The dataset nobody else has, built for you.
Models are only as good as the data. We collect audio, text, images and video, label them with native speakers and domain experts, generate synthetic data where real data is scarce, and build the evaluation sets you measure against.
Zingaro AI provides data services for AI: collection, transcription, annotation, dataset curation, synthetic data generation with human review, and evaluation set construction for language, speech, image and video models.
You get
- The dataset, documented and licensed to you
- Quality reports and agreement scores
- Pipelines and tooling
- An evaluation set for future models
Built with
- Annotation tooling
- Synthetic generation
- PII handling
- Dataset versioning
- Eval set design
Data, labelling and synthetic data, end to end.
Collection
Speech, text, images and video across the conditions you need, with consent and metadata, including field collection.
Annotation
Labels, entities, intents, boxes, masks and tracks, with inter-annotator agreement measured.
Transcription
Native speakers writing dialects the way they are spoken. Najdi and Gulf Arabic, Indian languages, code-switching.
Synthetic data
Model-generated examples for rare cases and privacy-sensitive domains, checked by people before use.
Data pipelines
Cleaning, deduplication, PII handling and versioning, so training runs are reproducible.
Evaluation sets
Held-out sets that reflect production, so the number you get is the number you will see.
From one painful job to a system in production.
Models and agents handle the volume. People handle the edges. You always know which did what.
- 01
Discover.
One or two weeks with your team. The jobs listed, sized and ranked. A number on the first one.
- 02
Build the pilot.
Fixed scope, fixed fee, 4 to 6 weeks. Real output on your real data, measured against the number.
- 03
Ship it.
Into production, inside your boundary if the rules require, with evals gating every release.
- 04
Run it, or hand it over.
We operate it with people on the queue and a weekly report, or your team takes it with the runbooks.
Your data does not have to leave the building.
On your servers
Air-gapped where required.
We install on machines you own, inside your network. Where the rules demand it, the system runs with no outbound connection and updates are carried in by hand. Your team keeps the keys.
Data stays inside your network
Your private cloud
We deploy into your account.
We deploy into your own cloud account, in your region, under your access controls. The data stays in your account. We get the access you grant, and nothing more.
Data stays inside your account
Ours
Managed, fastest to start.
We run it on infrastructure we operate. The right choice when the data is allowed to leave and you want the pilot running this month.
Managed by us, on our terms
In banking, insurance and healthcare, the rules decide where the data sits. We built for that first.
How each option worksWhat comes back, and how we measure it.
Deliverables
- The dataset, documented and licensed to you
- Quality reports and agreement scores
- Pipelines and tooling
- An evaluation set for future models
Measured by
- Items collected or labelled
- Label agreement
- Coverage of the conditions you need
- Rejection rate at review
Real figures come from your pilot. We do not publish invented ones.
What people ask about data.
Who owns the data?
You do. Collection is done with consent, and the dataset is licensed to you.
Is synthetic data safe to train on?
When it is checked. We generate it, people review it, and we measure the model on real held-out data, never on synthetic.
Can labelling happen inside our network?
Yes. Tooling can run on your infrastructure for sensitive data.
Bring us the data job you keep postponing.
Twenty minutes is enough to say whether we can take it.
A pilot starts within 5 working days of agreed scope · Nothing upfront · No seat licences