CareerConnect
An electronic recruitment platform that lets organisations post jobs, screen and rank applicants with AI, and schedule interviews, while candidates build rich profiles an...
Practical AI that predicts, classifies and automates, built into the systems you already use.
We build machine learning and AI features that deliver measurable value: predicting outcomes, ranking candidates, classifying documents, forecasting demand and answering questions in natural language.
Our work is grounded in rigorous research. JaliHaki, our case-duration prediction platform for Kenyan courts, was trained on more than 670,000 case records and is served through a production API. We bring the same discipline to your data.
Models that forecast demand, risk, churn, durations and outcomes from your historical data.
Ranking and recommendation engines, like the CV screening in CareerConnect.
Extracting structured data from PDFs, forms, CVs and gazettes automatically.
Assistants built on large language models, grounded in your own documents and data.
Model pipelines, tracking and APIs that run reliably in production.
Model explanations (SHAP), bias checks and human-in-the-loop review.
An electronic recruitment platform that lets organisations post jobs, screen and rank applicants with AI, and schedule interviews, while candidates build rich profiles an...
A machine-learning platform that predicts how long court cases will take, from the day of filing and as they progress, and flags high-risk cases early so courts can manag...
We learn how your business works, who your users are and what success looks like, then agree on scope, timelines and cost.
We map the user journeys and produce clickable prototypes, so you see and approve the product before we write code.
We develop in short sprints with a demo at the end of each one, and test every release for quality, security and speed.
We deploy, train your team and stay on to monitor, maintain and improve the system as your business grows.
Share your goals and we will send a clear proposal with timelines and pricing within three business days.