The missing data layer for physical AI
Real-world edge cases that simulation can't generate. We capture deployment-specific data for embodied AI and robotics — closing the sim-to-real gap.
Protocol → capture → QC → delivery
From protocol design to field execution, we deliver datasets with provenance — ready for training and evaluation.
target:
task: "robot grasping"
conditions:
- low_light
- clutter
- reflective_surfaces
capture:
sensors: ["rgb", "depth"]
metadata: ["pose", "location", "timestamp"]
qc:
pii_removal: true
provenance: trueEmbodied AI & robotics
Data for perception, manipulation, and scene understanding in real environments.
Compliance built-in
PII removal, consent tracking, and audit-ready metadata where required.
How it works
A protocol-driven pipeline from your deployment to measurable model improvements.
End-to-end in 4 steps
- 01
Share your model or task
We align on deployment conditions, failure modes, and what “better” means for your model.
- 02
Design a capture protocol
Targeted protocol: what to collect, where, how, and which metadata you’ll need for training + eval.
- 03
Collect real-world data
Vetted field teams execute the protocol. We validate, clean, and standardize with provenance.
- 04
Evaluate and improve
Use the dataset to fine-tune and evaluate—closing the sim-to-real gap on the edge cases that matter.
We focus on
Embodied AI & robotics — perception, manipulation, and scene understanding in real environments.
Outputs you receive
- Capture protocol + training guide
- Dataset with metadata + provenance
- QC report + acceptance criteria
Compliance-ready
PII removal, consent tracking, and region-aware collection where required.
Why work with us
You get a repeatable pipeline for real-world edge cases—without building a capture org.
Built for model outcomes
Protocols are designed around failure modes: lighting, clutter, sensor noise, environment variation—so capture directly maps to improvements.
Targeted capture
No generic datasets—only what moves your eval curves.
Provenance
Audit-ready metadata and lineage where required.
QC systems
Acceptance criteria, spot checks, and re-capture loops.
Enterprise-ready
Compliance controls and region-aware execution.
Faster than building in-house
Stand up capture ops and QC in days—not quarters.
Add your existing evaluation harness or we can deliver a scoped acceptance spec.
Designed for edge cases
Capture the rare conditions simulation can’t generate reliably.
Request a quote
Tell us about your model, deployment environment, or performance gap. We’ll respond with a scoped proposal.
What we’ll need
Secure intake- Model/task + deployment context
- Failure cases you care about
- Approximate volume + timeline
- Any compliance constraints
Prefer email? founder@comoxai.com
Field operations partners
We work with vetted capture specialists and field teams who execute protocols in real environments—reliable execution, quality standards, and timely payment.
Clear protocols
Step-by-step instructions and examples—capture the right edge cases.
Quality standards
Checks for framing, lighting, motion blur, and metadata completeness.
Reliable payment
Structured task payouts and prompt resolution for re-captures.
Privacy first
Consent + PII handling requirements when a task demands it.
About COMOX AI
AI models often fail in real environments because training data doesn’t match deployment conditions—lighting, clutter, sensor noise, environment variation. Comox is real-world model-tuning infrastructure: we design capture protocols, collect deployment-specific data through our network, and deliver it so you can evaluate and improve model performance. We focus on embodied AI and robotics, where the sim-to-real gap is hardest. Our team brings data pipelines, quality systems, and compliance so enterprises and research labs can close that gap without building it all in-house.
What we are
Real-world model-tuning infrastructure: protocol design, field operations, QC, and delivery.
What we deliver
Deployment-specific datasets with metadata + provenance—ready for training and evaluation.
Get in touch