Elemental Cognition

Elemental Cognition is a New York based artificial intelligence company founded in 2015 by Dr. David Ferrucci, the researcher who led the IBM Watson Jeopardy! project. The company builds a neuro-symbolic AI platform that pairs fine-tuned large language models with a formal, multi-strategy reasoning engine, so that answers are produced by the reasoning engine over an explicit Formal Knowledge Model rather than by the language model itself. The platform is marketed for high-stakes decision work in supply chain, life sciences, higher education, travel and investment management, and it was the reasoning layer behind Bridgewater's AI investment fund. Elemental Cognition packaged this as the Cogent and Cora enterprise applications, delivered as SaaS on Google Cloud, in a customer's own cloud, or on premises. The company does not run a public developer program: the platform generates callable cloud APIs automatically from each customer's own knowledge model, so the contract is tenant-specific and never published publicly.

Elemental Cognition is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Natural Language Processing, and Reasoning.

🌐 Visit website 📡 Source on GitHub
6.1/100 minimal ▬ flat Agent 3/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyArtificial IntelligenceMachine-LearningNatural Language ProcessingReasoningEnterprise AIKnowledge ModelsDecision Support

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 6.1/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Access Clarity 0.0 / 20
Operational Transparency 0.3 / 13
Contract Governance 0.0 / 12
Discoverability 5.7 / 10
Agent readiness — 3/100 · 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 7 / 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
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.
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/elemental-cognition: 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 →

Pricing Plans 1

Published pricing tiers and plan structures.

Elemental Cognition Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Elemental Cognition Rate Limits

0 limits

RATE LIMITS

Security Posture 1

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

Elemental Cognition Domain Security

DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits
RateLimits

Commercial 1

Pricing, plans, and the legal terms of use

Plans
Plans

Company 2

The organization behind the API

Website
Website
 LinkedIn
LinkedIn

Source (apis.yml)

apis.yml Raw ↑ 
aid: elemental-cognition
name: Elemental Cognition
description: 'Elemental Cognition is a New York based artificial intelligence company founded in 2015 by Dr. David Ferrucci,
  the researcher who led the IBM Watson Jeopardy! project. The company builds a neuro-symbolic AI platform that pairs fine-tuned
  large language models with a formal, multi-strategy reasoning engine, so that answers are produced by the reasoning engine
  over an explicit Formal Knowledge Model rather than by the language model itself. The platform is marketed for high-stakes
  decision work in supply chain, life sciences, higher education, travel and investment management, and it was the reasoning
  layer behind Bridgewater''s AI investment fund. Elemental Cognition packaged this as the Cogent and Cora enterprise applications,
  delivered as SaaS on Google Cloud, in a customer''s own cloud, or on premises. The company does not run a public developer
  program: the platform generates callable cloud APIs automatically from each customer''s own knowledge model, so the contract
  is tenant-specific and never published publicly.'
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - rate-limits
  - security
  generated: '2026-09-02'
  method: derived
image: https://avatars.githubusercontent.com/u/62571121?v=4
url: https://raw.githubusercontent.com/api-evangelist/elemental-cognition/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: stub
x-tier-reason: harvest
specificationVersion: '0.23'
created: '2026-08-12'
modified: '2026-08-12'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Natural Language Processing
- Reasoning
- Enterprise AI
- Knowledge Models
- Decision Support
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Natural Language Processing
- Reasoning
- Enterprise AI
- Knowledge Models
- Decision Support
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://ec.ai/
- type: GitHubOrganization
  url: https://github.com/ElementalCognition
- type: LinkedIn
  url: https://www.linkedin.com/company/elementalcognition
- type: DomainSecurity
  url: security/elemental-cognition-domain-security.yml
- type: Plans
  url: plans/elemental-cognition-plans-pricing.yml
- type: RateLimits
  url: rate-limits/elemental-cognition-rate-limits.yml
- type: LLMsTxt
  url: llms/elemental-cognition-llms.txt
x-enrichment:
  date: '2026-08-12'
  status: minimal
  artifacts_added: 6
  pass: local-v1
x-coverage:
  state: none
  reason: defunct
  detail: 'Elemental Cognition''s own site ec.ai now terminates no TLS on 443 and returns Cloudflare "error code: 1001" (origin
    unresolvable) on 80 — the last successful Internet Archive capture is 2024-11-24 — while its product subdomains cogent.ec.ai
    and cora.ec.ai are dangling DNS records answering with certificates for unrelated third parties, so no public surface
    of any kind remains to profile.'
  evidence:
  - url: http://ec.ai/
    status: 409
  - url: https://ec.ai/
    status: 0
  - url: https://cora.ec.ai/.well-known/agent-card.json
    status: 401
  - url: https://github.com/ElementalCognition
    status: 200
  checked: '2026-08-12'

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