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Capaintel

Platform

Everything between factory data and a good decision.

Capaintel is one platform made of eight modules. Together they connect your data, understand it, and help your teams and agents act on it — with governance built in.

  1. 01

    Sources

    ERP · MES · QMS · documents · machines

  2. 02

    Data Hub

    Connect and normalize

  3. 03

    Context Engine

    Assemble what matters

  4. 04

    AI Operators

    Investigate and prepare

  5. 05

    Manufacturing OS

    Where teams work

  6. 06

    Decisions & Actions

    Approved and logged

Six stages show how data moves from source systems to an approved action. They are not the modules: the eight modules are listed below.

Modules

Eight modules, one connected system.

M-01

Manufacturing OS

The day-to-day operating workspace for your plant teams.

One place where operations, quality and planning teams see open issues, the context behind them, and the next actions waiting on them.

  • Shared workspace for issues, investigations and actions
  • Role-specific views for plant, quality and planning teams
  • Every recommendation links back to its sources

Used in: Production Planning · Operations & Maintenance · Factory Knowledge

M-02

AI Operator

Governed agents that investigate and act on your behalf.

Agents gather evidence, draft analyses and prepare actions using approved tools. Anything risky waits for a person to approve it.

  • Agents work with a defined set of tools and permissions
  • Risky actions pause for human approval
  • Every step is recorded for later review

Used in: Quality & CAPA · Operations & Maintenance

M-03

Context Engine

Retrieves the right operational context for every task.

The memory and retrieval layer behind every agent. It assembles the facts, relationships, documents, history and permissions a task needs — and nothing it shouldn't see.

  • Task-specific context packs, not whole-database dumps
  • Respects the permissions of the person or agent asking
  • Shows which sources informed each answer

Used in: Quality & CAPA · Production Planning · Factory Knowledge

M-04

Document Intelligence

Extracts and classifies manufacturing knowledge from documents.

SOPs, work instructions, specifications, certificates and reports become searchable, structured knowledge instead of files in a shared drive.

  • Reads PDFs, scans, spreadsheets and office documents
  • Classifies documents and extracts key fields
  • Links documents to the parts, lines and suppliers they describe

Used in: Quality & CAPA · Factory Knowledge

M-05

Data Hub

Connects and normalizes enterprise and manufacturing data.

Brings ERP, MES, quality, maintenance and machine data into a consistent model, so a part number means the same thing everywhere.

  • Pluggable connectors for enterprise and plant systems
  • Shared definitions for parts, lines, suppliers and events
  • Tracks where every record came from

Used in: Production Planning · Operations & Maintenance · Factory Knowledge

M-06

Planning & Simulation

Scenario modeling and production planning.

Test what-if scenarios — a late shipment, a line going down, a demand change — before committing the plan.

  • Compare scenarios side by side
  • See constraints and trade-offs before you commit
  • Planning grounded in current operational data

Used in: Production Planning

M-07

Quality & CAPA Intelligence

Quality events, root-cause analysis, CAPA and compliance.

Connects nonconformances, complaints and audit findings to their history, so investigations start with evidence rather than a blank form.

  • Finds related past events and their outcomes
  • Drafts root-cause analyses for review
  • Tracks corrective actions through to verification

Used in: Quality & CAPA

M-08

Observability & Governance

Approvals, audit trail, cost and model visibility.

See what every agent did, why, what it cost and which model and prompt it used. Set the rules for what needs approval.

  • Approval policies by action type and risk
  • Complete audit trail of agent activity
  • Cost, model and prompt visibility

Used in: Operations & Maintenance

How it works

Connect. Understand. Reason. Plan. Act. Learn.

A continuous loop: every decision and its outcome becomes context for the next one.

  1. 1

    Connect

    Plug in the systems, documents and data sources you already have.

  2. 2

    Understand

    Normalize records and map how parts, lines, suppliers and events relate.

  3. 3

    Reason

    Agents investigate with task-specific context and cite their sources.

  4. 4

    Plan

    Compare options and scenarios before anything changes on the floor.

  5. 5

    Act

    Approved actions flow into your systems, with a record of who decided.

  6. 6

    Learn

    Outcomes feed back into context, so the next investigation starts smarter.

Learn feeds back into Connect

Governed AI agents

Agents that do the legwork. People who make the call.

Capaintel's AI Operators investigate, draft and prepare. You decide what they're allowed to do on their own.

Approval requiredPending
Agent
Quality investigator
Proposed
Open supplier corrective action
Evidence
3 related events · 2 inspection records
Policy
External actions need sign-off
ApproveReview evidence
Illustrative example
  • G-01

    Agents have tools

    Each agent works with a defined, reviewable set of tools — query a system, draft a report, open a ticket.

  • G-02

    Task-specific context

    Agents receive only the context the task needs, filtered by the permissions of whoever started it.

  • G-03

    Risky actions need approval

    You decide which actions an agent can take alone and which must wait for a person.

  • G-04

    Every action is logged

    What was done, by which agent, on whose behalf, using which evidence — recorded for review.

  • G-05

    Behavior is observable

    Model choice, prompts and cost are visible, so AI use can be managed like any other operation.

See how Capaintel can become the intelligence layer for your factory.

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