Lemurian Labs
AI development is stuck in the past—bloated costs, rigid hardware dependencies, and systems so complex they require a support group to navigate. We think that’s ridiculous. Lemurian Labs is here to change that. Our AI compute platform works across any hardware—no vendor lock-in, no overhyped “breakthroughs” that require a million-dollar budget, just raw performance, and total flexibility. Build, train, and deploy AI wherever you want, without the usual hoops to jump through. We’re engineers, mathematicians, and builders who are done watching AI get buried under unnecessary complexity. Speed and efficiency shouldn’t come at the cost of accessibility. AI should work for you, not force you to play by someone else’s rules. 🔗 www.lemurianlabs.com
Lemurian Labs
AI development is stuck in the past—bloated costs, rigid hardware dependencies, and systems so complex they require a support group to navigate. We think that’s ridiculous. Lemurian Labs is here to change that. Our AI compute platform works across any hardware—no vendor lock-in, no overhyped “breakthroughs” that require a million-dollar budget, just raw performance, and total flexibility. Build, train, and deploy AI wherever you want, without the usual hoops to jump through. We’re engineers, mathematicians, and builders who are done watching AI get buried under unnecessary complexity. Speed and efficiency shouldn’t come at the cost of accessibility. AI should work for you, not force you to play by someone else’s rules. 🔗 www.lemurianlabs.com
TL;DR
What they do: Software-first, hardware-agnostic AI compute platform for training and inference across edge, cloud, and on-prem
Headquarters: Santa Clara, California, United States
Founders / leadership: Co-founders: Jay Dawani (CEO) and Dr. Vassil Dimitrov (Chief Scientist)
Funding: Raised $9M seed (Oct 2023) and an oversubscribed $28M Series A (Dec 2025, includes prior convertible securities)
Team size: Approximately 36 employees
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Company Overview
Problem Domain
AI infrastructure and compute — lowering cost and complexity of training and deploying models across heterogeneous hardware
Industry
Technology, Information and Internet
Tech Stack
Funding Track Record
$9M
Announced at company launch; included participation from additional investors named by the company.
$28M
Described as an oversubscribed Series A that includes capital previously raised via convertible securities.
Investor Signal
“Seed led by Oval Park Capital; Series A co-led by Pebblebed Ventures and Hexagon with participation from Oval Park Capital, Origin Ventures, Blackhorn Ventures, Uncorrelated Ventures, Untapped Ventures, Planetary Ventures, 1Flourish Ventures, Animal Capital, Stepchange VC, and Silicon Catalyst Ventures.”