Unstructured input
Bins arrive deformed. Items stacked, leaning, occluded. Calibration jigs do not survive a returns floor.
Teach · Deploy · Improve
Three phases. Same team. Three to six months from kickoff to canary on the first task.
- 01 Teach
Operators demonstrate.
Trained operators teleop the target task across the real SKU mix. Wrist and scene cameras record every demonstration.
- Capture
- wrist + scene
- 02 Deploy
Fine-tune & ship.
A foundation model, fine-tuned on the captured demos and deployed to your controller. Canary first, then full rollout.
- Latency
- < 50 ms
- 03 Improve
RL on production data.
Production rollouts are scored on real outcomes. Weekly refinements push success rate up the curve.
- Cadence
- weekly
What foundation-model robots can do today
- C-01 Pick-and-place
- C-02 Sortation
- C-03 Light kitting & packing
- C-04 Bimanual manipulation
- C-05 In-context SKU adapt
- C-06 Mobile manipulation
Mixed bins, multi-object grasping across the real SKU mix — no jigs, no fixed poses.
Multi-objectWhy this ships today
W-01
Whole lifecycle, one team.
Teleop, fine-tune, deploy, RL. Same engineers from kickoff to canary. No vendor relay.
W-02
The model stays yours.
Fine-tuned weights and your dataset, on your hardware. No server-side lock-in, no per-run fees.
W-03
Forward-deployed in Europe.
Copenhagen and Stockholm based. We come to your line: Munich, Lyon, Lisbon. Real factory work.
- 01 Whole lifecycle, one team.
- 02 The model stays yours.
- 03 Forward-deployed in Europe.
Call first. A week on your line
when it fits
Many teams come with questions before they're ready to put us on the floor. The call is how we figure out whether the audit is the right next step.
- Day 1
Site visit, walkthrough.
Our engineers walk your line. Arms, grippers, WMS, throughput.
- Day 2–3
Task scoping, feasibility.
Which flows are foundation-model-ready, which need waiting, which are better classical.
- Day 4
Demo capture (optional).
20–40 demos on one candidate task. Real data in the report.
- Day 5
Written report, signed off.
Scoped pilot proposal: target flow, integration, capex, success criteria.
We chose the hard problem
In 2025, Qualia was founded on an unwavering belief: training robotic foundation models should be accessible to anyone with an idea and the drive to make it work.
What began as a bold dream is now bridging the gap between foundation-model labs and factories, proving that Physical AI can be scalable and efficient.
Next
Initiate the audit
One week, on your line. The report is yours.