Tenant Trust PlaneNorthstar Freight Ops
Auth modeanonymous
Workspace switcher3 workspaces
Quantum Studio

Build and run virtual quantum workloads with the proof trail attached.

Catalyst-Q Workbench now opens on the circuit, backend, job, and result workflow buyers expect from a serious quantum provider. Prove better operational decisions before you automate them. RouteOps, chemistry, SAT, many-body, grid, and agent-governance verticals live under Applications once a workload needs a business proof room. Replay the baseline, run in shadow mode, launch a controlled rollout, and expand only when savings are verified.

$1.1Mexample annual net
3 mopayback target
94%proof confidence
4 gatesbaseline to contract
First 10 minutes in Catalyst-Q

Confirm workspace

Check the Tenant Trust Plane, auth mode, role, and workspace before a proof run starts.

Run 01

Run Catalyst-Q

Open the Circuit Canvas or SDK path, choose a Catalyst-Q backend, and create the Quantum Execution Record.

Pilot path

Open an MVP room

Move the workload into RouteOps, chemistry, FinOps, agent review, or edge operations only when it deserves a design-partner pilot.

Approval

Invite the approver

Share the signed record, assumptions, rollback path, and decision owner lane before production action.

Quantum Studio

Circuit Canvas, Backends, Jobs, Results, and proof in one flow.

Start with a familiar provider-style workflow: compose a circuit, inspect OpenQASM or Python SDK code, Run on Catalyst-Q, then save the Quantum Execution Record to the tenant .rain Ledger.

SDK Keys

Live Quantum Studio

Gate Palette, Studio template controls, and visual lanes for first-run onboarding.

Circuit Canvas preview
H X CX RZ QFT U
q0HCXRZM
q1CXHM
q2XQFTUM
QASM previewOPENQASM 3; qubit[3] q; h q[0]; cx q[0], q[1];
Python SDK previewjob = catalyst_q.run(circuit, backend="catalyst-q")

Run on Catalyst-Q

Choose the backend, submit the job, and keep the signed artifact.

Execution Queue
BackendsCatalyst-Q virtual computer
Job statusReady for first run
ResultsResult histogram + confidence
.rain Ledgerrain:tenant-scoped-footprint
48%00
6%01
7%10
39%11
First-session progressWorkspace confirmed
Studio runRun a job
Record vaultSave the record

Execution Record Vault is empty until you save a Studio run.

Quantum Execution Recordsigned

Replay ID, signature, approval state, and exact run metadata.

Catalyst-Q backend recordready

Shows why a candidate result should be reviewed before it becomes an approved decision.

Applicationsside rail

RouteOps Proof Room, chemistry, SAT, many-body, grid, and agent governance.

Tenant Trust Plane

Northstar Freight Ops

Post-login work starts inside a tenant boundary: verified identity, tenant-scoped roles, isolated proof rooms, .rain replay, and Catalyst Brain context that stays inside this workspace.

Sample enterprise workspaceplan and access motion
tenant_sample_freight_opstenant id from session
pilot_admin, approval_ownerroles for this session
tenant-scoped session, .rain replay, Catalyst Brain memory, and proof artifactsisolation model
Sessionanonymous session for Northstar Freight Opsbounded
Tenanttenant_sample_freight_ops carried through protected actionsscoped
Originhttps://catalyst-q.strategic-innovations.ai/appactive
Proof Concierge

Recommended proof action.

Catalyst Brain tenant memory

Context first

Catalyst Brain tenant memory surfaces prior runs, accepted assumptions, rejected actions, and review history without exposing private ledger details.

Catalyst-Q proof action

Then verify

Catalyst-Q proof action runs the selected agent in shadow mode, compares against the baseline, and prepares the packet for approval.

No client-supplied tenant IDs

Safe boundary

No client-supplied tenant IDs. Tenant context is derived from the verified session and carried through protected actions.

Start with the highest-dollar room that has clean baseline data and one accountable approver.

