CAIN-42 MCPGate

AGENTIC AI 75 · #2

Agent-operated molecular-biology laboratories

AutoDNA coordinated AI agents and laboratory equipment for about 200 hours, with humans still handling consumables and waste.

Last reviewed 2026-11-11

Agentic AI 75 / #2

SIMULATEDMoat 5 · Predictive Trust & Blast RadiusBundle · Physical & LabStream 2

2026 status: Research demonstration · Category: Scientific labs

The 2026 development

AutoDNA coordinated AI agents and laboratory equipment for about 200 hours, with humans still handling consumables and waste.

The governance gap

A digital agent that can command physical equipment needs a validity check between the plan and the machine: reagent identity, volume, inventory, state and a reversible stop. A text-only guardrail cannot see any of that.

Where CAIN-42 fits: Moat 5 — Predictive Trust & Blast Radius

Core question: What could happen before we let it happen? Pre-execution analysis of reach, exposure and consequence, including simulations.

Model the physical action before it is sent: equipment state, reagent identity and volume, inventory and exposure. CAIN's digital-twin emulator and ARGUS physical-assurance stage provide the simulation surface; the honest label is SIMULATED, not live hardware.

How the wiring works

  1. Register each instrument and reagent as a typed resource with a current state digest.
  2. Translate the agent's proposed step into a physical action with explicit volumes and targets.
  3. Run the action against the digital twin and compute blast radius before dispatch.
  4. Emit a signed receipt binding the plan, the simulated state and the observed instrument result.

What is real today

SIMULATED A lab, replay or physical-simulation path. It is not hardware, not a real customer action, and not a safety certification.

There is no laboratory hardware attached to this deployment. The physical stage is a simulation, and it must not be presented as a validated lab control or a safety case.

Component in this repositoryWhat the module says it is
cain/cain_digital_twin.pyCAIN Trust Fabric - CAIN Digital Twin & Blast-Radius Counterfactual Emulator
cain/argus/physical.pyCAIN ARGUS — physical-AI assurance (Prompt 14, section 15). SIMULATED.
cain/argus/path.pyCAIN ARGUS — execution-path assurance (Prompt 14, section 7).
cain/worm_export.pyCAIN Trust Fabric - tamper-evident WORM Causal Evidence Fabric (Phase 4)

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

Commercial package

OfferPhysical Autonomy Assurance Review
BuyerLab-automation vendors and research institutes
Price (proposal)$7,500–$15,000 per engagement
BundlePhysical & Lab — A validity check between the plan and the machine.
Operator streamStream 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-A75-002 — Physical Autonomy Assurance Review DELIVERABLE

A bounded engine run on the buyer's sample: findings, a written report, and a SHA-256 artifact manifest. The manifest is unsigned: it is not a signature and not an attestation.

Kind: Assessment · Price (proposal): $7,500–$15,000 per engagement · Lead time: 5 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.

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