Software development services

We build the web product you actually run your business on — customer portals, marketplaces, dashboards, internal tools, and public sites. Typically a SvelteKit or React front end over a Go or Node API and PostgreSQL, with pagination, indexes, and caching designed in from the first schema rather than bolted on when traffic arrives. Everything ships with automated tests and a CI pipeline, so the second release is as safe as the first.

• SvelteKit / React
• Go & Node APIs
• PostgreSQL & Redis
• Tailwind CSS
• Playwright E2E

One codebase, both stores. We build in Flutter or React Native, design for patchy connectivity from the start — offline-first storage and sync rather than a spinner over a dead connection — and take the app the whole way through App Store and Play review, signing, and release. Push, deep links, in-app payments, and crash reporting come as part of the build, not a follow-up project.

• Flutter
• React Native
• App Store delivery
• Offline-first

Design that starts with your users and ends with something engineers can build without guessing. We run the research, map the flows, prototype the risky screens before anyone writes code, and hand over a design system with real components and states — not a folder of pretty screenshots. Because the same team builds it, nothing gets lost between the mockup and the merge.

• UX research
• UI design
• Prototyping
• Design systems

Infrastructure you can reason about at 2am. We set up your cloud on AWS or GCP with Terraform, containerise the services, and wire GitHub Actions so a merge becomes a deploy with tests, migrations, and a rollback path. Then we make it observable — structured logs, metrics, dashboards, and alerts that fire on symptoms your users would notice rather than on CPU graphs nobody reads.

• AWS / GCP
• Docker & K8s
• Terraform
• GitHub Actions CI/CD
• Grafana observability

Getting data out of the systems that hold it and into a shape people can act on. We build ETL and streaming pipelines, model the warehouse so the numbers agree with each other, and put dashboards on top that answer the questions your team actually asks. Pipelines are idempotent and re-runnable, so a bad source file is a replay rather than an incident.

• ETL pipelines
• Warehousing
• Dashboards
• Real-time streams

AI features that survive contact with production. We build LLM applications, retrieval systems over your own documents, tool-using agents and MCP integrations, and the evaluation harness that tells you whether a prompt or model change actually improved anything. Cost, latency, and failure behaviour are treated as product requirements — because a feature that is brilliant and unaffordable never ships.

• Claude & OpenAI
• AI agents & MCP
• RAG systems
• Claude Code
• ML pipelines

We staff the human side of model building. AI labs and data platforms come to us for annotators, AI trainers, evaluators, and domain experts — skills-tested, identity-verified, and briefed to your guidelines before they reach your onboarding. That covers labeling, RLHF and human-preference data, rubric-based evaluation, red-teaming, and native-speaker work in Amharic, Oromo, Swahili, and other African languages most vendors cannot staff at all.

• Data annotation & labeling
• RLHF & preference data
• Model evaluation
• Red-teaming
• African language data