Numerai Signals
Numerai is a crowdsourced AI hedge fund — data scientists submit predictive signals + are paid in NMR (cryptocurrency) based on signal performance. Numerai Signals is the global-equities tournament. Founded 2015 by Richard Craib. ~$200M AUM reported.
At a glance
- Type
- Crowdsourced AI signals hedge-fund platform
- Tier
- T3
- Created
- 2015 (founded); Signals 2019
- Latest release
- not applicable — wrong section
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- not applicable — wrong section
- Funding
- Numerai: $11M Series A 2017 (USV + Coatue); NMR token issuance
Taxonomy
- storage
- none-trivial
- retrieval
- none
- persistence
- session-only
- update
- agent-controlled
- unit
- turn
- governance
- opaque
- conflict
- out-of-scope
When to use
Optimised for: crowdsourced AI predictive signals for global equities
Anti-fit: not applicable — wrong section
Pros & cons
Pros
Unique crowdsourced/token-incentive model; long-running; differentiated from agent-platform peers.
Cons
Niche model; token-incentive complications; AUM small vs traditional hedge funds; not strictly an 'agent platform' but qualifies as use-case-specific AI in finance.
Claims & capabilities
Numerai founded 2015 (Richard Craib); >$200M AUM; thousands of data-scientist participants; NMR token incentive structure
Technical surface
- API surface
- not applicable — wrong section
- Backend storage
- not applicable — wrong section
- Deployment
- not applicable — wrong section
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- not applicable — wrong section
- MCP
- not applicable — wrong section
- A2A
- not applicable — wrong section
- OpenTelemetry
- not applicable — wrong section
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