· Investment Strategies · 2 sources · Updated · Verified
Mantic Raises $25M Seed After Beating Humans at Metaculus Cup
Radical led Mantic’s $25M seed with Balderton, M12, and Thinking Machines Lab after the London forecasting startup beat every human in the Summer 2026 Metaculus Cup — who buys calibrated AI forecasts and why.
By Venture Capital Tracker Editorial
Mantic raised $25 million in seed funding announced September 18, 2026, led by Radical Ventures. Microsoft M12, Thinking Machines Lab, and Balderton Capital participated. Valuation undisclosed. Radical’s Aaron Rosenberg joined the board.
AI that is merely fluent is cheap; AI that is correct about what happens next is scarce — and Mantic just posted a public tournament score that beat every human.
Key facts
- Company
- Mantic — London; founded 2024
- Founders
- Toby Shevlane (ex-DeepMind), Ben Day
- Round
- $25M seed
- Lead
- Radical Ventures
- Participants
- M12, Thinking Machines Lab, Balderton, others
- Valuation
- Not disclosed
- Proof point
- Summer 2026 Metaculus Cup — ahead of all humans; one AI (laertes) finished higher
- Customers
- Interest from companies, governments, hedge funds (Rosenberg) — names not disclosed
- Model strategy
- Adapts third-party frontier models; does not train its own foundation model from scratch
Who uses the product — and for what job
Users (claimed interest): hedge funds and trading desks, corporate strategy teams, and government agencies that already buy human forecasting or research.
Job: assign calibrated probabilities to messy political, economic, business, and cultural questions weeks or months out — where crowd consensus fails and chatbots hallucinate with confidence. Tech Startups cites examples where Mantic broke from crowd error (Shakira chart race; Colombia election probabilities).
Rosenberg’s line is blunt: if the system is superhuman, buyers “can make money off of that immediately.” That is a decision-support sale, not a seat license for writing email.
Why now
- Metaculus Cup 2026 marked the first time AI systems dominated the field (Reuters) — a category-shift signal, not a marketing benchmark buried in a paper.
- Labs are shipping general agents; forecasting is a narrower, scoreable job where wrong answers have P&L consequences.
- Cap table mixes a Toronto AI specialist (Radical), a European multi-stage firm (Balderton), Microsoft’s M12, and Thinking Machines Lab — research credibility plus commercial distribution hypotheses.
Why Radical / Balderton — portfolio fit
Radical Ventures leads AI-native companies and put a partner on the board — classic seed leadership when the product is research-heavy. Balderton Capital is London’s European multi-stage franchise; a UK forecasting lab fits its “European founders, global ambition” pattern even at seed ticket size. M12 adds distribution into enterprise Microsoft ecosystems. Thinking Machines Lab adds frontier-lab adjacency without being the lead check.
**
| Investor | Fit |
|---|---|
| Radical | AI thesis lead; board seat |
| Balderton | European founder coverage; multi-stage follow-on path |
| M12 | Enterprise / Microsoft channel optionality |
| Thinking Machines Lab | Research signal |
Strategic rationale: take an AI-specialist lead that will help productize research, keep Balderton for European growth later, and use lab-adjacent angels for credibility with the same buyers who read Metaculus leaderboards.
Competitive map
- Human forecasting platforms (Metaculus, Good Judgment) — tournaments and crowds; Mantic competes as AI entrant and commercial product.
- Generic LLMs — text fluency ≠ calibrated probabilities scored against outcomes.
- Quant / alternative-data shops — structured markets; Mantic targets judgmental, event-driven questions.
What remains undisclosed
- Valuation and ownership.
- Paying customer names, ARR, and contract sizes.
- How performance transfers outside Metaculus question types and horizons.
- Dependency risk on third-party frontier model APIs.
Implication
If tournament edge becomes commercial edge, Mantic is a bet that the next AI budget line is being right, not being chatty. One Cup does not prove durable alpha — the open question is whether hedge-fund and policy buyers pay for continuously scored forecasts once the leaderboard news cycle fades.
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Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.
