Consulting¶
Free Proof of Concept¶
Many business challenges — from production scheduling and resource allocation to forecasting, routing, and optimization — can be solved using operations research, optimization, and data science.
If you're facing such a challenge, we'd be happy to discuss it with you.
If we believe your problem is a good fit, we'll develop a proof of concept over the course of a few weeks — completely free of charge. Our goal is simple: demonstrate, using your own problem and data, that a practical solution is possible before you commit to a larger project.
What you receive¶
- An initial discussion to understand your problem and objectives.
- A prototype or technical demonstration addressing your use case.
- A summary of our approach, assumptions, and results.
- Recommendations for turning the prototype into a production-ready solution.
There is no obligation to continue after the proof of concept.
We believe the best way to demonstrate our expertise is by solving a real business problem, not by giving a sales presentation.
Problem Formalization¶
A well-defined problem is the foundation of every successful solution.
In many organizations, the understanding of a business problem is distributed across teams, embedded in spreadsheets and procedures, and rarely documented in a structured form. As a result, different stakeholders often have different assumptions about what should actually be optimized.
We work with you to transform an informal business challenge into a precise mathematical or algorithmic specification. This structured representation allows us to identify the most appropriate optimization or data science techniques, leverage established methods, and avoid expensive trial-and-error development.
Formalizing a problem often reveals:
- hidden assumptions,
- conflicting objectives,
- missing constraints,
- opportunities to simplify the problem,
- and, occasionally, that a much simpler solution exists.
In our experience, understanding the problem is often a substantial part of solving it.
Real-Time Systems¶
Optimization does not end with producing a schedule or a plan. Many applications require algorithms that operate under strict timing constraints, continuously adapting to new information while interacting with physical systems.
We design optimization and decision-making algorithms for real-time applications, including robotics, industrial automation, and embedded systems. Whether the challenge is planning robot motions, allocating tasks to autonomous systems, or making scheduling decisions under changing conditions, our solutions are designed to operate reliably in production environments.
With more than 20 years of experience developing software for robots and real-time control systems, we understand the practical constraints that distinguish deployable solutions from research prototypes. We combine optimization, control, and software engineering to build systems that make better decisions while meeting demanding performance and reliability requirements.
Typical Problems We Help Solve¶
Our work spans optimization, operations research, data science, and real-time decision making. Examples include:
- Production scheduling and workforce planning,
- Vehicle routing and logistics optimization,
- Resource allocation,
- Capacity and production planning,
- Demand forecasting,
- Supply chain optimization,
- Timetabling,
- Inventory optimization,
- Robot task allocation and mission planning,
- Multi-agent coordination,
- Real-time decision support systems,
- Optimization embedded in industrial control software.
If your problem involves finding the best allocation, schedule, route, or decision under real-world constraints — whether offline or in real time — we'd be happy to discuss whether a free proof of concept makes sense.