Generate purpose-built data
Build new text, speech, image or contextual datasets around a defined model or product requirement.
Book a CallGoloka AI Data & Evaluation
Build and
evaluate AI with
the right people.
Goloka helps AI teams generate human data, work with relevant language and specialist communities, and evaluate how models perform for the people they are meant to serve.
Language context Human feedbackHow we can work with you
Start with the gap in your model or dataset.
You may already know the language, data type or evaluation task you need. Or you may simply know that your model is not performing well enough for the audience you care about. We can start from either point.
Access existing data
Explore existing language, cultural and field datasets that can inform evaluation or learning requirements.
Evaluate model performance
Test how a model behaves across relevant languages, users, places and real-world contexts.
Build benchmarks
Create reusable evaluation sets for comparing performance consistently over time.
How an AI data project works
You tell us what your model needs.
We build the human process around it.
We turn your model requirements into a structured human-data and evaluation workflow. Your team stays in control of technical definitions through collection, quality assurance and delivery.
Get Started with GolokaYou describe the requirement.
Share the model type, language, population, data modality and intended product or performance gap.
We confirm the available supply.
We assess whether the relevant speakers, users or specialists can be recruited and what scale is realistic.
We design the task with you.
We agree the contributor profile, task instructions, qualification process, consent requirements, quality controls and expected output.
We recruit and qualify the right people.
Participants are selected for the requirements of the project rather than treated as a generic labour pool.
We collect and quality-assure the work.
We manage collection or evaluation workflow and apply the agreed review process before delivery.
You receive documented data or evaluation results.
The output is delivered with the agreed supporting information and quality controls.
What Goloka can generate
Different models require different kinds of human input.
Language Speech & Text
Speech and conversational audio
Text generation and response data
Transcription
Translation
Image, Video & Multimodal Data
Image, video and field evidence
Multimodal datasets
Real-world observations
Feedback & Model Evaluation
Preference and ranking exercises
Human evaluation of model responses
Usability testing
Safety reviews
Context & Specialist Evaluation
Language and cultural evaluation
Specialist or domain evaluation
The people behind the data
The people producing or evaluating the data should understand what it represents.
A Hausa data task is not simply English translated into Hausa.
Language changes by region and context. Cultural expectations shape interpretation. Specialist subjects require people who know the field. We design the human side of a data project around that reality.
We recruit for context.
We can combine digital tasks with ground evidence.
We manage the workflow from recruitment through QA.
We understand that rights matter.
Consent and data rights
Permission is part of the dataset.
Research participants, AI trainers, AI evaluators and commercial data contributors are not interchangeable. The work requires clear consent, use rights and handling rules.
We design sourcing and documentation around the intended use of the data so teams understand what they can use, how and under what conditions.
Read about data governance
Permission recordedWho we work with
Built for teams bringing AI into African contexts.
AI labs and model developers
African technology companies
AI data & evaluation companies
Enterprises deploying AI in Africa
Development organisations
AI data is more than annotation.
We source the people, context and evidence your model needs.
Get started Reach out to our team
What is difficult for
you to source or evaluate today?
Tell us the language, population, model type or data requirement. We will review the available supply and propose a realistic collection or evaluation approach.
Request Sample Data