Teach goals.
Not waypoints.
A deterministic motion engine that plans collision-free, near-time-optimal trajectories for any manipulator — from a goal, not a manual program.
per goal
to avoid obstacles
The Engine
Four guarantees,
not four features
Every guarantee here is a property of the math, provable before the robot moves.
Goal-Based Deployment
Define the task. The engine generates a collision-free performant motion. No manual waypoints.
Certifiable Safety
Clearance, kinematics, dynamics, TCP speed and your process-specific constraints are all hard constraints in the optimization — an auditable proof, not a learned behaviour.
Real-Time Near-Optimal Motion
Smooth trajectories at the robot's limits, execution-ready on the first pass.
Vendor Freedom
URDF in, motion out. The same engine moves from Kinova to UR — new arms onboarded on request.
Differentiators
What the engine gets right
Deterministic, auditable, no-code — the properties that matter once a robot is running in your cell.
Deterministic, Not Stochastic
Bit-identical output for the same input, every time — no seed-dependent variance.
Near-Time-Optimal, Execution-Ready
Smooth, high-quality paths straight out of the solver.
No-Code Setup
Import a model — no manual programming, no training data.
Explainable Math
Every trajectory is auditable and certifiable, not a black box.
Solutions
Two ways in
Fixed-Bid Timelines, Dynamic Cells
Deploy high-mix cells at a flat cost per cell.
- →URDF / CAD / STEP ingest builds the cell model
- →Layout changes absorbed on the fly
- →One robot model, onboarded once — reused on every future deployment
A Motion Layer from Day One
You built the mechanics. We prove what they can do — from day one.
- →Show full reach and agility on day one
- →Ship with a motion stack that rivals the incumbents
- →Near-time-optimal trajectories as a spec-sheet number
Roadmap
From static cells to shared floors
Static Scene Generation
Automated trajectory generation and collision avoidance for static scenes, with scene, task, and robot reconfigurable on the fly. Dynamic obstacles are next.
Dynamic Replanning
Real-time response to moving machinery and live process change.
Predictive Coexistence
Anticipating human movement for fenceless cells with uninterrupted cycles.
Bring us a cell.
We'll plan it live.
Send us a cell layout. We'll walk the trajectory through with you in a live simulation session — collision-free motion and the cycle-time delta included.