About datanoter
Why we exist
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.
How we work
- Experts where it matters
- General reviewers handle what they can. Anything that needs a clinician, a lawyer or an engineer goes to one.
- Measure agreement
- Two experts can disagree. We plan to measure how often, with Fleiss’ kappa and Cohen’s kappa, and to send disputed items back rather than pick an answer.
- Say what runs today
- This site separates what works now from what is planned, and dates the list.
- Keep data contained
- Pre-labelling runs on models we host ourselves. Data is encrypted and personal details are removed before review.
Team
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.
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 .
Status as JSON /data/status.json
Company details
- Legal name
- Datanoter Tech Ltd
- Location
- Enugu, Nigeria
- Registration number
- Registration number and registered office to be published.
- Registry
- To be published.
- Date of incorporation
- To be published.
- Registered office
- To be published.
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.