Operon

Operon is an AI-powered manufacturing intelligence platform (Y Combinator S2026) that turns P&IDs (Piping & Instrumentation Diagrams), schematics, datasheets, and scanned engineering documents into one structured, queryable model of a plant. Its P&ID Recognition detects equipment, instruments, valves, and piping symbols across ISA, ISO, and proprietary symbology; its P&ID Agent generates standards-compliant diagrams from text, simulation data, or sketches; and Knowledge Chat lets engineers query plant documentation in natural language and build agentic workflows for safety, compliance, HAZOP/PHA, EHS, material take-offs, brownfield digitization, and management-of-change. Operon exports structured DEXPI data and offers cloud and on-premise deployment with encryption, role-based access control, and audit trails. As of July 2026 the product is in private beta (pid.operonsolutions.com) and publishes no public API.

Operon is profiled on the APIs.io network. Tagged areas include Company, Manufacturing, Industrial, Engineering, and Artificial Intelligence.

Operon’s developer surface includes engineering blog, support, and 4 more developer resources.

🌐 Visit website 📡 Source on GitHub

11.9/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Manufacturing Industrial Engineering Artificial IntelligenceP&IDProcess IndustriesChemical EngineeringData IntelligenceDEXPI

Kin Score

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

Composite quality — 11.9/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.4 / 20

Access Clarity 5.5 / 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/operon: 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 →

Resources

Get Started 1

Portal, sign-up, and the first successful call

Login

Operate 1

Status, limits, changes, and where to get help

Support

Support

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: operon
name: Operon
description: Operon is an AI-powered manufacturing intelligence platform (Y Combinator S2026) that turns P&IDs (Piping & Instrumentation
  Diagrams), schematics, datasheets, and scanned engineering documents into one structured, queryable model of a plant. Its
  P&ID Recognition detects equipment, instruments, valves, and piping symbols across ISA, ISO, and proprietary symbology;
  its P&ID Agent generates standards-compliant diagrams from text, simulation data, or sketches; and Knowledge Chat lets engineers
  query plant documentation in natural language and build agentic workflows for safety, compliance, HAZOP/PHA, EHS, material
  take-offs, brownfield digitization, and management-of-change. Operon exports structured DEXPI data and offers cloud and
  on-premise deployment with encryption, role-based access control, and audit trails. As of July 2026 the product is in private
  beta (pid.operonsolutions.com) and publishes no public API.
url: https://raw.githubusercontent.com/api-evangelist/operon/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
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://www.operonsolutions.com/favicon.ico
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Manufacturing
- Industrial
- Engineering
- Artificial Intelligence
- P&ID
- Process Industries
- Chemical Engineering
- Data Intelligence
- DEXPI
apis: []
common:
- type: Website
  url: https://www.operonsolutions.com/en
- type: Blog
  url: https://www.operonsolutions.com/en/blog
- type: Login
  url: https://www.operonsolutions.com/en/signin
- type: Support
  url: https://www.operonsolutions.com/en#contact
- type: TermsOfService
  url: https://www.operonsolutions.com/en/terms
- type: PrivacyPolicy
  url: https://www.operonsolutions.com/en/privacy
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 0
  pass: local-v1

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/operon"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/operon/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/operon/evidence"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.