Solvers
One platform, a growing catalog of solvers
Start with our general-purpose optimization solver today, or see the kind of custom-tailored solvers we build for specific business problems — modeled as precise mathematical programs, not heuristics.
Finance & cloud cost teams
Google Cloud Committed Use Discount Optimization
Google Cloud bills compute at an on-demand rate, but committing to 1- or 3-year Committed Use Discounts (CUDs) cuts that cost substantially. The hard part is deciding how much to commit — and most tools answer it by sizing to your usage history and hedging the rest. Solvicus instead takes the demand you already know (contracts, migrations, a steady baseline) and optimizes commitments for it directly: over-commit and you waste capital on idle capacity; under-commit and you keep paying full on-demand rates.
Learn moreGeneral-purpose optimization
Linear & Integer Programming
Linear & Integer Programming is the foundation of optimization — and the engine underneath the CUD optimizer. It lets AI agents solve planning, allocation, selection, and scheduling problems by finding the best solution within a set of constraints.
Learn morePractical use cases
What custom solvers can look like
These are illustrative — not yet available off the shelf — examples of the kind of recurring optimization problem we build dedicated solvers for.
Organic farming operations
Crop Rotation Scheduling for Large-Scale Organic Farming
Modern organic farming operating at scale (20+ fields) faces a combinatorial explosion when planning multi-year crop rotations. Traditional heuristics and basic spreadsheets fail to account simultaneously for agronomic constraints, phytosanitary restrictions, and market dynamics over a multi-year planning horizon.
Learn moreHome energy & smart-grid systems
Vendor-Agnostic Home Energy Management Optimization (HEMS)
While proprietary home energy management systems exist, they operate within closed vendor ecosystems, utilizing basic, reactive heuristics (e.g., simple threshold-based switching). True economic and thermodynamic efficiency requires cross-vendor interoperability and predictive mathematical optimization.
Learn moreHealthcare & medical practices
Multi-Resource Shift & Scheduling Optimization
Managing medium-sized organizations such as large medical practices involves a highly constrained, multi-resource allocation problem. Staff rostering, room availability, and specialized medical equipment must be scheduled simultaneously. When done manually or via static scheduling tools, bottlenecks, underutilization, and compliance violations are inevitable.
Learn moreHave a recurring optimization problem in mind? We'll build a solver for it.