Home / Data services / Long-tail and edge-case capture
Targeted collection for failure modes identified from your production model logs.
Long-tail capture is the targeted collection of demonstration data for the specific failure modes your production model struggles with — transparent objects, wet surfaces, occluded reaches, deformable materials, and other scenarios that rarely appear in general-purpose datasets.
Staging rare scenarios in-house is expensive and slow. We maintain prop libraries, environment rigs, and trained operators who specialize in the hard cases.
Why outsource edge-case capture?
Your lab is optimized for the common case. We maintain dedicated environments for the uncommon ones — wet benches, transparent object libraries, clutter generators.
100+ edge cases captured per week.
7 days from log analysis to training data.
4x improvement on targeted failures.
Where we collect
41+ delivery centers across 12 countries. Every program runs from a Roborax hub near your target time zone.
Asia Pacific
India · Philippines
Americas
USA · Canada · Colombia · Jamaica · El Salvador · Belize
EMEA
UK · Albania · Kosovo · Morocco
Four outputs that turn long-tail from a discovery phase into an iteration loop.
Classified failure modes from your production logs, ranked by frequency and severity.
Capture plans designed to hit each failure class. Spec-locked before collection.
Scenes designed to break your current policy. Useful for safety and robustness.
Post-injection tracking. Each captured failure is monitored for recurrence.
The seven-day loop that turns production failures into resolved cases.
Analyze your production logs. Cluster failures. Identify patterns and frequencies.
Build a collection plan for each failure class. Acceptance criteria defined.
Targeted teleop or sensor capture against the spec. Daily QA review.
Add to your training set. Track post-deployment recurrence rate.
Log analyzers and capture rigs working as one loop.
Production logs
Reusable cases
Targeted teleop
Failure binning
Post-injection
Your pipeline
FAQ
From the blog
Humanoid Robot Training Data: How Much Do You Actually Need?When long-tail and edge-case data becomes the bottleneck.
From the blog
Warehouse Picking Robots: What Your Training Data Strategy Is MissingDeformable items and edge cases in warehouse robotics.
Send us your production logs. We classify, scope a capture plan, and start the cycle.
FROM THE FIELD
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Seven services. One synchronized pipeline.
VR and leader-follower robot control logging.
In-person task demos for imitation learning.
RGB-D, LiDAR, force, and tactile streams.
Bounding boxes, segmentation, action labels.
Domain-randomized scenes and sim transfers.
Held-out test sets and success-rate scoring.
