CI-00Manufacturing intelligence platform
Industrial Intelligence for Modern Manufacturing
Capaintel connects factory knowledge, operational data, AI agents, and planning systems so manufacturers can understand what is happening, decide what to do next, and act with governance.
- 01
Sources
ERP · MES · QMS · documents · machines
- 02
Data Hub
Connect and normalize
- 03
Context Engine
Assemble what matters
- 04
AI Operators
Investigate and prepare
- 05
Manufacturing OS
Where teams work
- 06
Decisions & Actions
Approved and logged
01The problem
Your plant already knows the answer. It's just scattered.
Manufacturing knowledge is spread across systems, documents, inboxes and people. Every investigation, plan and hand-over starts with someone chasing it down. Capaintel brings it together into governed operational context.
- S-01
ERP / MES
- S-02
Quality systems
- S-03
SOPs & PDFs
- S-04
Maintenance history
- S-05
Spreadsheets
- S-06
Email & chat
- S-07
Machine / IoT data
- S-08
Tribal knowledge
Capaintel
Governed operational context
One connected, permission-aware view of what your plant knows — ready for people and agents to use.
02Platform
One platform, from raw factory data to approved action.
Eight modules that work together. Start with the problem that matters most, and add the rest when you're ready.
Manufacturing OS
The day-to-day operating workspace for your plant teams.
Learn moreAI Operator
Governed agents that investigate and act on your behalf.
Learn moreContext Engine
Retrieves the right operational context for every task.
Learn moreDocument Intelligence
Extracts and classifies manufacturing knowledge from documents.
Learn moreData Hub
Connects and normalizes enterprise and manufacturing data.
Learn morePlanning & Simulation
Scenario modeling and production planning.
Learn moreQuality & CAPA Intelligence
Quality events, root-cause analysis, CAPA and compliance.
Learn moreObservability & Governance
Approvals, audit trail, cost and model visibility.
Learn more
03How it works
Connect. Understand. Reason. Plan. Act. Learn.
A continuous loop: every decision and its outcome becomes context for the next one.
- 1
Connect
Plug in the systems, documents and data sources you already have.
- 2
Understand
Normalize records and map how parts, lines, suppliers and events relate.
- 3
Reason
Agents investigate with task-specific context and cite their sources.
- 4
Plan
Compare options and scenarios before anything changes on the floor.
- 5
Act
Approved actions flow into your systems, with a record of who decided.
- 6
Learn
Outcomes feed back into context, so the next investigation starts smarter.
Learn feeds back into Connect
04Use cases
Built for the work your teams do every day.
Quality & CAPA
Investigate quality events with related history already assembled.
Production planning
Compare scenarios before committing the plan.
Maintenance & downtime
Understand why a line stopped and coordinate the response.
Supplier quality
See a supplier's issues, certificates and actions together.
SOP & work instructions
Find the current approved instruction, with its source.
Root-cause analysis
Evidence gathered across systems, drafted for engineering review.
Factory knowledge search
Ask the plant's documents and history in plain language.
Agent-assisted operations
Agents prepare the hand-offs; people approve them.
05Context Engine
The memory behind every agent.
The Context Engine is the memory and retrieval layer behind every Capaintel agent. It assembles the right facts, relationships, documents, history, and permissions for the task at hand.
- Data Hub records
- Documents
- Events & history
- Entity relationships
Context Engine
Assembles what this task needs — and only what the requester may see.
Context pack · per task
- Facts
- Relationships
- Documents
- History
- Permissions
Handed to the agent or person doing the work, with sources attached.
06Governed 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.
- Agent
- Quality investigator
- Proposed
- Open supplier corrective action
- Evidence
- 3 related events · 2 inspection records
- Policy
- External actions need sign-off
- 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.
07Outcomes
What changes when context is connected.
Faster investigation
Start from related history and evidence instead of a blank page.
Fewer knowledge silos
What one shift, plant or expert knows becomes findable by everyone.
More consistent decisions
Similar problems get handled with the same evidence and standards.
Less manual coordination
Agents gather information and prepare the hand-offs people used to chase.
Better traceability
Every decision links to its sources, approvals and outcome.
Faster onboarding
New team members can ask the plant's accumulated knowledge directly.
08Enterprise readiness
Built to fit how manufacturers run IT.
Capaintel connects to the systems you already have and follows the access and approval rules you set.
API-first
Every capability is available through documented APIs.
Role-based access
People and agents see only what their role allows.
Auditability
A complete record of activity, approvals and data access.
Private deployment options
Run in your own cloud environment when required.
Model-agnostic inference
Choose the AI models that fit your policies and costs.
Pluggable data connectors
Connect the systems you have rather than replacing them.
Human approval gates
Configurable checkpoints before agents change anything.