Bring one expensive AI, QML, science, or operations claim; get a board-ready proof packet, reviewer brief, and paid-pilot go/no-go in 72 hours.
Score one expensive AI, QML, science, or operations claim before you sell a pilot. The first service is narrow: one claim, one evidence source, one Catalyst-Q proof packet, one reviewer brief.
This keeps Catalyst-Q service delivery focused while preserving the bigger AI/QML, science, agent infra, and operations surface.
Buyer: AI platform, biotech, hedge fund, or agent-infra teams with a model claim that needs evidence before funding.
Decide whether one AI or QML model claim deserves an experiment, pilot, or kill decision.
Catalyst-Q role: Catalyst-Q runs scoped QML, benchmark, optimization, or verification workloads and emits the Quantum Execution Record.
First artifact: Model claim proof packet with baseline, uncertainty, replay, and reviewer notes.
Buyer: Drug discovery, materials, catalyst, battery, and R&D teams choosing which AI-generated candidate to fund.
Rank or reject one candidate set before wet-lab, synthesis, or partner spend.
Catalyst-Q role: Catalyst-Q verifies the expensive candidate surface while AI Workers gather external evidence and Catalyst Brain keeps prior assumptions.
First artifact: Candidate triage packet with verification scope, literature/prior-art map, and scientist approval brief.
Buyer: AI agent, platform, security, and operations teams that need to validate whether an agent action can be trusted.
Turn an agent claim into evidence, controls, deterministic gates, and a human approval path.
Catalyst-Q role: Catalyst-Q stress-tests the decision surface and records the verification path beside model-route and tool-call evidence.
First artifact: Agent trust packet with assumptions, tool traces, guardrails, and rollout decision.
Buyer: Operations and routing teams with a visible cost, lateness, capacity, fuel, or dispatch decision.
Know whether the route or field-ops workflow is ready for a paid pilot.
Catalyst-Q role: Catalyst-Q compares the candidate path against the dispatcher baseline and open benchmark rows where available.
First artifact: Route Decision Record and paid-pilot qualification.
$2,500-$7,500 fixed-scope 72-hour Proof Sprint. Convert to paid pilot only when the proof packet earns it.
Submit the claim, decision owner, value at risk, and the first evidence source.
Route the claim to the narrowest proof engine and name missing data.
Approve the evidence boundary and provide redacted or synthetic inputs if needed.
Run Catalyst-Q verification, AI Worker evidence gathering, and Catalyst Brain context injection.
Inspect the proof packet and decide whether to fund the next step.
Generate the board-ready brief, .rain replay path, and paid-pilot recommendation.
Show the artifact shape without touching private customer data.
Fixed scope, fast turnaround, clear decision.
base subscription + usage + verified outcome upside