Power your AI with data you can trust

No more inconsistent labels No more slow pipelines No more unreliable outsourcing

High-quality data annotation, collection and processing — delivered at scale, on time, and built for real-world AI performance.

✓ Human-in-the-loop QA ✓ Domain-trained annotators ✓ 95%+ accuracy
500+
Trained Annotators
95%+
Accuracy Rate
48hr
Delivery Starts
24/7
Global Coverage

Bad data is breaking your AI

Even the best models fail without the right data. Teams struggle with:

  • Inaccurate or inconsistent annotations
  • Data pipelines that don't scale
  • Missed deadlines and delivery bottlenecks
  • Lack of domain expertise in annotators
  • High costs with low quality output
You don't have a model problem — you have a data problem.

Model Underperformance

Poor training data leads to unreliable predictions in production

🕑

Delayed Deployments

Slow annotation pipelines push launch dates back by weeks or months

📈

Scaling Struggles

Growing data needs outpace internal team capacity and budget

Everything Your Models Need

From raw data to production-ready datasets — we handle the full pipeline

📄

Data Annotation & Labeling

Image, video, text and audio annotation with multi-layer quality control

📊

Data Collection

Custom datasets tailored to your model requirements and domain

Data Processing & Cleaning

Structured, validated and model-ready data pipelines

💬

RLHF & Model Alignment

Human feedback, preference ranking and evaluation for AI alignment

📚

Knowledge Base Preparation

Document processing and content structuring for RAG systems

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Content Moderation

Text, image and video moderation for platform safety at scale

Data You Can Rely On

We combine human expertise with structured workflows to ensure every dataset meets the highest standards

🔎

Multi-Layer QA

Every task passes through multiple review stages before delivery

🎓

Certified Annotators

Teams complete structured training through Mlatho Learn and earn verifiable certificates before working on your domain-specific guidelines

📈

Consistency at Scale

Consensus-based labeling and automated checks across large datasets

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Secure & Compliant

NDAs, access controls and encrypted transfers as standard

In AI, small data errors become big production problems. We make sure they don't.

How It Works

From requirements to production-ready data in four steps

1

Define Requirements

Share your model needs, data types and quality standards

2

Build Your Workflow

Custom pipelines designed for accuracy and efficiency

3

Execute at Scale

Our teams deliver fast, consistent results with QA at every stage

4

Review & Optimize

Continuous feedback loops to improve data quality over time

Industries We Serve

Whatever you're building — we help it perform better

👁

Computer Vision

Autonomous systems, retail, security, medical imaging

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NLP & Language

Chatbots, search, document processing, translation

🎤

Speech & Audio

Transcription, voice assistants, multilingual audio

🩹

Healthcare AI

Medical records, imaging labels, clinical NLP

💰

Fintech

Fraud detection, document extraction, risk models

🛒

E-Commerce

Product tagging, image descriptions, catalog data

Turn Data Into a Competitive Advantage

Better data, better models, better results

🎯

Higher Model Accuracy

Clean, consistent labels directly improve predictions and reduce false positives in production.

🚀

Faster Time to Deployment

Parallel annotation pipelines cut weeks off your training cycle and get models live sooner.

💵

Lower Operational Cost

Outsource data work without building and managing an in-house annotation team.

📈

Scalable Data Pipelines

Scale from hundreds to millions of labels without rethinking your workflow.

The Mlatho Advantage

Mlatho (n.) — Bridge, in Chichewa

We bridge world-class African talent with global AI companies — through a US-registered entity that removes the compliance, payment and organizational friction of outsourcing to Africa.

🇺🇸

US-Registered & Compliant

Our parent company is incorporated in the USA. Pay directly to US bank accounts — no complex cross-border vendor compliance, no currency risk, no tax headaches.

🌐

Fluent English Workforce

Educated in English-medium systems, our annotators produce natively fluent work — a measurable quality advantage over many offshore alternatives.

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Competitive Without Compromise

African talent delivers premium quality at a fraction of Western cost. You get more throughput per dollar without sacrificing annotation accuracy.

Europe-Friendly Timezones

Africa's working hours overlap significantly with Europe and the US East Coast — enabling real-time collaboration and same-day iteration cycles.

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Organized, Not Just Talented

Individual African talent is abundant. What's rare is structure, QA and delivery discipline — and that's exactly what Mlatho provides.

👥

African-Led, Globally Experienced

Our founding team combines decades of leadership at Red Hat, BNP Paribas, and top universities — with deep roots across the African continent.

