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People behind the intelligence.

Real human data. Extraordinary AI.

Providing data to train extraordinary AI. We collect, label, and review images, speech, text, and documents.

Our work at a glance

Data work shaped around your AI goals.

A focused set of services, delivered through a clear review process.

500GB+Data collected
1M+Data points annotated
40+Languages covered
99.5%Review accuracy

Data for AI training

Our services

From human-sourced data to precise labels, language, and model-ready examples.

Contributors capturing bus, street, and local market data

Data collection

Collect the voices, documents, images, and video your AI needs, with clear contributor guidance and quality checks from the start.

A person recording a smartphone response in a low-lit setting

Generative AI Services

Develop prompt and response examples with human insight, practical rubrics, and consistent checks for quality and usefulness.

Data review

How we provide
quality data

We collect, clean, analyse, and annotate data, then review the final dataset for consistency.

  1. Step 01

    Data collection

    Gather relevant source material using clear project requirements, contributor guidance, and agreed capture standards before any labels are added.

  2. Step 02

    Cleaning

    Remove duplicates, correct errors, and reorganize the raw data so every record is consistent, traceable, and ready for analysis.

  3. Step 03

    Analysing and annotating

    Review the material, add useful labels, and resolve unclear examples against the project guidelines and the decisions recorded during review.

  4. Step 04

    Handover cleaned dataset

    Deliver a consistent, checked dataset with documented decisions, ready for training, evaluation, or the next round of review.

Good questions

Frequently asked questions

Not finding what you need? Talk to us

We provide data collection, annotation, transcription, translation, document AI, generative AI support, and model evaluation. Share your use case and we can scope the right workflow.

We align on your taxonomy and acceptance criteria, calibrate with sample data, and review unclear examples so decisions stay consistent across a batch.

Yes. We can discuss your labeling guide, preferred tools, and delivery format during project scoping.

Our service pages cover image, video, audio, text, and document data. Tell us the language, domain, and data type you have in mind.

Send us your project goals, sample data, approximate volume, and preferred timeline. We’ll use those details to discuss the next steps.

Careers and vendor opportunities

Work with us

Use your language skills and experience to help prepare AI training data. Explore roles or join us as a vendor.

Have a data project?

Talk to our team

Tell us what data you need.
We’ll help you plan the next steps.

Let’s talk about your project