Gaithumalabs — Nairobi, Kenya · 1°17′S 36°49′E

Foundation models, built from bedrock.

Gaithumalabs is an applied AI lab engineering custom large language models, fine-tuned systems and production AI infrastructure for enterprises across East Africa and beyond.

Live signal: a synthetic inference trace — every request into a Gaithumalabs model leaves a trace like this one. We read them closely.

Four depths of customization, one lab.

Engagements start wherever your problem actually lives — from an applied system wired onto an existing base model, down to a foundation model trained from your own data bedrock.

0–40 m

Applied AI Systems

Retrieval, agents and copilots wired directly into how your teams already work — support desks, underwriting queues, field operations.

  • RAG pipelines
  • Agentic workflows
  • Internal copilots
40–120 m

Fine-Tuning & Alignment

Open and proprietary base models adapted on your data, instruction-tuned to your voice, and evaluated against metrics that matter to your business.

  • SFT & RLHF
  • Domain adapters
  • Evaluation harnesses
120–260 m

Custom Model Training

Domain- and language-specific LLMs trained from the ground up, including low-resource East African languages under-served by global models.

  • Pretraining
  • Swahili & regional NLP
  • Tokenizer design
260 m+

AI Infrastructure & Deployment

Inference clusters, on-prem and sovereign deployment, and the MLOps discipline regulated industries need to run models with confidence.

  • On-prem inference
  • Sovereign deployment
  • MLOps & monitoring

From bedrock
to deployment.

A four-stage pipeline we run on every engagement, whether we're fine-tuning an open model for a week or training a proprietary one for a year.

Stage 01

Data & Domain Mapping

We survey your data bedrock — structured, unstructured, regulated — and scope what a model actually needs to learn.

Stage 02

Training & Fine-Tuning

Base selection, adaptation and pretraining runs, tracked against benchmarks tied to your real workflows, not leaderboard vanity metrics.

Stage 03

Evaluation & Red-Teaming

Independent evaluation, adversarial testing and bias auditing before anything reaches a production endpoint.

Stage 04

Deployment & Monitoring

Shipped into your infrastructure of choice, with drift monitoring and a direct line back to the team that built it.

How the lab runs.

The operating facts behind the work — the parts that matter when you're choosing who builds a model you'll depend on.

01
Lab, one address — Nairobi
sw / en
Multilingual by default
On-prem
Sovereign deployment option
24/7
Model monitoring

Built for East Africa's regulated, real-world sectors.

Every model we ship is built against the constraints of the industry it runs in — latency, connectivity, language and compliance included.

01

Financial Services

02

Telecommunications

03

Agriculture & Climate

04

Public Sector & Government

05

Healthcare

06

Logistics & Supply Chain

“We don't fine-tune a demo. We deploy models that hold up under an audit.”
— Gaithumalabs, Engineering Principles
Get in touch

Tell us what you're trying to build.

Nairobi, Kenya · hello@gaithumalabs.tech · +254 737943607