OLES. Optimization for better design and operations.
Our flagship general-purpose solver. OLES solves nonlinear optimization problems in engineering and operations, across industries. Your team can integrate it directly, or rely on OptimAI to build and maintain the model that uses it.
One solver, different problems
The model represents your problem. OLES searches for a solution within its constraints.
Across industries
The problem defines the model: equipment design, process settings or infrastructure operations.
Nonlinear relationships
Account for how costs, performance and technical limits change as your decisions change.
Use it at the layer you need
Integrate OLES through an API or SDK, start from an OptimAI packaged model, or let us implement the complete production workflow.
One example
Energy dispatch when every decision interacts
This example shows OLES coordinating storage, flexible demand and energy purchasing under real tariffs and operating constraints. The same engine architecture can support broader physical and operational models.
The engine charges storage when energy is abundant and discharges into the expensive block while respecting the operating limits.
Illustrative dispatch example. OLES is the underlying optimization engine, not a battery-only product.
Energy examples
One application area, not the solver's limit
These examples illustrate energy decisions that can be modeled for OLES. Its scope extends beyond this sector.
Storage dispatch
Schedule charge and discharge against prices, degradation, technical limits and the needs of the operation.
Peak and capacity management
Coordinate flexible assets and loads to reduce demand peaks without violating operational requirements.
Flexible-load scheduling
Move flexible processes when it creates value, while preserving production and service commitments.
On-site generation
Coordinate consumption, storage, export and generation with the rest of the operation.
Microgrids and critical sites
Coordinate generation, backup, storage and controllable demand under technical and reliability constraints.
Energy procurement and markets
Connect buying, dispatch and flexibility decisions to forecasts, market signals and the operation's real constraints.
Engine, packaged model, or complete deployment
Use OLES through API/SDK interfaces, configure it through an OptimAI model, or have us integrate the complete decision workflow into your existing systems.
- Connect engineering data, historical records or operational systems
- API, SDK and MCP interfaces for software teams and AI workflows
- Start offline or in shadow mode before automating any action
- Traceable results: objectives, constraints and assumptions remain inspectable
FAQ
Frequently asked questions
What engineering and operations teams ask before using OLES.
What do you need to optimize?
Show us the decision, the constraints and how you solve it today. We will tell you whether OLES is the right layer.