Control Seat

Control Seat is an AI-native industrial systems integrator building a modern replacement for legacy SCADA (Supervisory Control and Data Acquisition) platforms such as Ignition, WinCC, and FactoryTalk. It designs, builds, deploys, and runs the full industrial control stack, from PLC programming (Allen-Bradley, Siemens, Beckhoff) and HMI/SCADA operator screens to OT/IT networking, historians, and analytics, on a single unified platform. The product connects to field devices over OPC UA and MQTT (Sparkplug B), integrates with AVEVA PI, Ignition, and standard SQL/time-series databases (PostgreSQL, MySQL, InfluxDB, Prometheus) plus REST APIs, and streams 10k+ tags per second at sub-100ms latency. AI-native features let operators generate control screens in seconds, run anomaly detection and forecasting, and query the historian in plain English. Enterprise capabilities include SSO, SCIM, role-based access control, and audit logs, with deployment on managed cloud or self-hosted on-premises. Founded in 2025 by Jack Grodnick and Warren Shepard, Control Seat is based in San Francisco and backed by Y Combinator (Summer 2026).

Control Seat is profiled on the APIs.io network. Tagged areas include Company, SCADA, Industrial, Monitoring, and Workflow-Automation.

Control Seat’s developer surface includes documentation, API reference, changelog, engineering blog, pricing, support, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

20.8/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company SCADA Industrial Monitoring Workflow-Automation Manufacturing Analytics Real-Time IoTHistorian

Kin Score

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

Composite quality — 20.8/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 6.7 / 20

Access Clarity 6.3 / 20

Operational Transparency 2.1 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 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/control-seat: 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.

Control Seat Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

ChangeLog

ChangeLog

Support

Contact

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

Blog

Blog

About

About

Source (apis.yml)

aid: control-seat
name: Control Seat
description: Control Seat is an AI-native industrial systems integrator building a modern replacement for legacy SCADA (Supervisory
  Control and Data Acquisition) platforms such as Ignition, WinCC, and FactoryTalk. It designs, builds, deploys, and runs
  the full industrial control stack, from PLC programming (Allen-Bradley, Siemens, Beckhoff) and HMI/SCADA operator screens
  to OT/IT networking, historians, and analytics, on a single unified platform. The product connects to field devices over
  OPC UA and MQTT (Sparkplug B), integrates with AVEVA PI, Ignition, and standard SQL/time-series databases (PostgreSQL, MySQL,
  InfluxDB, Prometheus) plus REST APIs, and streams 10k+ tags per second at sub-100ms latency. AI-native features let operators
  generate control screens in seconds, run anomaly detection and forecasting, and query the historian in plain English. Enterprise
  capabilities include SSO, SCIM, role-based access control, and audit logs, with deployment on managed cloud or self-hosted
  on-premises. Founded in 2025 by Jack Grodnick and Warren Shepard, Control Seat is based in San Francisco and backed by Y
  Combinator (Summer 2026).
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.controlseat.com/ControlSeatFavicon.PNG
url: https://raw.githubusercontent.com/api-evangelist/control-seat/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: profiled
x-tier-reason: enriched-from-public-surface
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- SCADA
- Industrial
- Monitoring
- Workflow-Automation
- Manufacturing
- Analytics
- Real-Time
- IoT
- Historian
tags_raw:
- Company
- SCADA
- Industrial
- Monitoring
- Workflow Automation
- Manufacturing
- Analytics
- Real-Time
- IoT
- Historian
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/control-seat-domain-security.yml
- type: Website
  url: https://www.controlseat.com/
- type: DeveloperPortal
  url: https://www.controlseat.com/docs
- type: Documentation
  url: https://www.controlseat.com/docs
- type: APIReference
  url: https://www.controlseat.com/docs
- type: ChangeLog
  url: https://www.controlseat.com/updates
- type: ChangeLog
  url: changelog/control-seat-changelog.yml
- type: LLMsTxt
  url: llms/control-seat-llms.txt
- type: Blog
  url: https://www.controlseat.com/blog
- type: Pricing
  url: https://www.controlseat.com/pricing
- type: Support
  url: mailto:founders@controlseat.com
- type: TermsOfService
  url: https://www.controlseat.com/terms
- type: PrivacyPolicy
  url: https://www.controlseat.com/privacy
- type: About
  url: https://www.controlseat.com/about
- type: Contact
  url: https://www.controlseat.com/contact
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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