kint
- IT und Kommunikation
- Seed Stage
- SaaS
- B2B
- 2026
-
1-10 Mitarbeiter
- Existiert
- Konstanz, DE
- Login required
- kint UG
Über kint
kint was founded in Germany with research roots in Konstanz. We believe every team with data deserves better decisions. Companies today have more data than ever, but critical decisions still get made in spreadsheets, on intuition, or "the way we've always done it." kint closes that gap: our optimization engine turns a company's own data into provably optimal decisions, without replacing the people who make the calls. Your planner still plans, your dispatcher still dispatches, they just do it with better options. Long term, we want kint to be the decision layer under every operational software product, the infrastructure that makes mathematical optimization as accessible as a database call.
Über das Produkt
kint is a decision intelligence engine, delivered via API and OEM, that combines LLMs, machine learning, and operations research to solve complex operational decisions in asset-heavy industries. Unlike general AI agents that decide faster but not necessarily better, kint delivers provably optimal solutions with an optimality gap certificate on every run, and builds its models straight from plain-language descriptions plus your data, no manual formulation required.
Four products built on the same engine: kint manifest (port and logistics operations, e.g. berth allocation for 3 vessels in under 3 hours with zero optimality gap), kint horizon (ERP and planning, cut planner override rates from 34% to 9%), kint merit (dispatch and bidding for distributed energy resources across markets and timeframes), and kint takt (production scheduling under real machine-capacity constraints).
Every decision comes with assumptions, sensitivity analysis, and a defensible audit trail, built for EU AI Act compliance, GDPR, and Made in Germany hosting.
Über das Team
Bist du Teil dieses Teams?kint is led by three co-founders who cover the full stack the product needs. Pascal Laube (CEO) holds a PhD in Machine Learning and is a professor in software systems, driving strategy and product with deep optimization expertise. Pedro Castelo Branco Lourenço (CTO) brings 20+ years of enterprise software architecture experience and former Microsoft MVP status, owning technology and infrastructure. Jozef Mikyta (Lead AI Engineer) leads AI development and model training, bridging classical optimization methods with modern AI capabilities.
The team combines deep operations-research and ML research (the academic and mathematical rigor the "provably optimal" claim requires) with the enterprise architecture experience needed to integrate into asset-heavy industries' existing systems, and the AI engineering to make LLM-steered optimization actually usable.
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