AI and software development for tech companies.
We offer software development for tech companies that already know how to build: SaaS businesses adding AI to their product, scale-ups with more roadmap than developers and IT service providers offering AI to their clients. We join your repositories, rituals and review process, and ship with coding agents, with a person checking every change.
Industries in software and tech
The work, and where software fits
Tech companies usually need two things from outside: specific experience with retrieval, evals and agent design for AI features, and capacity to take on a product stream while the core team keeps the roadmap moving. They expect the work to meet their own standards from the first pull request.
Our software development for tech companies happens inside your GitHub, Linear or Jira and your CI: we follow your conventions and hand over code your team is comfortable maintaining. We use coding agents for scaffolding, tests and migrations, and a person reviews every change before it merges.
What we build for software and tech
AI features in the product
Search, assistants, document understanding and agent workflows built into your SaaS, with evals and cost controls from the first release.
Delivery capacity
A product stream or an integration backlog taken on in your codebase and your sprint cadence, through staff augmentation for scale-ups.
Agentic engineering
Coding agents on tests, migrations and refactors, with review and CI gates on every change.
Evaluation and monitoring
Test sets, tracing and dashboards that show how model-powered features behave for real customers after each release.
White-label delivery
AI and software projects delivered under your brand for your clients, for MSPs, system integrators and consultancies.
Related work
Further reading
Agentic engineering: how we ship SaaS with Claude Code and Codex
How experienced developers use coding agents to build SaaS while keeping control of architecture, quality and security.
4 min read
LLM evals: testing AI before every release
A practical approach to LLM evals: build a test set from real cases, combine code checks with model grading, and block releases that regress.
5 min read
When custom software beats off-the-shelf
A practical way to decide between off-the-shelf software and custom development, covering total cost of ownership, integrations and risk.
5 min read
Common questions
Yes, that is how we work with tech companies. We join your repositories, standups and code review, follow your conventions and pair with your developers so knowledge stays in your team.
You do, from the first commit. Work happens in your repositories under a contract that assigns IP to you, and we do not reuse your product code for other clients.
Agents take the repetitive parts, such as scaffolding, test generation and migrations, and we review every change. Your CI, linting and test requirements apply to our pull requests exactly as they do to your own team's.
Yes. MSPs, system integrators and consultancies use us to deliver AI and software projects under their own name. Our partner programme page has the details.