Imubit website screenshot

Imubit

Imubit is a Houston-based industrial AI company behind the Optimizing Brain, the process industry's first Closed Loop AI Optimization (AIO) solution powered by deep reinforcement learning. Its cloud-based platform learns a dynamic model from a plant's own historian and DCS data, then writes optimal setpoints back through existing control-system infrastructure to continuously optimize throughput, yield, energy use and emissions. Imubit reports 100+ closed-loop applications deployed across refining, oil and gas, chemicals, petrochemicals and polymers, cement and building materials, and mining, minerals and metals, and is trusted by 7 of the 10 largest U.S. refiners. Imubit publishes no public developer API; its GitHub organization ships open-source Python libraries for pulling data from industrial historians (OSIsoft PI, Aspen IP21) and supporting infrastructure.

Imubit is profiled on the APIs.io network. Tagged areas include Company, Manufacturing, Artificial Intelligence, Reinforcement Learning, and Process Optimization.

Imubit’s developer surface includes engineering blog, support, and 9 more developer resources.

14.5/100 minimal ▬ flat Agent 4/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyManufacturingArtificial IntelligenceReinforcement LearningProcess OptimizationIndustrial AutomationOil and GasChemicalsEnergy

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 14.5/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 5.8 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 4/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 4 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/imubit: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Imubit Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: imubit
name: Imubit
description: Imubit is a Houston-based industrial AI company behind the Optimizing Brain, the process industry's first Closed
  Loop AI Optimization (AIO) solution powered by deep reinforcement learning. Its cloud-based platform learns a dynamic model
  from a plant's own historian and DCS data, then writes optimal setpoints back through existing control-system infrastructure
  to continuously optimize throughput, yield, energy use and emissions. Imubit reports 100+ closed-loop applications deployed
  across refining, oil and gas, chemicals, petrochemicals and polymers, cement and building materials, and mining, minerals
  and metals, and is trusted by 7 of the 10 largest U.S. refiners. Imubit publishes no public developer API; its GitHub organization
  ships open-source Python libraries for pulling data from industrial historians (OSIsoft PI, Aspen IP21) and supporting infrastructure.
url: https://raw.githubusercontent.com/api-evangelist/imubit/refs/heads/main/apis.yml
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://cdn.prod.website-files.com/68e00deb1f2318dde6956527/69b4a0d3e5fb8e8f90b07597_imubit-og-image-share-1.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Manufacturing
- Artificial Intelligence
- Reinforcement Learning
- Process Optimization
- Industrial Automation
- Oil and Gas
- Chemicals
- Energy
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://imubit.com/
- type: GitHubOrganization
  url: https://github.com/imubit
- type: Blog
  url: https://imubit.com/blog
- type: Support
  url: https://imubit.com/contact
- type: TermsOfService
  url: https://imubit.com/terms-of-use
- type: PrivacyPolicy
  url: https://imubit.com/privacy
- type: Compliance
  url: https://imubit.com/data-security-policy
- type: Packages
  url: packages/imubit-packages.yml
- type: WellKnown
  url: well-known/imubit-well-known.yml
- type: DomainSecurity
  url: security/imubit-domain-security.yml
- type: Conformance
  url: conformance/imubit-conformance.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence