somewhere between eight and nine employees.
Funding is modest by semiconductor standards. The startup has raised an estimated $720K to $1.09M through early-stage venture capital, grants, and accelerators.
It also took home a $125K grand prize at Investfest in August 2025.
What this means for defense tech and edge AI #
If the LVS-250 performs as advertised, the most likely early customers are government buyers and defense contractors. Power efficiency, US manufacturing, and hardware-level security are exactly the boxes those buyers tend to check first. Chip startups face long timelines, expensive tape-outs, and the constant chance that an incumbent ships something good enough before the newcomer ships anything at all. Nvidia is not standing still, and 2027 is a long way off in semiconductor years.
Bringing a five-chiplet processor to production on a sub-$1.1M budget would be unusual. Investors should watch for a larger financing round, a defense program award, or a manufacturing milestone with GlobalFoundries as signs the plan is moving from slides to silicon.
Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our