Datasets built, not just labelled.
Training data starts before annotation. We source, capture and structure raw data: text, speech, images and video, collected to your specification and delivered with the same per-batch QA as our annotation work.
/what-we-collect
Whatever your model is missing
Curated corpora, prompt and instruction sets, domain documents sourced to specification.
text collection →Consented speech recordings and audio capture across speakers, accents and environments.
speech collection →Photo and video capture to shot lists, with device, scene and subject diversity.
visual collection →Structured research from public and licensed sources, every item source-linked.
web research →Custom collection protocols and tooling are normal for us: describe the dataset.
/text
Text & Documents
Language models are only as broad as their corpus. Collection fills the gaps: underrepresented domains, languages, formats and styles.
We build text datasets to your specification: sourcing documents from public and licensed collections, and writing new material with trained contributors where sourcing cannot reach.
- Curated corpora from public and licensed sources
- Prompt and instruction datasets written to guideline
- Domain document sets for retrieval and fine-tuning
- Multilingual text sourced from native contributors
/speech-audio
Speech & Audio
Speech systems fail on the voices they never heard. Collection is how accents, languages and acoustic conditions get into the training set.
We record scripted and conversational speech with consented contributors, and capture environmental audio to protocol: speaker demographics, devices and settings matched to your specification.
- Scripted and conversational speech recordings
- Speaker, accent and language coverage to spec
- Environmental and event audio capture
- Paired transcripts through our annotation service
/image-video
Images & Video
Vision models need the long tail: the odd angles, poor light and rare cases that public datasets never cover.
We capture photos and video to shot lists: staged scenarios and in-situ capture, across the devices, scenes and subjects your model will actually meet, with consent and release documentation for every identifiable subject.
- Photo capture to shot lists and scenario briefs
- Video scenario capture, staged and in-situ
- Device, lighting and scene diversity to spec
- Consent and release documentation included
/web-research
Web Research
Some datasets are not captured but compiled: entities, facts and figures gathered from across the open web and licensed sources.
We run structured web research to a written protocol: trained researchers gather, verify and deduplicate items, and every delivered record links back to its source.
- Entity and company datasets built to schema
- Market and industry data gathered to protocol
- Verification and deduplication passes on every batch
- Source link on every delivered record
/process
Pilot first. Scale on evidence.
We map your target dataset, sources, consent and licence requirements in a working session.
A small paid batch with full provenance reporting. Judge us on output, not promises.
We staff up with Academy-certified people and hold the quality bar per batch.
Coverage, acceptance and source documentation, reported whenever you want the numbers.
Every dataset ships with its paperwork: where each item came from, under what consent or licence, and who collected it.
// tell us what your model is missing