Project pilot
A clear brief, a representative sample, and agreed acceptance criteria. An intentional first step before a larger commitment.
Scope a pilotForm / studyGenerative sculpture
Human expertise.
For intelligent
systems.
Data collection, annotation, evaluation, and human assistance for visual AI and robotics.
Start with a pilot. Build toward a recurring program.
The human side
of intelligent systems.
From the first dataset to the next deployment. Bring us the task. We’ll build the workflow around it.
CollectPipeline
Mobile CaptureField app
Drone FootageAerial
Partner UploadBulk API
Field DevicesFixed rig
The data your next model needs.
Purpose-built datasets, captured around your task and the conditions that matter.
- A reviewed sample before production
- Collected assets with agreed metadata
- Collection protocol and acceptance criteria
AnnotatePipeline
Bounding BoxObject detect
SegmentationPixel mask
ClassificationScene tags
Review Queue2nd pass
Make every detail usable.
Structured labels and human review that keep the details connected to their source.
- A calibrated annotation sample
- Labels in your agreed schema
- Review notes and unresolved cases
EvaluatePipeline
RubricAgreed checks
ConfidenceScore model
DisagreementsRouted cases
Audit TrailEvidence log
Know what your model misses.
Human judgments, grounded evidence, and failure analysis for training and evaluation.
- An agreed rubric and calibration sample
- Structured judgments and supporting evidence
- Disagreements and failure categories
AssistPipeline
Model ConfidenceBelow threshold
Operator QueueClaimed tasks
Override LogHuman decision
Escalation RulesRouting policy
Human judgment. In the loop.
Human assistance for supported robot workflows, with every intervention connected to its context.
- Platform and task feasibility review
- An agreed operating procedure and coverage plan
- Operator preparation for the supported workflow
Pilot engagements · Scope and coverage agreed per platform.
Making the benchmark
answer to the evidence.
Project Vista
A video-understanding benchmark, reviewed against the footage. Independent judgments, documented corrections, and a record of every question at delivery.
- 1,549
- Questions in the benchmark
- 388
- Questions repaired or removed
Delivered · Figures as of August 2026. Published figures & sources
In development · Comox research
A new class of
computer-vision QA.
We’re exploring autonomous agents for computer-vision quality assurance. Bigfoot is an early research project, with more to share as it takes shape.
Meet BigfootA focused start.
Room to grow.
Prove the workflow with a scoped pilot. Reserve monthly capacity when the work becomes recurring.
What should your
AI do next?
Tell us the task, the data, or the gap. We’ll help define a useful first project.
Build your project brief founder@comoxai.com