The world's most
accurate AI predictions
Mantic is a world-class technical team on a mission to solve the next AI grand challenge: predicting global events with superhuman accuracy, and deploying this capability to power radically improved decision-making in business and government.
Example predictions
From ongoing tournaments against human superforecasters
what mantic does
A new kind of foresight
Despite decades of progress in computer modelling, the best predictions in the messy world of human affairs still come from top human forecasters, who use reasoning and judgement.
Mantic is building machines that can predict like an expert superforecaster but with digital speed and scale.
Mantic has an edge on topics where a purely data-driven approach is infeasible or insufficient.
We’ve developed our system to make medium term predictions (1 week - 1 year out) about geopolitics, business, policy, technology, and culture.

We are setting new records for our tournament performance against human forecasters:
Metaculus Cup (Fall '25)
- Ranked 4th / 539 entrants (top 1%), beating six pro forecasters
- Highest ever AI score, and over double the next best AI entrant
- Broke our own record set in the Summer Cup where we ranked 8th as the highest ever AI score

- Geopolitics
- Elections
- Technology
- Energy
Market Pulse Challenge (Q4)
- Ranked 17th / 147 entrants, beating two pro forecasters
- Highest ever AI score, and over double the next best AI entrant
- Broke our own record set in Q3 where we ranked 19th with the highest ever AI score

- Company earnings & revenues
- Equity returns
- Bond yields
AI enables us to scale across forecasting breadth, depth, and speed. Below is an example of a question we answered in the Metaculus Cup, where Mantic generated a fresh prediction every day, incorporating key developments in real time.
How much photovoltaic capacity will China install in July 2025?
Product
Providing foresight to decision-makers
Emerging use cases for predictive intelligence
Mantic is built for teams operating under uncertainty, helping them cut through the noise, anticipate what’s ahead, and act with confidence.
A forecasting tool for navigating uncertainty
A generalist forecasting engine that reasons like a top human forecaster across domains, delivering clear, actionable insights.

About us
Mantic is a startup founded in London in 2024, on a mission to solve forecasting and radically improve decision-making.
We raised $4 million in our pre-seed funding round, led by Episode 1, with participation from the US trading firm DRW and a range of angel investors including leading researchers at Google DeepMind and Anthropic.

Our Mission
Our Team

Ben Day
Before Mantic Ben was Head of Research at Foresight Data Machines, developing AI for optimizing steel production. Ben has a PhD in machine learning from the University of Cambridge, where he researched meta-learning and graph neural networks. Alongside this, he was a Research Consultant at Relation Therapeutics on AI for drug development.

Toby Shevlane
Before Mantic Toby spent 2.5 years at Google DeepMind, where he worked as a Senior Research Scientist. There, he co-led a team within the Gemini effort that designed experiments to test Gemini’s dual-use capabilities. Before that, Toby’s PhD research at the University of Oxford was about the governance of LLM release decisions and potential misuse risks from AI.

Matthew Aitchison
Previously, Research Engineer at Google DeepMind. PhD from ANU in reinforcement learning.

Scott Jeen
Previously, PhD at University of Cambridge in reinforcement learning.

Vlad Bogolin
Previously, researcher at University of Oxford; Senior Engineer at MariaDB and FlowX.AI. PhD in AI from the Romanian Academy.

Max Clark
Previously, software engineer at Citadel. Highest dissertation mark at University of Cambridge CS undergrad for paper on AlphaGo.

Gabriel Fritsch
Former Goldman Sachs economist, Oxford economics PhD.

Jack Davison
Former Google and Palantir software engineer.

Lukas Alemu
Former data scientist at the Bank of England.

Xiaman Wu
Former McKinsey consultant. Previously leading growth and product at healthtech and edtech start-ups.




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