Robotics and physical AI
data your robots can learn from
Deepen AI's trained teams collect, curate and check the data your robots and vehicles learn from, review demonstrations and failures, and judge decisions in real scenes.
A plan within 2 working days. No sales call.Annotation or calibration? See Enterprise
Services
Data collection
People run recording sessions and capture the scenarios you need.
Data curation
Gaps, duplicates and edge cases found, so you train on the data worth using.
Data validation
Datasets and labels checked before training, with every problem listed.
Robot demonstration review
Demonstrations sorted into useful and flawed, with the flaw noted.
Robot failure analysis
Why a robot failed, explained with the evidence.
Physical AI evaluation
Robot and vehicle decisions reviewed by trained people.
How it works
Your logs and recordings go in. Trained people review each one against your rules. You keep the data worth training on, with the reason for every call.
In your tools
People work in your data viewer, labeling tool or dashboards, on accounts you control.
In Deepen AI's tools
Curate and Validate for camera, LiDAR and multi-sensor data, with results in your format.
Through shared storage
Your logs arrive in a bucket, and reviewed data and reports are written back.
How we keep quality high
Every reviewer's accuracy is measured
Items you've already answered are hidden in the real work, so we know how accurate each person is.
Nobody guesses on unclear cases
The team lead decides, or asks you. Your answer joins the guidelines.
You see the results every week
A weekly report shows work done, QA results and what's improving.
Pricing
Robotics work is quoted in your plan, because the rate depends on your data, your setup and the expertise the work needs. Your plan shows the rate, the hours and the total price before you pay anything.
Tell us the task. What your AI produces, and your rules.
Get a plan and a price within 2 working days.
Run a two-week pilot on real items, with two weekly reports. Then decide.
Questions
Do you also annotate and calibrate sensor data?
Yes, as enterprise programs on Deepen AI's own tools: image, video and multi-sensor annotation, and sensor calibration with patented targetless methods. The enterprise team scopes each one.
What data can the team work with?
Robot demonstrations, teleoperation logs, camera and LiDAR recordings, telemetry and simulation runs, in the viewers your team already uses or in Deepen AI's tools.
Why Deepen AI for robotics data?
Deepen AI has worked with automotive and robotics teams on sensor data since 2017, is one of the authors of the ASAM OpenLABEL standard, and built its own tools for multi-sensor data.
How do you keep reviews consistent?
Everyone works from the same written rules, known items are mixed into the work, and a sample of decisions is re-checked. The weekly report shows the results.
How is our data protected?
We work under NDA with the access you set. Deepen AI holds SOC 2 Type II, ISO 27001, ISO 9001 and TISAX, the assessment automotive companies ask for.