Reflection AI
Worth-Joining Index · Scorecard
v2.1 ALPHA · 2026-08Career Score
—/100
Coverage
51%
Verified
0%
Stage cohort
Early
Vibe Check
🎪 community voting coming soon
Latest valuation
$8B (Series, 2025-10)
Total raised
~$2.13B total raised (2025-10)
Team size
~60 people
Traction · Key numbers
Funding
Total raised
~$2.13B total raised (2025-10)
Rounds
2
Valuation pace
$545M
$2B
Series B · 2025-10 · valuation $8B post (Series, 2025-10) · led by Nvidia, Sequoia Capital (with Eric Schmidt, Citi, 1789 Capital, Lightspeed Venture Partners, DST, GIC, CRV, B Capital participating)
With: Sequoia Capital, Citi, GIC, 1789 Capital, B Capital, DST, CRV, Disruptive · 15x valuation increase from Series A; individual investors Eric Schmidt and Eric Yuan also participated
$130M
Seed + Series A · 2025-03 · valuation $545M
Combined $25M seed and $105M Series A as the company emerged from stealth
▸Fundraising pace far outruns product pace: three rounds (seed/A, B, C) pushed valuation from $545M to $27.5B in about a year, while the flagship model doesn't ship until early 2026 — the market is pricing the team's pedigree and narrative, not proven revenue
▸Nvidia-led with strategic co-investors (Eric Schmidt, Citi, 1789 Capital) suggests this is compute/ecosystem positioning as much as financial betting — heavy infra dependency ahead
▸Sequoia's repeat participation across rounds signals strong conviction in the founding team (DeepMind's Gemini reward-modeling lead, AlphaGo co-creator) — a classic 'bet on the people' pattern
Founders
Misha Laskin CEO
Led reward modeling for DeepMind's Gemini project
Ioannis Antonoglou 联合创始人
Co-created AlphaGo, which defeated the world Go champion in 2016
Reality · Working here
Signals & Risks
Editorial ✎
Good fit for
· Top RL/pretraining researchers — the team (DeepMind's Gemini reward-modeling lead, AlphaGo co-creator) is rare in spanning both frontier models and agent products
· Believers in the 'open frontier model' thesis — if you think the ecosystem needs an open frontier lab beyond Meta, this is currently the best-capitalized bet
· People comfortable with high uncertainty and pure optionality — valuation has outrun product shipping by a wide margin, so joining early is a venture bet, not a stable offer
Not for
· Anyone who needs to see a mature product and customer case studies before deciding — Asimov and the flagship model have no large-scale commercial validation yet
· Anyone sensitive to compute/infrastructure supply-chain risk — Nvidia is both investor and key supplier, creating complex incentive entanglement
Ask in the interview
1. How real is flagship-model slip risk? Has the early-2026 release timeline already been pushed internally?
2. At a $27.5B valuation, what's the actual ARR/paying-customer count, and does it match the pace of valuation growth?
3. How does the open-source strategy compete against low-cost players like DeepSeek and closed frontier labs like Anthropic/OpenAI — what specifically is the moat?
Data changelog
Community corrections → editorial review → applied, fully on the record
data as of 2025-10 · Source: TechCrunch ↗
data as of 2025-10 · Source: TechCrunch (derived: $130M Mar 2025 seed round + $2B Oct 2025 round) ↗
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