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.

KelAI’s developer surface includes engineering blog and 2 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

3.0/100 minimal ▬ flat Agent 0/100 human only Front door AI 4/6 moderate Full breakdown ↓
scored 2026-10-17 · rubric v0.24.0

0 APIs

Company Artificial Intelligence Quantitative Finance Hedge Funds Trading Machine Learning Fintech Investment Research AI Agents

Kin Score

Kin Score How this is scored →
scored 2026-10-17 · rubric v0.24.0

Composite quality — 3.0/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Regulatory Posture applies to this provider. Its tags matched the Securities & Market Data regime (on an ambiguous tag, where no other regime matched), so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/kelai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Kelai Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: kelai
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
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: '0.23'
created: '2026-07-17'
modified: '2026-10-06'
tags:
- Company
- Artificial Intelligence
- Quantitative Finance
- Hedge Funds
- Trading
- Machine Learning
- Fintech
- Investment Research
- AI Agents
tags_raw:
- Company
- Artificial Intelligence
- Quantitative Finance
- Hedge Funds
- Trading
- Machine Learning
- Fintech
- Investment Research
- AI Agents
- Machine-Learning
apis: []
common:
- url: https://kelaitech.com/blog/
  type: Blog
- 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

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