Building the Data Infrastructurefor 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?
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
- 01Collect
- 02Structure
- 03Evaluatea share rejected at review
- 04Deliverproduction-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 →Global reach. Local expertise.
Our network connects trained professionals, language contributors, annotators and domain experts across 22+ countries, so projects can be resourced close to the people and languages they concern.
These are the countries our contributors live and work in, not offices we operate. That distinction matters: it is what lets us recruit for local context, dialect and domain knowledge that a remote team cannot supply.
Africa
15 countries
Asia & Middle East
5 countries
Europe & Eurasia
2 countries
Not only language speakers.
Our community brings professional judgement to the data, which is what separates a usable clinical or financial dataset from a literal one. A medical record annotated by someone who has read records before is a different artefact.
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.
Built for quality. Designed for scale.
We prioritise quality over quantity. Every project is structured around accuracy, consistency and the specific requirements of the client.
Quality first
We prioritise accuracy, consistency and reliability over volume. A large dataset built on inconsistent judgement cannot be corrected in a single pass; a smaller uniform one can be extended.
Built for scale
Our trained contributor and professional network lets projects grow to the size a client requires, without recruiting from scratch each time.
Fast delivery
Structured workflows move a project from requirements to production and quality assurance without a long discovery phase for every engagement.
Human expertise
Our network includes professionals across industries and disciplines, so a project can be matched to people who understand the subject matter, not only the annotation task.
Global South expertise
Strength in underserved languages and markets gives access to human data that conventional pipelines reach poorly or not at all.
End-to-end workflow
Collection, annotation, validation, quality assurance, evaluation and delivery run as one process, so responsibility for the final dataset does not fall between vendors.
How a project runs
One process, one accountable team. Where collection and review sit with different vendors, the errors that matter most are the ones nobody owns.
One partner for the human side of AI development.
Instead of assembling four vendors and reconciling four standards of quality, the data, the experts and the evaluation come from one system.
- Data collection✓
- Data annotation✓
- Expert data✓
- Multilingual data✓
- Human preference data✓
- Model evaluation✓
- Red teaming✓
- Domain experts✓
- Local-market evaluation✓
- Continuous evaluation✓
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.
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.