yacados

Optimization & control,
from research to real-time systems

We turn hard optimization and control problems into fast, reliable, real-world software — from problem formulation to embedded, real-time implementation.

In close collaboration with your R&D team, we develop tailored solutions for complex engineering challenges.

// about

Jonathan and Katrin build efficient solutions for real-world optimization and control problems, combining rigorous scientific computing with production-grade software engineering.

As core developers of acados, a widely-used open-source software for embedded optimization and optimal control, they bring state-of-the-art algorithms into production. They have collaborated on applications across robotics, automotive, aerospace, and renewable energy systems.

Our expertise covers powerful methods from optimization and control — from iterative learning control, nonlinear model predictive control, and reinforcement learning to differentiable optimization, robust control, and advanced numerical methods.

// services

  • Optimal control & nonlinear model predictive control formulating and solving control problems for complex real-world systems.
  • Embedded optimization fast, reliable solvers deployable on real-time and resource-constrained hardware.
  • Algorithm & software development from research prototype to production-ready, maintainable code.
  • Consulting & training on acados, numerical optimization, and control system design.

// team

Jonathan Frey

  • acados developer since 2019
  • Freelance consultant since 2024
  • B.Sc. & M.Sc. in mathematics
  • PhD with Prof. Moritz Diehl at University of Freiburg, on “Efficient algorithms and differentiable solutions for optimal control” (defense planned 2026)

Katrin Baumgärtner

  • acados developer since 2020
  • Freelance consultant since 2024
  • B.Sc. & M.Sc. in computer science
  • PhD candidate with Prof. Moritz Diehl at University of Freiburg

// contact

info@yacados.org