Service · Full-stack + AI

Custom AI Software

Software that thinks. Built for what your business actually does.

Your customers expect software that anticipates them. We design and ship AI-integrated web and mobile products where the intelligence is architectural, not cosmetic — recommendation engines, forecasting layers, smart dashboards and predictive UX designed from the first sprint, not promised in phase three.

6w
Typical MVP timeline
Faster than agency average
96%
Client retention rate
40+
AI products shipped
What we deliver

Everything you need, nothing you don't.

AI-native frontend

Modern TypeScript React applications with performance budgets built for mobile. Every UI decision accounts for latency, offline tolerance and low-bandwidth environments.

Intelligent backend

Node or Python services with model serving, evaluation hooks and clean API contracts. Built to your compliance stack, not against it.

Predictive & recommendation layers

Ranking, forecasting and classification — scoped to what will measurably change user behaviour or business outcomes. No vanity models.

Data pipelines & contracts

Feature stores, labelling workflows and model registries that your team can maintain after launch. No black boxes handed over at go-live.

Observability from day one

Model latency, prediction drift, business event tracking — all live in the same observability layer as your infrastructure. Problems surface before users find them.

Launch & handover

Runbooks, architecture docs and a 30-day post-launch support window. Your team takes ownership; we stay reachable.

How it works

A clear process. No surprises.

We run every engagement against a repeatable framework — so you always know what's happening and why.

01

Free AI audit

We map your existing product, data signals and team constraints. You get a prioritised shortlist of AI opportunities and a risk assessment — even if you don't work with us.

02

Architecture & scoping

We define the MVP slice — the smallest version that proves the core AI thesis in production. Data contracts, model evaluation criteria and UX fallbacks are specified before any code ships.

03

Iterative build

Two-week sprints, weekly demos, real feedback. AI features go into production incrementally — not in a big-bang release that surprises everyone.

04

Launch & measure

Go-live with live monitoring on both the product and the models. We rebaseline against the success metrics agreed at scope — and publish the results.

Built for

Common use cases.

E-commerce recommendation enginesFintech decision dashboardsSaaS products with AI copilotsMobile apps for African marketsInternal tools & operations portalsHealthcare & agritech platforms

Every situation is different. A free audit maps your exact starting point — no templates, no guesswork.

Next step

Let's map your exact opportunity.

The audit is free and takes 45 minutes. You'll leave with a prioritised shortlist of AI opportunities, a risk map and a concrete next step — whether you work with us or not.