Frequently Asked Questions
kint helps teams make better decisions from their data. You upload your data, kint builds optimization models, and your team simulates outcomes and finds optimal solutions. Available as a standalone tool, API, or OEM component for software vendors.
Any problem where your team needs to find the best option among many. Route planning, production scheduling, resource allocation, pricing, workforce planning, inventory management. If your team currently uses Excel or gut feeling to decide, kint can probably help.
No. kint is built for operations teams, planners, and analysts. Your team uploads data and describes what they want to optimize. kint handles the mathematical modeling. That said, kint doesn't replace your team's expertise. It strengthens it.
Three options: use kint standalone through a web interface, connect it to your systems via API, or embed it directly into your software product as a white-label OEM component. API integration typically takes days, not months.
It means the solution is mathematically proven to be the best possible answer. Not 'pretty good.' Not 'close enough.' The best. kint reports this gap with every solution so your team knows exactly how close to perfect they are.
Yes. That's a core feature. Your team uploads historical data, and kint trains surrogate models that learn the patterns in your business. These models let you simulate scenarios and predict outcomes before committing to a decision.
Fair question. Our CEO holds a PhD in Machine Learning and is a professor for Software Systems. Our CTO has 20+ years of enterprise architecture experience and is a Microsoft MVP. We placed Top 4 at start2grow 2025. And we offer risk-free proof-of-concept runs: if kint can't improve your current approach, no cost.
Your data stays in European data centers. kint is fully GDPR compliant and designed for EU AI Act readiness. Every solution is transparent and explainable. We don't use your data to train models for other customers.
LLMs approximate. They can't guarantee that constraints are met or that solutions are truly optimal. kint uses mathematical solvers (Gurobi, OR-Tools, CPLEX) that prove optimality. LLMs help with understanding your problem description. The actual solving is done by math, not language models.
A 30-minute call where you describe your problem. Then a proof-of-concept with your data, typically ready in days. If it works, we discuss integration. If it doesn't, no cost. We're honest about what kint can and can't do.