Company
We keep machines learning after they ship.
One engine, evolving
2016–2024
General-purpose engine
One engine for models that adapt in the field.
2024–2025
Real-time hardware
Tested with customers, under hard real-time constraints.
2026
Physical AI
Where changing conditions demand immediate adaptation.
Why we exist.
Robots leave the lab trained for the conditions someone thought of. The field has more. Today the fix is people: collect data, retrain, redeploy, repeat.
We think the machine should do that work itself, on the device, with an honest account of what it does not know. LazyInfer is how we get there.
Team
Albert Podusenko
Chief Executive Officer
Background in control theory, autonomous vehicles, and probabilistic inference.
İsmail Şenöz
Chief Scientist
Developed a unifying mathematical framework for hybrid Bayesian inference, making complex models computationally practical.
Bart van Erp
Chief Technology Officer
Leads the full system architecture and ensures the solution runs on hardware.
Alex Sidorov
VP of GTM Strategy
Leads commercial strategy and growth.
Wouter Nuijten
Senior Machine Learning Engineer
Advances machine reasoning and planning through Active Inference. Winner of best technical paper and best presentation awards.
Advisors
Bert de Vries
Co-founder and advisor
Full Professor at Eindhoven University of Technology. Scientific father of RxInfer and reactive message passing.
Kevin Murphy
Research advisor
Author of ‘Machine Learning: A Probabilistic Perspective’ and ‘Probabilistic Machine Learning’.
Supported by
Want to build this with us?
We hire engineers who like both the mathematics and the hardware. Write to us with what you have built.