Skilled contributors
Trained teams follow clear guidelines and are checked against gold-standard answers. Experienced reviewers back them up.
TrainsetData plans, captures, labels and checks datasets for teams whose models have to hold up in the real world, from hospital wards and factory floors to everyday speech in Indian languages.
A model can only learn what its data shows it. We put real settings together with people who understand the task, so every sample comes with its context as well as its label.
Trained teams follow clear guidelines and are checked against gold-standard answers. Experienced reviewers back them up.
We capture data where it actually happens: homes, clinics, studios, streets, shops and workshops.
Doctors, engineers, linguists and analysts handle the edge cases that generalist annotators would get wrong.
You share the goal. Partial specs are fine.
The right people and places, with consent.
Guidelines tuned to your task.
Layered review and quality checks.
Clean, documented, in your format.
Each dataset is shaped around a domain. Choose one area or combine several. We'll design the collection and labelling around what your model needs to learn.
First-person video, manipulation demos and sensor captures from real spaces. They show robots and embodied agents how the physical world behaves.
Consent-first clinical data, de-identified records and clinician-reviewed reasoning for healthcare models that have to be right.
Natural and scripted speech across Indian languages, dialects and accents, recorded in studios and in the field, with careful transcripts.
Handwriting, forms, receipts, charts, tables and scanned pages, labelled for OCR and visual document understanding.
Programming tasks, computer-use trajectories and CAD workflows for agents that work inside browsers and desktop apps.
Step-by-step STEM solutions, rubric-based evaluations and preference data, with specialists in finance and law.
We draw on many resources across India, including people, infrastructure and environments. That lets us match the right contributors and settings to your dataset, whoever and wherever your users are.
Contributors from many regions, languages, age groups and professions, so your data reflects the people who will use your model.
Recording studios, capture rigs and secure workstations, set up for repeatable, high-quality collection.
Urban and rural, indoor and outdoor: homes, clinics, campuses and workplaces that look like the real world.
Informed consent, de-identification and controlled access are built into every project from the first day.
Tell us what your model needs to learn. A rough outline is enough to get started. We'll help shape the rest.