Illustrative. Drag the ring to spin it, or select an item to label it yourself.
Training data pre-labelled by models, checked by experts
datanoter is an annotation service for AI teams. Open-weights models make the first pass on your text, images and sensor data. Subject-matter experts then check and correct it.
Pre-launch. Pre-labelling and security controls run today. Expert review starts with the first pilots.
On this site
- How it worksFour steps from raw data to a checked dataset.
- ServicesExpert review, RLHF and alignment, and sensor fusion.
- PricingThree engagement models, each quoted after scoping.
- AboutWhy datanoter exists, who runs it and what runs today.
- ContactWho to write to about what.
- Request a pilot projectTell us about your data.
- Apply as an expertJoin the reviewer network we are building.
How a dataset moves through datanoter
Models do the first pass so that expert time goes to the decisions that need it.
- 1
Ingest and redact
Your data arrives encrypted. PII redaction removes personal data, and access is limited to the people on your project.
- 2
Pre-label
Self-hosted open-weights models fill in a first pass of labels: Segment Anything for images and video frames, domain-tuned LLMs for text.
- 3
Expert review
Subject-matter experts check and correct each pre-label. Ambiguous items go to several reviewers who cannot see each other’s answers.
- 4
Agreement check and delivery
We measure agreement between reviewers with Fleiss’ kappa and Cohen’s kappa, send disputed items back for another round, then deliver the dataset.
What runs today and what comes next
What runs today
- Pre-labelling engineSelf-hosted open-weights models, for example Segment Anything and domain-tuned LLMs, produce a first pass of labels.
- EncryptionData is encrypted in transit and at rest.
- PII redactionPersonal data is removed before anyone reviews an item.
- Access controlsAccess to data is set per project and per role.
What comes next
- Expert reviewer networkWe are recruiting subject-matter experts now.
- Pilot projectsTaking requests now. Pilots start once the first reviewers are in place.
- Agreement checksBlind review by several experts on ambiguous items, tracked with Fleiss’ kappa and Cohen’s kappa.
- Audit trailsA record of who viewed or changed each item.
- Paid plansManaged annotation, dedicated expert pods and evaluation sets.
Updated .
Who runs datanoter
Onyedikachi Anthony
Co-founder and Executive Lead
Leads business development, client partnerships, strategic execution and technology deployment.
Ugwo Jonas
Co-founder and Operations Lead
Runs operational scale, the expert annotator network, quality assurance standards and client deliverables.
jonas.u@datanoter.comLinkedIn profile to be added.
Models learn whatever their training data tells them. When the data needs a specialist’s judgement, a specialist should check it. datanoter uses models for the first pass so that expert time goes to the decisions that need it.
Tell us about your data
Pilots start once our first expert reviewers are in place. Send a request now and we will reply by email.