Apex Pick
Vision-guided picking arm for mixed SKUs. A foundation model for grasp plus a lightweight onboard policy cut cycle time 31% without a cloud round-trip.
- Manipulation
- Onboard AI
- Cell integration
AI & robotics studio · est. 2021
Machines that see,
decide,
and move with intent.
NeuronicsLab builds artificial intelligence for robots. We design perception, planning, and control so a system can work on a factory floor, a warehouse aisle, or an open road — not only in a notebook.
- Robots in production
- 48 fleets
- Onboard inference
- < 12 ms
- Labs & partners
- 11 cities
The lab
An AI lab that ships robots, not demos.
We started NeuronicsLab because most AI stops at a screen. Robotics is the harder problem: a model has to see through glare, plan around people, and act before the next cycle of the line.
Our team pairs ML researchers with roboticists and controls engineers. That mix lets us take a stack from simulation to a moving platform without handing the problem to three vendors.
- 01 Perception built for the robot’s sensors and the room it works in.
- 02 Planners that stay safe around people, racks, and moving machines.
- 03 Autonomy you can monitor, update, and take offline cleanly.
Selected work
Robots already in the field.
A sample of AI and robotics work across warehouses, last-mile, and industrial cells. Names of confidential partners are withheld.
Lumen Path
Autonomy stack for last-mile robots. Fused cameras, lidar, and a compact planner so the fleet keeps moving when streets are dark, wet, or crowded.
- Navigation
- Sensor fusion
- Fleet telemetry
Helix Cell
Collaborative inspection robot for high-speed lines. The model flags defects and the arm isolates the part, so the line keeps running while a person reviews the edge cases.
- Computer vision
- Human–robot
- Plant integration
Capabilities
What we actually build.
Robot perception
Vision, lidar, and multimodal stacks so a robot can find objects, people, and free space in messy real scenes.
Autonomy & planning
Navigation, motion planning, and task policies that run on the robot and fail safe when the world surprises them.
Manipulation
Grasp, place, and assembly skills for arms and mobile manipulators — trained in sim, finished on the cell.
Onboard AI
Models compressed to live on the robot. No waiting on the cloud for a decision that has to happen this frame.
Automation
Close the loop from sense to act.
We automate the work around the robot as well as the robot itself — lines, cells, and flows that have to run every shift.
Line automation
End-of-line, inspection, and changeover sequences that keep a cell moving when the mix changes mid-shift.
Process control
Vision and sensor loops tied into PLC and MES so a decision becomes a motion, a reject, or a hold — not a dashboard alert.
Warehouse flows
Goods-to-person, tote routing, and dock automation. The AI decides; the conveyors, AMRs, and arms carry it out.
Human in the loop
Operators stay in charge of the edge cases. The system escalates, waits, and resumes without stopping the whole line.
How we work
Four movements. No theatre.
-
01
Define the robot’s job
We start with the task, the floor, and the failure mode — not a model card.
-
02
Train, then leave the lab
Simulation first, then early runs on the real platform. Lab accuracy that dies on the floor is not a result.
-
03
Harden the autonomy
Latency budgets, recovery behaviors, and the boring work that keeps people safe around a moving machine.
-
04
Hand over the fleet
Your team leaves with the stack, the data contract, and a way to keep improving the robots.
Lab notes
From the bench.
Why event cameras finally matter for night robotics
A short field report from the Lumen Path deployments in monsoon lighting.
Teaching a picker to fail safe, not just succeed
How we train grasp policies that put the part down instead of forcing a bad hold.
Uncertainty is a feature on a moving robot
How we design operator UIs that show what the autonomy does not know.
Start a conversation
Tell us what the robot has to do.
We take on a small number of briefs each quarter — autonomy stacks, robot cells, and long-term AI partnerships.
hello@neuronicslab.com