CAIN-42 MCPGateAGENTIC AI 75 · #73
Industrial expertise captured as agents
Trimble Agent Studio aimed to encode operating procedures and experienced workers' knowledge.
Last reviewed 2026-11-11
Agentic AI 75 / #73
2026 status: Product announcement · Category: Industrial knowledge
The 2026 development
Trimble Agent Studio aimed to encode operating procedures and experienced workers' knowledge.
The governance gap
Captured expertise is only as good as its source and its currency. A procedure that was correct five years ago can be dangerous today, and a model's summary can lose the exception that made it safe.
Where CAIN-42 fits: Moat 3 — Trust Graph
Core question: How is everything connected? Entities, resources, delegations and effects as a graph that can be traversed and audited.
Bind each procedure to its expert, revision and effective date, and keep exceptions explicit. The agent may retrieve the procedure; it may not invent the exception.
How the wiring works
- Record the expert, source and revision of each procedure.
- Keep exceptions and preconditions explicit.
- Expire procedures that have no current review.
- Cite the procedure version in every recommendation.
What is real today
PROPOSED A design mapping only. No dedicated implementation exists yet; do not buy this as a finished control.
No industrial procedure corpus or Trimble integration exists. Tacit-expertise capture is an unsolved problem, as the source list notes.
| Component in this repository | What the module says it is |
|---|---|
cain/runtime/world_model.py | CAIN Sovereign — Self-Evolving World Model adaptation layer (Prompt 7, Phase 12). |
cain/cain_digital_twin.py | CAIN Trust Fabric - CAIN Digital Twin & Blast-Radius Counterfactual Emulator |
cain/causality/graph.py | CAIN CAUSALITY — Causal Event Graph (Prompt CAUSALITY, Phase 3). |
Descriptions are the first line of each module's own docstring, read without importing it. A module path is a pointer into this repository, not a hosted endpoint. Its existence is checked by the test suite; its status for this use is the label above.
Check it yourself
- Inspect the live ARGUS status
/fabric/argus/status - Fire a live decision through the CAIN-42 pipeline
/fabric/try— the same enforcement path every product sits behind.
Commercial package
| Offer | Industrial Knowledge Review |
|---|---|
| Buyer | Industrial vendors and operators |
| Price (proposal) | Advisory from $10,000 |
| Bundle | Physical & Lab — A validity check between the plan and the machine. |
| Operator stream | Stream 2 of the 10-stream operator playbook |
Lab automation, robotics, industrial operations, construction technology is the bundle buyer. The entry offer for this bundle is Physical-action assurance review (advisory, simulation-first); the range is $5,000–$15,000 per engagement. A price on this page is a proposal, not a validated rate, and no customer is claimed.
Buy this as a product or service
CAIN-A75-073 — Industrial Knowledge Review DESIGN
A design-partner statement of work and architecture: authority boundaries, evidence points, and a build plan. No control is delivered and no integration is claimed.
Kind: Assessment · Price (proposal): Advisory from $10,000 · Lead time: 15 business days.
Open the product page · all 75 products
What this page does not claim
What this page is not. CAIN-42 is not affiliated with, endorsed by, integrated into, or shipped with the organisation named in the 2026 item. The item is public context; the page describes how CAIN-42 would govern that class of capability. No page here claims a customer, a partnership, a certification, a patent, or a production integration. Prices are proposals. Built by a three-person team.