About Kaidoku
Built in Tanzania. Built for Africa. Built for the world.
Kaidoku is a browser-based genomics platform built around Kaidoku AI Agent—a conversational assistant that helps you plan analyses, choose tools and pipelines, and interpret results in plain language. Behind the agent sit curated tools, production pipelines, and documentation aligned with what you run, so teams get reproducible results without managing clusters or bespoke installs.
Founded in 2024, Kaidoku started from a simple frustration: students and labs had the science but not the infrastructure. We set out to bridge coursework and real analysis—same agent-first experience in Dar es Salaam, Dodoma, and partner institutions abroad.
At the center is Kaidoku AI Agent: describe your goal in plain language—variant calling from exome data, RNA-Seq differential expression, metagenomics profiling—and the agent suggests the right workflow, walks you through parameters, and helps you read the output. Under the hood we ship quality control and assembly, RNA-Seq quantification toward differential expression and pathway enrichment, metagenomics profiling, variant calling, and population-genetics PCA—each run logged with parameters you can revisit. That is the product: an AI-guided path to credible methods, clear scope, and outputs you can cite and reproduce.
Our vision
Accelerate scientific progress with dependable, browser-accessible bioinformatics—guided by an AI agent that institutions can adopt with confidence.
Our mission
Deliver rigorous, well-documented analyses—from FASTQ to figures—through Kaidoku AI Agent, without asking researchers to become systems administrators.
Our values
Scientific integrity, transparency about methods, and collaboration across institutions in Africa and worldwide.
Leadership
Julius Mwakosya
Founder & CEO
Building Kaidoku to make professional-grade genomics accessible to researchers across Africa and beyond.
Mr. Felix
Chief Scientist
Ph.D. in bioinformatics. Leads pipeline design and scientific validation across all Kaidoku analysis modules.
Elia Mkumbo
Head of Engineering
Leads platform architecture, infrastructure, and the engineering team building the Kaidoku analysis stack.