CAIN-42 CAIN Studio

AGENTIC AI 75 · CAIN-A75-012

Research Evidence Review

Experimentally validated biological binder discovery

Last reviewed 2026-11-11

Products / Physical & Lab / CAIN-A75-012

DELIVERABLE   Assessment   Moat lineage: 2026 #12 · operator stream 2

An engine in this repository produces a bounded artifact from a supplied sample today.

What you buy

A defensible answer for this class of system: Keep computational predictions and experimental observations in separate fact classes, and bind each conclusion to the assay that supports it. The run is bounded and the limits are printed with the result.

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.

Price and terms (proposal)

List figureAdvisory engagement from $10,000
Indicative band$2,500–$7,500 one-time (engagement)
Lead time5 business days after a signed SOW and sample intake
BuyerBiotech platforms and research institutes

The list figure comes from the individual offer; the band is the line default. Neither is an invoice. Scope is fixed in a one-page SOW before work starts.

Scope

One process description; simulation only; no hardware connection.

Inputs we need

What you receive

Explicit exclusions

Engine and evidence

This SKU is engine-backed: binder_evidence in cain_a75_engines/binderevidence/engine.py. The operator runs it on your sample with python3 -m cain_agentic_products.cli deliver CAIN-A75-012 --out DIR.

The 2026 development and the CAIN-42 mapping · Check the mechanism · Fire a live governed decision · Public evidence

Next step

Request a scoped quote or a paid pilot: book a 20-minute scoping call. Bring one sample and the decision you need to defend. If the sample is not a fit, we will say so before you pay.

What this offer is not. No customer, partnership, endorsement, certification, patent or third-party audit is claimed. Prices are proposals, not validated rates. DELIVERABLE means a bounded engine run on a sample, not an assessment of a production system. Built by a three-person team.

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