Automated trajectory generation with deterministic guarantees. We turn the 40-hour motion planning bottleneck into a 5-minute workflow.
We reject the uncertainty of stochastic planning and "black box" solvers. Hadeon uses Deterministic SQP to deliver the predictability industrial automation demands.
Deploy Dynamic Automation on Fixed-Bid Timelines
Your engineering talent is your most valuable asset. Hadeon is the force multiplier that allows your team to deploy complex, high-mix cells without the linear cost of manual programming.
Launch Market-Ready Robots Without the R&D Delay
You have built world-class mechanics. We provide the intelligent motion layer that proves your hardware's capability from Day 1, allowing you to focus on innovation.
Stop compromising between speed, safety, and predictability. Here is how our deterministic engine stacks up against the alternatives.
| Feature | Hadeon Robotics | Black-Box AI Planners | Standard ROS / MoveIt |
|---|---|---|---|
| Safety Logic | Deterministic (SQP) | Stochastic / Unpredictable | Sampling-based (OMPL) |
| Path Quality | Time-optimal & Smooth | Often erratic | Requires post-smoothing |
| Workflow | Scan-to-Plan (No Code) | Data-Heavy Training | Developer Focused |
| Certifiability | High (Explainable Math) | Low (Hard to Validate) | Variable |
We eliminate the critical setup bottleneck — automating trajectory generation and collision avoidance for static fixtures.
Unlock true adaptability. Enable real-time responsiveness that allows robots to seamlessly navigate around moving machinery and live process changes.
The future of fenceless operations. We are building predictive models that anticipate human movement, allowing for continuous safety and uninterrupted cycle times.
Robotics experts, optimization researchers, and industry veterans united by one goal: making motion planning a solved problem.
Nikos Doiron
CEO & Founder
Hadeon Robotics
Specializes in numerical optimization and real-time motion planning. Led the engineering work that delivered a 34% cycle time improvement on the Kinova Link6 — the kind of result that turns pilots into contracts. Believes the gap between robotics research and production is a solvable engineering problem.
Joshua Flight
CTO
Hadeon Robotics
Ph.D. candidate driving Hadeon's capabilities in complex mechanism control. Expert in the kinematic and dynamic modeling of redundant robotic systems, specializing in advanced redundancy resolution algorithms. Turns the intricate mathematics of multi-degree-of-freedom robots into smooth, reliable, and predictable physical performance.
Mario Dandurand
Head of AI & Growth
Hadeon Robotics
Building AI-driven motion prediction for dynamic environments where static path planning breaks down. Currently finishing an M.Sc. in Robotics — his research feeds directly into Hadeon's core algorithms. Brings hands-on business experience to drive Hadeon's commercial growth and partnerships.
André Gallant
Research Director
Dynamium Lab
Hadeon's research partner for the development of high-performance algorithms. André pushes the boundaries of what's computationally possible — turning theoretical advances into the engines that power Hadeon's motion planning capabilities.
Thomas Duquette
R&D Developer
Dynamium Lab
Ph.D. candidate and Hadeon research collaborator driving collision distance computation. Co-led the engineering work that delivered a 34% cycle time improvement on the Kinova Link6. Turns theoretically sound algorithms into systems that run fast under real constraints.