Where is Lola Vision Systems headquartered?

Lola Vision Systems is headquartered in Washington, D.C., United States. The company has a team of 2-10 people.

What does Lola Vision Systems do?

Lola Vision Systems operates in the AI Chips / Semiconductors sector. Fabless edge AI company building a compiler toolchain/SDK and chiplet-based AI silicon (LVS-250) for running AI models on devices in defense and mission-critical systems. Automates deploying AI models onto specific edge hardware. Its compiler toolchain translates custom or open-source models plus client code into chip-executable instructions. This cuts roughly 200 hours of manual bring-up and enables accurate, low-power inference at the edge.

When was Lola Vision Systems founded?

Lola Vision Systems was founded in 2024. It is based in Washington, D.C., United States.

Who is the CEO of Lola Vision Systems?

Tayo Adesanya is the CEO of Lola Vision Systems. The company was founded in 2024.

Where is Lola Vision Systems located?

Lola Vision Systems is headquartered in Washington, D.C., United States.

What funding stage is Lola Vision Systems at?

Lola Vision Systems is currently at the Seed stage.

How many employees does Lola Vision Systems have?

Lola Vision Systems has approximately 2-10 employees.

Lola Vision Systems

Category: AI Chips / Semiconductors

Fabless edge AI company building a compiler toolchain/SDK and chiplet-based AI silicon (LVS-250) for running AI models on devices in defense and mission-critical systems. Lola Vision Systems was founded in 2024. The company is led by Tayo Adesanya. Based in Washington, D.C., United States. Team size: 2-10. Total funding raised: $1.0M. Latest round: Seed. Key investors include Grant Park Ventures, Open Opportunity Fund, IAI North America, K Street Capital, Techstars, Invest Fest, Plug and Play, Capital Factory, Los Angeles Cleantech Incubator.

Founded: 2024
Headquarters: Washington, D.C., United States
Team size: 2-10
Total funding: $1.0M

Value proposition

Automates deploying AI models onto specific edge hardware. Its compiler toolchain translates custom or open-source models plus client code into chip-executable instructions. This cuts roughly 200 hours of manual bring-up and enables accurate, low-power inference at the edge.

Products and solutions

LVS Edge SDK: model optimization and edge deployment, a retargetable runtime across COTS hardware (NVIDIA, Qualcomm), multi-modal sensor fusion (vision/RF/LIDAR), post-quantum encrypted mesh networking, and vision AI / cognitive EW agents. LVS-250 silicon: 5-UCIe-chiplet SoC with ~230 TOPS at under 25W (~30 TOPS/W), integrated MRAM, hardware root of trust and ITAR-compliant US manufacturing on GF 12LP+. Dev kits are shipping to partners, with volume production targeted for 2027.

Unique value

A defense-first, full-stack edge AI platform that works on existing COTS hardware today and offers a seamless upgrade path to purpose-built, secure, US-made chiplet silicon.

Target customer

Defense, aerospace, automotive and other mission-critical OEMs and integrators deploying AI on drones, cameras and autonomous platforms.

Industries served

Defense (ISR, C-UAS, autonomous systems, maritime), Aerospace, Automotive

Technology advantage

Rebuilt compiler toolchain that automates model-to-chip translation. Chiplet architecture with mixed process nodes and modular upgrades. Post-quantum (CRYSTALS-Kyber) hardware security, integrated RF/SDR, and ITAR/CMMC 2.0 readiness. Software licensing on existing hardware brings revenue before silicon ships.

How they differentiate

Purpose-built for defense rather than retrofitted from commercial products: ITAR-compliant, US-manufactured, with post-quantum security and integrated EW/RF. The SDK targets the bring-up and debugging pain of Jetson and open-source models on edge boards, and its efficiency target is ~30 TOPS/W.

Main competitors

NVIDIA (Jetson), Hailo, SiMa.ai

Key partnerships

SCALE microelectronics workforce development program (access to semiconductor labs), Techstars Los Angeles (Spring 2024), LA Cleantech Incubator (LACI) 9th cohort, Plug and Play Aerospace & Defense Batch 2, Capital Factory All-Access, IAI Catalyst Accelerator Cohort 2

Notable customers

Air Force AMC (company-reported first contract win)

Major milestones

Feb 2024: founded (Delaware C-Corp, Los Angeles). Jun 2024: completed Techstars LA. 2024: $500K pre-seed. May 2025: IAI Catalyst Demo Day. Aug 2025: won the Investfest $125K grand prize. Mar 2026: HQ moved to Washington, D.C. Oct 2026: TechCrunch Startup Battlefield 200 and a pivot to licensing software on existing hardware. LVS-250 volume production targeted for 2027.

Growth metrics

One signed customer; about a dozen corporate letters of intent to buy chips once available; just over $1M raised in total as of Oct 2026.

Market positioning

Early-stage US defense-tech edge AI compiler and silicon startup. Positioned as an alternative to NVIDIA Jetson for mission-critical on-device AI. Selected for TechCrunch Startup Battlefield 200 (2026).

Geographic focus

United States (US defense and allied markets)

About Tayo Adesanya

About 12-14 years in the semiconductor industry working with microchips and AI processors, advising large manufacturers on chip selection for their hardware; Purdue University, BS Electrical & Computer Engineering; Arizona State University W. P. Carey School of Business. Won the 2025 Investfest grand prize.

Latest news about Lola Vision Systems

Lola Vision Systems targets edge AI setup with software licensing on existing chips

More AI Chips / Semiconductors companies

Official website: https://lolavisionsystems.com