KelAI

KelAI (Kelai) is an AI quant research platform for hedge funds and institutional investors that positions itself as an autonomous alpha engine. Its AI agents run the full systematic-research workflow — generating trading-signal ideas, writing and testing research code, analyzing market data, running backtests and validation, and monitoring live signal performance — consolidating what normally runs across siloed systems and inefficient workflows. Founded by Jeremie Cohen, a former WorldQuant portfolio manager and head of event-driven systematic strategies who also led machine learning teams at Millennium Management, KelAI is part of Y Combinator's Spring 2026 batch and is deployed with institutional investors. As an early-stage company it does not yet publish a public developer API, documentation, or SDKs.

KelAI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Quantitative Finance, Hedge Funds, and Trading.

🌐 Visit website 📡 Source on GitHub

7.7/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyArtificial IntelligenceQuantitative FinanceHedge FundsTradingMachine LearningFintechInvestment ResearchAI Agents

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 7.7/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

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Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: kelai
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/kelai.png
name: KelAI
description: KelAI (Kelai) is an AI quant research platform for hedge funds and institutional investors that positions itself
  as an autonomous alpha engine. Its AI agents run the full systematic-research workflow — generating trading-signal ideas,
  writing and testing research code, analyzing market data, running backtests and validation, and monitoring live signal performance
  — consolidating what normally runs across siloed systems and inefficient workflows. Founded by Jeremie Cohen, a former WorldQuant
  portfolio manager and head of event-driven systematic strategies who also led machine learning teams at Millennium Management,
  KelAI is part of Y Combinator's Spring 2026 batch and is deployed with institutional investors. As an early-stage company
  it does not yet publish a public developer API, documentation, or SDKs.
url: https://raw.githubusercontent.com/api-evangelist/kelai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Quantitative Finance
- Hedge Funds
- Trading
- Machine Learning
- Fintech
- Investment Research
- AI Agents
apis: []
common:
- type: DomainSecurity
  url: security/kelai-domain-security.yml
- type: Website
  url: https://kelaitech.com/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

KelAI

Kin Score

Security Posture 1

Kelai Domain Security

Resources

Access & Security 1

Company 1

Source (apis.yml)