The problem needs the right operation
A pseudo-Boolean model in the OPB format of the Pseudo-Boolean Competition.
Solve pseudo-Boolean satisfaction and optimization problems with checked proofs.
Solve pseudo-Boolean satisfaction and optimization problems with checked proofs.
THE PRODUCT, IN PRACTICE
Solve pseudo-Boolean satisfaction and optimization problems with checked proofs. It is a newer Garmo Solvers module from the October 2026 benchmark campaign, outside the 1.0.2 release. Results are checked against the original input; the measured result below states where it is ahead and where it is not.
A pseudo-Boolean model in the OPB format of the Pseudo-Boolean Competition.
Solve pseudo-Boolean satisfaction and optimization problems with checked proofs.
An answer detached from its original constraints or input is difficult to rely on.
The suite rechecks the answer against the original input and identifies the applicable result state.
A capability or benchmark result is not a universal promise for a different workload.
Evaluate the selected input, resource budget, complete cost and required certificate against your baseline.
Solve pseudo-Boolean satisfaction and optimization problems with checked proofs.
A satisfying or best-found assignment, or an infeasibility or optimality result with a VeriPB proof.
Python API with headless execution today. garmo CLI and garmo-mcp setup is scoped on request; this publication does not invent executable commands or MCP tool names.
Infeasibility and optimality claims carry a proof that the VeriPB checker accepts.
On a 90-instance certified benchmark at 60 s: 20 solved, against 28 for RoundingSat and 8 for NuPBO, with every infeasibility claim proof-checked.
Source: Garmo Labs benchmark campaign, October 2026. Results apply to the stated inputs, hardware and conditions; they are not universal competitor rankings.
See the solver map and other measured resultsA customer has a supported model and wants an accepted result without adopting every other module.
Illustrative customer use—not a new benchmark or completed customer deployment.Provide the original input and define the useful outcome.
Run the selected module under its supported resource and interface scope.
Review the returned answer, original-input checks and completion state.
RoundingSat solves more instances on the reported benchmark.
$30,000 per year for the standalone module licence, for a named scope. The platform plans cover development use across the catalog; production rights for this module are part of the order.
Python API with headless execution today. garmo CLI and garmo-mcp setup is scoped on request; this publication does not invent executable commands or MCP tool names.
Bring a task, an accepted outcome and the environment in which the product needs to work.
Select the capability you need directly or include its compatible role in a qualified platform workflow. Production scope identifies release, environment, capacity and support; a product count is not an entitlement.
Explore monthly plans See the system connectionsUse the software directly or ask us to scope the implementation.
One capability. A connected workflow.
A team to put it into practice.