Liquid AI
Worth-Joining Index · Scorecard
v2.1 ALPHA · 2026-08Career Score
—/100
Coverage
51%
Verified
17%
Stage cohort
Early
Vibe Check
🎪 community voting coming soon
Latest valuation
$2.35B (Series A, 2024-12)
Total raised
$250M (Series A, 2024-12)
Traction · Key numbers
Funding
Total raised
$250M (Series A, 2024-12)
Rounds
2
Valuation pace
Seed
$250M
Series A · 2024-12 · valuation $2.35B post (Series A, 2024-12) · led by AMD Ventures
With: Automattic, OSS Capital · A steep valuation jump from seed, with clear strategic intent behind AMD's stake
$37.6M
Seed · 2023-12 · led by OSS Capital, PagsGroup
With: Automattic, Samsung Next, Bold Capital Partners · Joined by notable angels including Naval Ravikant and Tobias Lütke
▸AMD Ventures led the Series A and by Aug 2025 shipped concrete LEAP support for Ryzen/Ryzen AI — signaling a strategic distribution bet on edge inference, not just a financial check
▸Valuation went from seed to $2.35B in about 13 months — priced on the architecture narrative, not current revenue; the gap between $13.2M ARR and $2.35B valuation is the question the next round has to answer
▸22 investors and $297M raised across just two rounds suggests capital concentrated in two large priced rounds so far, without yet the multiple top-up rounds typical of scaling growth-stage companies
Founders
Ramin Hasani CEO
Former MIT CSAIL researcher, co-inventor of the liquid neural network architecture
Mathias Lechner CTO
MIT CSAIL background, focused on neural architecture and training systems
Alexander Amini CSO
MIT PhD with a background in deep learning and robotic perception research
Daniela Rus Co-founder
Director of MIT CSAIL, a well-known scholar in robotics and AI
Reality · Working here
Signals & Risks
Editorial ✎
Good fit for
· Systems/inference-optimization engineers — real on-device deployment work under actual chip and memory constraints, not toy demos
· Researchers drawn to non-consensus architecture bets — the company is wagering Transformers aren't the end state, appealing if you're willing to grind on LNNs while the field ignores them
· People who value hardware partnerships — the AMD tie gives real chip-side resources and distribution, unlike a pure-software story
Not for
· Anyone wanting short-term certainty on equity value — the gap between $13.2M ARR and a $2.35B valuation means upside depends heavily on the architecture thesis playing out, not current performance
· Engineers who need a mature ecosystem and rich open-source tooling — the LNN ecosystem lags far behind Transformers, so a lot of infrastructure has to be built in-house
Ask in the interview
1. Given $13.2M ARR against a $2.35B valuation, what's the actual revenue ramp plan for the next 12-18 months, and how big is that gap in leadership's own view?
2. With AMD leading the Series A, how much room is left to court other hardware partners (Qualcomm, Arm ecosystem) without exclusivity friction?
3. Beyond the 'more efficient than Transformers' pitch, has any customer run a head-to-head production benchmark on accuracy/latency, and does it hold up to third-party reproduction?
Data changelog
Community corrections → editorial review → applied, fully on the record
data as of 2024-12 · Source: AI Business Weekly ↗
data as of 2024-12 · Source: Safar Partners / press coverage ↗
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