Check a supported candidate or proof against the original model—even when another system produced the answer. Understand what passed, what failed and what remains unresolved.
Available products. A customer-specific workflow. CLI · MCP · Headless
BUILT FOR
Optimization teams, engineering-software vendors and integrators that need a second checking path before using a result.
THE CHALLENGE / THE RESPONSE
Start with what needs to change.
A useful implementation has a specific job. The scope is built around your original requirements, environment and acceptance criteria.
01
The answer arrived without enough evidence.
A successful solver run does not, by itself, explain whether the candidate satisfies the original requirements.
HOW SPINFORGE HELPS
SpinForge checks the supported candidate and objective against the agreed source model and returns a report with separate integrity, solution and mathematical-completion states.
02
You want assurance without replacing the engine.
Changing an established solving workflow can be a larger project than the checking task itself.
HOW SPINFORGE HELPS
Start with a read-only checking step. Keep the existing producer and qualify the format and evidence adapter that connects its output to the selected SpinForge checker.
03
Different outputs are hard to compare.
A changed model, objective convention or numerical assumption can make two apparently similar answers incomparable.
HOW SPINFORGE HELPS
Bind the evaluation to the original inputs and accepted arithmetic or tolerance rules. Compare candidates on that common basis and retain incomplete outcomes.
THE DELIVERY
Know what you are getting.
The final order identifies the selected products, integration work and operating responsibilities. Included components and work are not charged again.
01
Original-model checks
A defined checking workflow for the admitted model, candidate and evidence combination, with unsupported inputs identified before acceptance.
02
A readable decision report
Separate integrity, candidate and supported proof results, plus the objective and any limitations that affect interpretation.
03
Evidence you can retain
Model/revision identity and the selected product’s checking artifacts, with export and retention arrangements agreed for the deployment.
04
A repeatable integration
CLI, MCP or headless access for the selected product, with an optional adapter and written handover for your environment.
AN ILLUSTRATIVE WORKFLOW
An allocation result needs a second look.
Your current solver proposes an allocation. You want to check the original capacity restrictions and objective before a planner uses it. This is an illustrative workflow, not a customer case study.
Explanation only—not a live product run or a claimed customer deployment.
01 / 03
Bring the original question
Provide the supported original model, candidate and available evidence. Agree which properties must be checked and how much verification work is authorized.
QUALIFY THE FIT
Your requirements. An explicit scope.
Agree the supported models, execution environment and acceptance measures before committing to the delivery.
What you bring
Original model and candidate output
Producer format and version, where relevant
Required property and arithmetic/tolerance rules
Checking budget, artifact handling and retention needs
What we measure
Coverage of the agreed original-model checks
Rejection of deliberately invalid candidates
Time and cost per verification
Correct separation of checked, unproved and unresolved outcomes
PRODUCTS TO CONSIDER
Choose the relevant capability. Not every workflow needs every product.
Eligible software can use the existing monthly plans. A custom producer adapter, operated checking service, larger proof budget or private rollout is quoted separately. Basic result labels and required checks are not withheld as an upgrade.
Yes. The engagement can focus only on checking a supported output. An adapter may be needed, and third-party format compatibility is established before work is accepted.
Does a passed check prove the whole business decision is correct?+
Only the stated properties of the accepted model are checked. Your team must confirm that the model represents the real requirement and that the evidence is sufficient for its intended use.
Do you verify every kind of optimality proof?+
No. The admitted checker and proof class are explicit. Unsupported proofs and incomplete checks are reported, not promoted to a successful proof.
What does the current UNISOLVE release add?+
UNISOLVE latest supplied inventory keeps solution, optimality, infeasibility, unboundedness and original-source trust separate. Its configured SCIP/VIPR route applies to exact linear-MIP certificates, not ordinary numerical status.
RELATED WORK
Another way to move forward.
Use a capability directly or bring it into a wider workflow. The existing products and commercial agreements remain independently available.