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Numerai

Category: AI in Fintech

Numerai is an AI-powered, crowd-sourced hedge fund that incentivizes a global network of data scientists to develop predictive models for the stock market. Numerai was founded in 2015. The company is led by Richard Craib. Based in San Francisco, United States. Team size: 11-50. Total funding raised: $21.5M. Latest round: Series B. Key investors include Union Square Ventures, Paradigm, Placeholder, Paul Tudor Jones, Howard Morgan.

Founded
2015
Headquarters
San Francisco, United States
Team size
11-50
Total funding
$21.5M

Value proposition

To build the world's most advanced hedge fund by creating a collaborative platform where data scientists can model the stock market using encrypted data and are incentivized through a cryptocurrency (NMR) staking mechanism.

Products and solutions

Numerai Tournament: A weekly competition where data scientists submit predictive models based on obfuscated financial data., Numerai Signals: A platform for users to upload their own stock market signals, based on any dataset., Numeraire (NMR): The cryptocurrency token used for staking on models and rewarding participants.

Unique value

Numerai is the first hedge fund to crowdsource its core investment models from a global network of anonymous data scientists, using encrypted data and its own cryptocurrency, Numeraire (NMR), to incentivize accurate predictions.

Target customer

Data scientists, machine learning engineers, and quantitative analysts who compete in the tournament, as well as investors in the hedge fund.

Industries served

Financial Services, Hedge Funds, Artificial Intelligence

Technology advantage

Its primary advantage is the 'network effect' of its global data science community, which creates a powerful, ever-improving 'meta-model' for stock predictions. The use of data obfuscation protects its proprietary trading strategies while opening up model development to anyone. The NMR staking mechanism aligns the incentives of the data scientists with the fund's performance.

How they differentiate

Numerai differentiates itself by being a crowdsourced, AI-powered hedge fund that uses its own cryptocurrency, Numeraire (NMR), for staking on predictive models. Data scientists are given obfuscated financial data to build machine learning models, and they stake NMR on their models' performance to earn rewards. This creates a unique incentive structure and allows Numerai to source a diverse range of trading strategies from a global network of data scientists without revealing the underlying financial data.

Main competitors

QuantConnect, Quantiacs

Key partnerships

JPMorgan (major backing), Union Square Ventures (investor), Paradigm (investor), Placeholder (investor)

Notable customers

JPMorgan Chase

Major milestones

Launch of the Numerai tournament, a continuous data science competition., Creation and integration of the Numeraire (NMR) cryptocurrency for staking and rewards., Launch of Numerai Signals, allowing participants to submit predictions on any stock, using their own data., Secured a $500 million commitment from JPMorgan Chase in August 2025., Has maintained positive returns since the inception of its hedge fund.

Growth metrics

Specific growth metrics such as revenue or user growth are not publicly disclosed. However, the recent $500M commitment from JPMorgan indicates significant traction and institutional trust.

Market positioning

Numerai is positioned as a decentralized, AI-driven hedge fund that leverages blockchain technology and a global community of data scientists to make stock market predictions. It operates at the intersection of artificial intelligence, finance, and cryptocurrency.

Geographic focus

Global. As a decentralized platform, Numerai attracts data scientists and participants from all over the world.

Patents and IP

Specific patent information is not publicly available. Their core IP lies in their unique business model, encrypted dataset, and the meta-model created from the tournament submissions.

About Richard Craib

Prior to founding Numerai, Richard Craib was a quantitative analyst at Prudential Portfolio Managers (M&G Investments) in South Africa. He studied Mathematics at Cornell University.

Official website: