Archimetis website screenshot

Archimetis

Archimetis builds an AI-powered Operational Reasoning System for refineries, chemicals, and heavy process industries. The platform unifies data from disparate operational sources — plant historians, linear programs, advanced process control models, and digital engineering documents — into a single intelligence layer, then continuously monitors operations, performs complex engineering analysis, and applies industry best practices to surface actionable insights for operators and engineers. Marketed as "See more. Solve smarter," it targets margin improvement, cost savings, and process safety across refining, chemicals, and other heavy industries. Founded in 2023, the company raised $11.5M led by Inspired Capital. Archimetis is an enterprise B2B platform engaged through guided working sessions and demos; it does not currently publish a public API, developer portal, or SDKs.

Archimetis is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Industrial, Refining, and Chemicals.

6.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyArtificial IntelligenceIndustrialRefiningChemicalsProcess IndustriesOperational IntelligenceEnergyManufacturing

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Regulatory Posture applies to this provider. Its tags matched the Energy & Utilities regime, 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/archimetis: 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.

Archimetis Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 1

Authentication, authorization, and security posture

Commercial 1

Pricing, plans, and the legal terms of use

Company 5

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: archimetis
name: Archimetis
description: Archimetis builds an AI-powered Operational Reasoning System for refineries, chemicals, and heavy process industries.
  The platform unifies data from disparate operational sources — plant historians, linear programs, advanced process control
  models, and digital engineering documents — into a single intelligence layer, then continuously monitors operations, performs
  complex engineering analysis, and applies industry best practices to surface actionable insights for operators and engineers.
  Marketed as "See more. Solve smarter," it targets margin improvement, cost savings, and process safety across refining,
  chemicals, and other heavy industries. Founded in 2023, the company raised $11.5M led by Inspired Capital. Archimetis is
  an enterprise B2B platform engaged through guided working sessions and demos; it does not currently publish a public API,
  developer portal, or SDKs.
url: https://raw.githubusercontent.com/api-evangelist/archimetis/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- homebrew
x-tier: stub
x-tier-reason: portfolio-lead
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
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
image: https://cdn.prod.website-files.com/6936f591299ba4cb1091f78b/69374c72d3b67f1779918b2f_webcliip-archimetis.jpg
tags:
- Company
- Artificial Intelligence
- Industrial
- Refining
- Chemicals
- Process Industries
- Operational Intelligence
- Energy
- Manufacturing
tags_raw:
- Company
- AI
- Industrial
- Refining
- Chemicals
- Process Industries
- Operational Intelligence
- Energy
- Manufacturing
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.archimetis.ai
- type: About
  url: https://www.archimetis.ai/#experts
- type: Careers
  url: https://www.archimetis.ai/careers-mission
- type: PrivacyPolicy
  url: https://www.archimetis.ai/legal/customer-partner-policy
- type: LinkedIn
  url: https://www.linkedin.com/company/archimetis/
- type: Twitter
  url: https://x.com/archimetisAI
- type: DomainSecurity
  url: security/archimetis-domain-security.yml
- type: WellKnown
  url: well-known/archimetis-well-known.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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