RobTrack replaces months of welding and metal additive manufacturing trial-and-error with AI-optimized parameters for any robot, material, and machine.
Every new robot, material, geometry, and machine creates a new process space. Conventional parameter development burns expert time, machine hours, and material before the real production work can begin.
Heat input, travel speed, wire feed, layer height, shielding, cooling, geometry, material response, and many more variables all interact.
Each bad run consumes machine capacity, material, inspection effort, project schedule, and scarce welding expertise.
A setup proven on one machine, material, or cell rarely transfers cleanly. Change one essential variable beyond its approved range and the procedure must be requalified.
RobTrack combines process data, sensor data, materials knowledge, and physics-based simulation to converge on the parameter region most likely to produce stable, repeatable, high-quality results.
1setup = {2 robot: "industrial arm",3 process: "robotic welding",4 material: "steel alloy",5 geometry: "production part"6}RobTrack does not return a guess. It maps the process space and identifies the narrow window where quality, speed, stability, and repeatability converge.
RobTrack adapts to the robot, machine, CAD, simulation, and process tools already present in the cell.
Industrial arms, cobots, and mobile robotic cells.
Welding systems, DED, WAAM, LMD, and metal AM setups.
Steels, aluminium, high-performance alloys, and emerging compositions.
Welding, repair, deposition, qualification, and AM workflows.
RobTrack is backed by several EU-funded validation projects across robotic welding, metal additive manufacturing, simulation, process optimization, monitoring, and traceability.
Brand-agnostic process optimization platform integrating RobTrack, real-time monitoring, and human-centered AI.
Federated AI for collaborative robotic welding, real-time parameter optimization, and digital traceability.
Field-deployable Physical AI robotic welding for on-site crane-rail inspection, repair, and life extension.
HPC and physics-based AI simulation workflow using RobTrack process data.
AI-driven DED process control with monitoring, qualification, and certification workflows.
Physics-informed AI for AM build-condition optimization.
"Our project connects real telemetry and near-real-time parameter control around RobTrack."
Jayant Singh
Technology Manager - Robotics & AI, Mechatronics Innovation Lab
Deployed, user-validated project workflow
Partners & Collaborations
The first step is not a software rollout. It is a focused pilot conversation around your robot, material, machine, process, and current parameter-development bottleneck.
Book a pilotNo generic demo. We start with the setup you actually run.
We understand the process, equipment, material, and production goal.
We map the available data, constraints, sensors, and current parameter workflow.
We identify whether RobTrack can shorten the path to validated parameters.
You receive a clear recommendation, success criteria, timeline, and next step.
RobTrack is built by 3D-Components, a deep-tech team from Oslo combining materials science, robotic manufacturing, simulation, and AI software.
Amin S. Azar
Founder & CEO
Daniel Haas
AI Engineer & CTO
Virgilio Gomez
Lead Robotics Engineer
Tell us about your challenges and current bottleneck. Together, we will assess how RobTrack can deliver a faster path to validated welding or metal AM parameters.
Book a pilot