Custom capture
Field, studio and in-situ collection to a written specification.
Sourced, consented, fit for purpose
Data Collection
Custom capture and sourcing when the dataset you need does not exist yet.
Collecting What the Model Is Missing
Most training programmes stall on a gap nobody planned for: a demographic, a condition, a device, a language. We design and run collection to close that specific gap, with consent and provenance recorded from the first file.
What Is Included
Crowd sourcing
Distributed collection with quality gates at submission.
Device and sensor capture
Camera, LiDAR, audio and IoT collection to your hardware profile.
Demographic coverage
Sampling planned against the population the model will serve.
Multilingual audio and text
Speech and text collection across languages and accents.
Licensed sourcing
Existing datasets identified and licensed where that is faster.
How We Work
- Specification first Conditions, quantities and acceptance criteria agreed before capture begins.
- Consent recorded Every contributor's permission is captured and retained with the data.
- Quality gates at intake Unusable files are rejected at submission, not discovered at training.
- Provenance kept Where each file came from is part of the delivery.
The Controls Behind It
- Coverage reporting Delivery includes what was collected against what was specified.
- Duplicate detection Near-duplicates are found and removed before they inflate your set.
- Metadata integrity Device, timestamp and condition metadata preserved.
- Ethical review Collection involving people is reviewed before it starts.
Ready When You Are
Tell us what you are building and we will come back with a plan, a sample and a price.