Iris.ai

Iris.ai is a Norwegian AI company providing an AI knowledge foundation for regulated enterprises, turning complex enterprise and scientific data into trustworthy, compliant AI. Its platform spans three products — Axion (data organization for AI-ready intelligence), Neuralith (enterprise knowledge integration into AI engines), and RSpace, the Researcher Workspace that lets R&D teams, librarians, and academics search, filter, analyze, extract, summarize, and report across scientific literature. Iris.ai is backed by 500 Global. The company does not currently publish a public developer API, SDKs, or a developer portal; this profile captures its public identity and domain-security posture pending any future developer surface.

Iris.ai is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Research, and Knowledge-Management.

Iris.ai’s developer surface includes engineering blog, support, and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

6.0/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Machine-Learning Research Knowledge-Management Enterprise Data

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 6.0/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.0 / 20

Access Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 10

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

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/irisai: 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.

Irisai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support

Support

HelpCenter

HelpCenter

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: irisai
name: Iris.ai
description: Iris.ai is a Norwegian AI company providing an AI knowledge foundation for regulated enterprises, turning complex
  enterprise and scientific data into trustworthy, compliant AI. Its platform spans three products — Axion (data organization
  for AI-ready intelligence), Neuralith (enterprise knowledge integration into AI engines), and RSpace, the Researcher Workspace
  that lets R&D teams, librarians, and academics search, filter, analyze, extract, summarize, and report across scientific
  literature. Iris.ai is backed by 500 Global. The company does not currently publish a public developer API, SDKs, or a developer
  portal; this profile captures its public identity and domain-security posture pending any future developer surface.
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: []
  generated: '2026-07-22'
  method: derived
image: https://corporate-cdn.iris.ai/iris-open-graph-cover-1200x626.png
url: https://raw.githubusercontent.com/api-evangelist/irisai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Research
- Knowledge-Management
- Enterprise
- Data
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Research
- Knowledge Management
- Enterprise
- Data
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://iris.ai
- type: Blog
  url: https://iris.ai/blog
- type: Support
  url: https://iris.ai/help-center/
- type: HelpCenter
  url: https://iris.ai/help-center/
- type: TermsOfService
  url: https://iris.ai/terms-of-service
- type: PrivacyPolicy
  url: https://iris.ai/privacy-policy
- type: DomainSecurity
  url: security/irisai-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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