What Teams Are Saying

“Mlatho helped us scale our annotation pipeline from 5,000 to 200,000 images per month without any drop in quality. That was the unlock we needed.”
R
Rachel M.
ML Engineering Lead
“Our model accuracy jumped 12% after switching annotation providers. The domain training their annotators receive makes a real difference.”
D
David K.
Head of AI, Fintech Startup
“Reliable, fast, and actually easy to work with. We stopped worrying about data bottlenecks and focused on building.”
A
Amira S.
CTO, Computer Vision Co.

Founded by Engineers, Economists & Builders

Global careers. African roots. The experience to deliver what others can't.

LK
Lindani K. Phiri
Co-Founder & Technical Director
  • Senior Principal Software Engineer & AI Platform Architect at Red Hat (OpenShift AI), North Carolina, USA
  • BA & Master of Engineering, University of Cambridge, UK
  • MSc with Distinction, Royal Holloway, University of London
  • Red Hat Patent Program Inventor
🔗 LinkedIn Profile
KY
Kenneth Y. Fukizi
Co-Founder & CEO
  • Senior Systems Developer & Tech Lead at BNP Paribas, Europe's largest bank
  • Published author on enterprise software (ASP.NET Core)
  • Technical reviewer for leading publishers including Apress, USA
  • Former Head of IT, Toyota Malawi
🔗 LinkedIn Profile
MK
Mavuto Kalulu, Ph.D.
Co-Founder & Economic Strategy
  • Assistant Professor of Economics, University of Central Arkansas, USA
  • Ph.D. in Economics, University of Mississippi
  • Research Associate, Arkansas Center for Research in Economics
  • Former Economist, Ministry of Finance, Malawi
🔗 LinkedIn Profile

Work from Africa, serve the world

Join our distributed annotation workforce. Earn in USD, work remotely, and build expertise in AI data services.

  • 💰
    Earn in USD Get paid in US dollars with better purchasing power
  • 🏠
    Work from home No commute — just an internet connection and your skills
  • Fast payments Get paid within 24 hours of task completion
  • 🎓
    Earn Certifications Complete training on Mlatho Learn to grow your AI skills and earn verifiable certificates
Start Earning on Mlatho
“I went from searching for freelance gigs to having steady, well-paid annotation work every week. Mlatho changed my career.”
C
Chimwemwe B.
Data Annotator · Lilongwe
“Earning in USD while working from home in Johannesburg — I didn't think this was possible until I found Mlatho.”
T
Thandiwe M.
NLP Specialist · Johannesburg
500+ Active Annotators
$50K+ USD Earned
Free To Join

Frequently Asked Questions

We provide data annotation and labeling (image, video, text, audio), custom data collection, data processing and cleaning, content moderation, knowledge base preparation for RAG systems, RLHF and model alignment support, and e-commerce data management.
Every project goes through multi-layer quality assurance: annotator training on your specific domain, consensus-based labeling, automated consistency checks, and human review at every stage. We maintain over 95% accuracy across projects.
Typical projects begin delivery within 48 hours of kick-off. We scale teams dynamically to meet tight deadlines — from pilot batches to production volumes — without sacrificing quality.
We serve AI teams across computer vision, natural language processing, speech and audio, healthcare AI, fintech, autonomous systems, e-commerce and more. Our annotators are trained for domain-specific requirements.
All data is handled under strict security protocols including NDAs, role-based access controls, encrypted transfers and secure annotation environments. We comply with international data protection standards.
Sign up at app.mlatho.com, complete your profile and skills assessment, then start accepting projects. You earn in USD, work remotely from anywhere in Africa, and get paid within 24 hours of task completion.
Our workforce is distributed across Africa — currently active in South Africa and Malawi, with expansion into Ghana, Kenya and other countries. This gives clients cost-effective, high-quality annotation with multilingual capabilities.
Yes. Our parent company is registered and fully compliant in the United States. Clients pay directly to US bank accounts — no complex cross-border vendor onboarding, no currency risk, no international tax headaches. Our founding team includes senior technologists at Red Hat and BNP Paribas, and academics at US universities, with deep roots across Africa.
Yes. All annotators complete structured training through Mlatho Learn and earn verifiable certificates. Training covers domain-specific guidelines, quality standards and annotation best practices before annotators begin work on client projects.

Ready to Improve Your AI Performance?

Get the data your models actually need — accurate, consistent, and delivered at scale

Request a Demo
No commitment · Free consultation · Results in days, not months
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