The Quality DataAI Is Missing.
Building the data infrastructure for the Global South.
We help organisations build, evaluate and improve AI using high-quality human data.Global South human intelligence at scale.Collection, annotation, evaluation and quality assurance across banking, healthcare, technology, education and research. Language is one of our greatest strengths; our capability goes well beyond it.
Data services for AI, end to end.
Collection through to evaluation, delivered by trained people and checked by a quality process rather than assumed to be right.
Data Collection
Structured, human-generated data gathered to your specification across formats, languages and specialist domains.
- Text and document data
- Audio and speech data
- Image and video data
- Survey and human-response data
- Conversational data
- Multilingual data
- and 2 more
Annotation & Labelling
Datasets prepared for machine learning, annotated against a written specification and measured for consistency.
- Text annotation
- Image annotation
- Video annotation
- Audio annotation
- Document annotation
- Classification
- and 5 more
AI Evaluation
Model outputs assessed by people against stated criteria, with the reasoning recorded rather than a bare score.
- AI output evaluation
- Human preference evaluation
- Response quality assessment
- Accuracy and relevance evaluation
- Safety evaluation
- Translation evaluation
- and 3 more
Quality Assurance
Multi-stage human review designed to find errors rather than confirm that work was done.
- Data validation
- Quality checks
- Human review
- Error identification
- Data cleaning
- Double annotation
- and 2 more
Language & Multilingual Data
Collection, translation, transcription, annotation and evaluation across languages that conventional pipelines reach poorly.
- Translation and localisation
- Transcription
- Speech and voice data
- Dialect and regional variation
- Low-resource language collection
- Code-switched and mixed-language data
- and 1 more
Domain Expertise
Projects matched to people who understand the subject matter behind the data, not only the annotation task.
- Clinical and health content
- Legal and regulatory content
- Financial and commercial content
- Agricultural content
- Educational content
- Government and public service content
- and 1 more
Custom Data Projects
Tell us the requirement. We design the collection, annotation, evaluation and quality-control workflow around it.
- Bespoke workflow design
- Multi-stage pipelines
- Mixed data types
- Ongoing data production
- Dedicated project teams
What do you need?
Who does the work
Qualified professionals, not an anonymous crowd.
Doctors, lawyers, engineers, agronomists, linguists and research academics, recruited in their own countries and verified before they touch a client’s data. For technical, clinical and scientific work, that is the difference between a dataset that is literal and one that is usable.
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Countries in the network
Across Africa, Asia, the Middle East and Europe.
The levels we recruit and verify at
Every figure above is read from the network itself, so it is the real one and it grows as the network does. See how the network is built.
AI doesn't fail everywhere
in the same way.
The same system can be reliable in one market and quietly wrong in another. Performance shifts with language, culture, geography, profession and the conditions people actually use it in.
Generic datasets and evaluation methods cannot always capture those differences.
Prompt · identical across all three
My transfer failed but my account was debited. What should I do?
Omits the dispute path and the reference number the customer needs.
Materially incomplete. Misses reversal window, reference and dispute process.
Illustrative of a failure pattern we measure, not a published benchmark result.
Performance shifts along every one of these
That's where we come in.
We connect AI builders with the people, knowledge, data and evaluation capabilities required to understand how AI performs in real-world markets.
Three capabilities. One partner.
AI that works within your boundaries.
Build, evaluate and manage AI data programs around the jurisdiction, governance, security and ownership requirements of your organisation.
We do not sell a sovereignty guarantee. Requirements differ by jurisdiction, regulator, contract and data type — so we design the program around the ones that apply to you, and say plainly what we cannot support.
Explore Sovereign AIBuilt for the contexts global AI cannot afford to overlook.
The Global South is not one market. It is thousands of languages, communities, industries, environments and cultural contexts — and every one of them enters the same controlled pipeline.
Markets
- 01CollectSpeech · text · images
- 02StructureLabel · transcribe
- 03EvaluateExpert reviewa share rejected at review
- 04DeliverQuality-checkedproduction-ready
Hover a market to trace its path through the system.
The world's AI systems increasingly operate in markets whose languages, cultures and real-world contexts have historically received less representation in AI infrastructure. LeanGoogs builds the local intelligence needed to evaluate and improve AI within those contexts.
Explore the Global South →People are part of the infrastructure.
A verified network of local contributors and subject-matter experts, structured by language, professional background and demonstrated capability — not a generic freelancer pool.
Incoming task
Evaluate a clinical assistant in Yoruba
Language
Expertise
Capability
Matched to a qualified contributor: Yoruba · Healthcare · Evaluation
From definition to delivery.
Every engagement runs the same controlled path, so you know what happens to your work at each stage.
Define
Tell us what your AI system needs — the languages, markets, expertise and the standard it has to meet.
Match
We identify the right languages, locations, skills and subject-matter expertise for the work.
Execute
Qualified contributors and experts complete the work through controlled workflows.
Validate
Our quality systems and reviewers evaluate the outputs before anything reaches you.
Deliver
You receive production-ready data, evaluation results or intelligence.
Built for industries where context matters.
Where being wrong in a particular language, market or professional domain has a real cost.
Quality isn't a feature. It's the system.
The difference between usable data and expensive noise is the process around the people producing it.
Local depth
We build networks within markets rather than treating entire regions as anonymous data sources.
Verified expertise
Contributors are matched according to language, professional background, skills and demonstrated performance.
Quality by design
Our workflows are built around qualification, review, gold standards and continuous measurement.
Built for AI
We don’t simply provide labour. We build data and evaluation systems designed around AI development.
The quality system
Four layers, running continuously.
Qualification
Contributors are assessed for language, professional background and demonstrated skill before they are eligible for work.
Gold standards
Known-answer items are seeded through live work so quality is measured continuously, not sampled at the end.
Review
Independent reviewers check output against the brief, with escalation paths for disagreement.
Measurement
Agreement, accuracy and consistency are tracked over time and fed back into who is matched to what.
What we're learning about AI in the real world.
Reports, benchmarks and research on how AI actually performs across languages and markets — including the results that are inconvenient.
Investors and partners
What is already running, and what we are building next.
A roadmap is easy to write. These are the things that exist, marked honestly, with the links to check them.
Why this, and why us
01
The data that AI is worst at is where we are strongest
Frontier models are weakest on low-resource languages, local context and the documents of emerging markets. That is not a gap we are chasing into; it is where our network already lives and works.
02
We train the supply, we do not rent it
Six assessed levels, a 90% pass mark, and verifiable credentials. The people doing the work are taught by us, measured by us and certified by us, so quality is a system rather than a hiring gamble.
03
Sovereignty is a requirement, not a feature
Governments and regulated industries increasingly cannot send their data abroad. We are built for work that stays inside a jurisdiction, under its own governance and audit.
Talk to us directly
If you invest in, or build on, the infrastructure underneath AI, we would like to hear from you.
Enquiries reach the founder. Tell us who you are and what you are looking for, and you will get a straight answer about where we are, including the parts that are not finished.
Prefer to look before you write? Read what we have shipped, see who is behind it, or ask for a walkthrough.
Ready to build AI that works in more places?
Tell us the markets, languages and systems involved, and we will scope the data, expertise or evaluation the work needs.