Annotation · Validation · ML & GenAI
High quality data your model can actually trust
Hewani Data delivers human-verified data for AI teams who can't afford to get it wrong — from annotation, validation, and evaluation to end-to-end ML system design at scale.
Trusted by teams at
Higher education & research
Public policy & government finance
AI, data & technology
Financial services & insurance
Who we work with
Three teams, three different problems
Whoever you are, the data problem in front of you looks different. We built our process around that instead of running everyone through the same funnel.
Ship the model, not the backlog
Fast turnaround and pricing that doesn't assume a Western vendor's cost base — labeling and QA that keeps pace with a team that ships weekly.
Read the Oxygen AI story →Scale without losing quality control
Dedicated project management, documented QA scoring, and a workforce trained and qualified per task — built for teams who have to answer for data provenance.
See how QA works →Reliable collaboration, not a black box
Clear communication, consistent turnaround, and a team that treats a research project with the same rigor as a commercial one.
Read the Stockholm University story →Why Hewani
The work is done by a full-time, trained team
Not a crowdsourced task queue. We hire and train East African talent for annotation, QA, and ML engineering roles — full-time, accountable, and invested in the outcome, which is also what keeps our pricing well under typical Western vendor rates.
One team, the whole pipeline
From raw data to a deployed model — annotation, QA, analytics, and system design under one roof, with a single project manager who owns the outcome.
Trained, not crowdsourced
Every annotator is hired, trained, and qualification-ranked before working live data — part of a program that also opens digital-economy roles for young East Africans.
Built to compete on cost, not cut corners
Our cost base lets us price well below typical US/EU vendors on comparable work — see how that breaks down on the services page.
Proof, not promises
What clients say after the project ends
Two clients, two different problems — a funded AI startup and a university research group. This is what working with Hewani has looked like for each of them, in their own words.
Oxygen AI came to Hewani needing a data partner who could move at startup speed without the overhead — and the communication gap — that often comes with an offshore vendor. Hewani took it on as an embedded partner rather than a ticket queue: responsive communication, a consistent point of contact, delivery the team could plan around.
"The team are great at communicating with clients. I would not hesitate to work with them again."
Anders FjellströmResearcher, Stockholm University
Stockholm University has worked with Hewani across two separate research projects — the kind of repeat engagement that only happens when the first one actually held up to academic scrutiny, not just accuracy on a spec sheet.
"Hewani Data has done two projects for us. I particularly appreciate their efficient and clear communication and their sense of responsibility."
How quality actually gets controlled
Every annotator is trained, ranked, and scored before and during your project
Task-specific, before live data
New annotators are trained specifically on your task type — segmentation, point-cloud labeling, classification — before touching live data.
Higher stakes, proven annotators
Workers are ranked by qualification against task-specific benchmarks, so higher-stakes work goes to proven annotators, not whoever's available.
Tracked through delivery
Every response is scored against your project's QA criteria on an ongoing basis, with a dedicated project manager tracking accuracy through delivery.
Have a dataset that needs work?
Tell us what you're building and what you have — we'll tell you what it'd take.