Schedule your spot. We take only 3 projects per 6 months to ensure premium quality and full focus. ⚑ Schedule your spot. We take only 3 projects per 6 months to ensure premium quality and full focus. ⚑ Schedule your spot. We take only 3 projects per 6 months to ensure premium quality and full focus. ⚑ Schedule your spot. We take only 3 projects per 6 months to ensure premium quality and full focus. ⚑
Proud to have partnered with:
Microsoft
Capgemini
HubSpot
Google
Shopify
Thoughtworks
Zapier
Altar.io
Klaviyo
Aws
Microsoft
Capgemini
HubSpot
Google
Shopify
Thoughtworks
Zapier
Altar.io
Klaviyo
Aws
EagliX Service

AI Model Training & Alignment

Expert-annotated training data and fine-tuned models, built without the agency overhead.

RLHFSFTData LabelingFine-tuningLLM Ops
What We Build

Our approach to AI Model Training & Alignment

Building accurate, safe AI models requires more than compute — it requires high-quality human data and deep alignment expertise. We provide the complete data pipeline from annotation through fine-tuning, giving you production-ready models faster than any in-house team could deliver alone.

Our network spans 7 of Africa's leading universities, giving you direct access to hundreds of BSc, MSc, and PhD-educated annotators in Computer Science, Linguistics, Mathematics, and domain-specific fields — all under one roof. No middle agencies. No communication layers. Just expert annotators, custom tooling, and models that actually align with your users.

AI Model Training & Alignment
Our Talent Network

World-Class Annotators. Direct Access.

Unlike most data providers, we don't outsource to anonymous crowds or layer agencies between you and your annotators. Our talent network is built exclusively from graduates of top African universities — spanning BSc, MSc, and PhD levels in Computer Science, Linguistics, Mathematics, and domain-specific fields across six countries.

University of Cape Town

University of Cape Town

South Africa

BScMScPhD
University of Ibadan

University of Ibadan

Nigeria

BScMScPhD
Makerere University

Makerere University

Uganda

BScMScPhD
University of Nairobi

University of Nairobi

Kenya

BScMScPhD
University of Ghana

University of Ghana

Ghana

BScMScPhD
Cairo University

Cairo University

Egypt

BScMScPhD
University of Tunis El Manar

University of Tunis El Manar

Tunisia

BScMScPhD
Mohammed V University

Mohammed V University

Morocco

BScMScPhD
Addis Ababa University

Addis Ababa University

Ethiopia

BScMScPhD
University of Algiers

University of Algiers

Algeria

BScMScPhD
University of Rwanda

University of Rwanda

Rwanda

BScMSc
University of Dodoma

University of Dodoma

Tanzania

BScMSc

One team. No agency layers.

Traditional data annotation involves 2–3 agencies between you and the actual annotators — each one adding cost, delay, and quality dilution. At Eaglix, our annotators are our colleagues. We built the tools, trained the team, and own the pipeline from intake to delivery. You get the speed and quality of a specialized in-house team without the overhead of building one yourself.

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Why EagliX

What Makes Us Different

Zero Agency Overhead

Direct access to our vetted annotator network. No third-party coordination, no inflated costs, no quality dilution through intermediaries. You work with one team end to end.

Academic-Grade Talent

BSc, MSc, and PhD graduates from 7 leading African universities. Specialists in CS, NLP, Mathematics, and domain-specific subjects covering multiple languages and cultural contexts.

Full Pipeline, One Contract

From raw data collection and annotation through RLHF, fine-tuning, and model evaluation — we own the entire pipeline. No coordination tax between vendors.

Production-Ready Output

Models that don't just benchmark well — they perform in the real world. We test for edge cases, bias, and alignment with actual user behavior before handing off.

Deliverables

Everything You Get

No ambiguity. Every engagement comes with a clear scope and defined deliverables agreed upon before work starts.

  • High-quality SFT (Supervised Fine-Tuning) datasets
  • Preference-ranked RLHF training pairs
  • Fine-tuned model weights (LoRA, full fine-tune, or adapter layers)
  • Custom annotation portal and tooling
  • Dataset quality assurance reports
  • Model evaluation benchmarks and red-teaming results
  • Deployment-ready model artifacts
  • Data pipeline documentation and handoff
Is This Right For You?

This Service Is Built For…

AI labs building or aligning foundation models
Startups fine-tuning open-source LLMs (Llama, Mistral, Gemma)
Enterprises deploying domain-specific RAG systems
Research teams needing expert-annotated datasets
Companies replacing expensive proprietary models with fine-tuned alternatives
How We Work

From First Call to Delivery

01
01

Requirements Workshop

Define task taxonomy, annotation guidelines, quality thresholds, and language/domain requirements with your team.

02
02

Annotator Matching

We assign specialists with the right domain expertise and degree level from our university network for your specific task.

03
03

Pilot Batch

500–1,000 samples annotated and reviewed to validate quality, calibrate guidelines, and surface edge cases early.

04
04

Full Production

Scaled annotation with continuous QA, inter-annotator agreement checks, and real-time progress reporting.

05
05

Model Training

Fine-tune, evaluate, and iterate until performance meets your benchmarks across all defined evaluation dimensions.

06
06

Delivery & Handoff

Full dataset, model artifacts, documentation, and a knowledge transfer session so your team can continue iterating.

Ready to Start?

Let's build something exceptional

Book a free 30-minute discovery call. We'll scope your project, answer every technical question, and give you a clear path forward — no commitment required.