Enterprise auth readiness

SSO, SCIM, roles, and audit.

Auth status
needs setup

SSO domain

Ready for Cloudflare Access, Auth0 Organizations, or WorkOS domain verification.

planned

SCIM group sync

Map IdP groups into tenant-scoped roles before paid pilots expand beyond one approval lane.

ready

Role mapping

Current session roles: pilot_admin, approval_owner.

ready

Audit export

Every protected run can attach actor, tenant, model route, .rain event, and proof packet links.

Decision Rooms

Each room is tenant-scoped, owner-led, and wired to a proof path instead of a generic dashboard.

All rooms
VP Operations

Freight RouteOps proof room

Late deliveries and capacity exceptions

Validate route CSV and build a paid-pilot proof packet.

R&D lead

Exact Chemistry review room

Wet-lab spend before evidence is defensible

Build active-space verification before partner diligence.

Security lead

AI Validation Layer room

Agent recommendations without scope, owner, or rollback

Convert one remediation claim into authorized evidence.

Approval lane

Operator ownerFinance reviewerSecurity or compliance reviewerExecutive sponsor

From expensive uncertainty to a board-ready proof packet.

What Catalyst-Q provides: vertical agents that combine Catalyst Brain, Catalyst-Q tooling, live evidence capture, and finance-grade proof packets for high-stakes decisions in chemistry, freight, flight ops, grid ops, and ATC simulation.

Who needs Catalyst-Q: operators who own expensive daily decisions, scientists who need a second opinion before wet-lab spend, and executives who need a measurable pilot before budget expands.

Why teams need it now: AI produces more options than teams can safely trust. Catalyst-Q gives every recommendation a baseline, a replay trail, a measurable upside, and a next action.

Your first week.

  1. Upload your baseline Bring CSV routes, active-space chemistry inputs, grid cases, flight scenarios, or simulator traces.
  2. Run the agent in shadow mode Compare a Catalyst-Q plan against the way the work is handled today while humans stay in charge.
  3. Review the proof packet See ROI math, assumptions, benchmark status, exceptions, and the decision trail in one readable artifact.
  4. Launch a paid pilot Scope a 4-6 week pilot with telemetry, success gates, and expansion pricing tied to verified value.

Freight & Field Route Optimization Agent

Last-mile, field service, 3PL, retail distribution, and healthcare delivery fleets

cloudflare-workers-ai

Operating Map

Every page now routes into one method: buyer proof, operator workflow, technical evidence, and platform trust.

Full Site Map

Buyer flow

Discover, scope, replay, shadow, rollout, and verify the contract.

View ROI proof

Operator flow

Plan scenarios, compare outcomes, approve actions, and review exceptions.

Open dashboards

Technical proof

Benchmarks, datasets, prompt contracts, and architecture stay visible.

Review evals

Cloudflare trust layer

Access, Browser Run evidence, Workers AI routing, Pipelines, and observability.

Check status
Start here: Freight RouteOps Proof Room

Freight CSV Intake

One route file. One proof packet. One approval decision. Upload orders and vehicles, validate time windows, capacity, and driver hours, then run the RouteOps agent with a proof-ready payload.

Freight CSV validation appears here.

Exact Chemistry Verification

Build an active-space proof packet for disputed catalysts, compare against approximate methods, and return a verify() digest before a customer report.

Verification Page
not runverification replay
  • Declared active space, basis, charge, spin, and geometry travel with every report.
  • Small-subsystem checks, approximate-method comparison, and digest verification make the packet easy to trust.
  • packet.verify() is the customer trust primitive for every promoted chemistry result.
Chemistry verification packet appears here.

Agent Launcher

Submit real work to the selected vertical agent route.

Ready

Agent Output

Agent Dashboard
Select a vertical and run an agent. Results will include selected model route, .rain event id, Catalyst-Q simulation metadata, and output payload.

Evidence Queue

0 items
Browser Run screenshots and run evidence appear here.