Real products, shipped with AI at the centre.
We build practical AI into real products, internal systems and everyday workflows. Sometimes that means a full AI-native product. Sometimes it means smart automation inside the tools you already use.
The AI shapes that turn up most often in our work.
Built on modern AI-native stacks where that fits, and brought safely inside OutSystems estates where that fits better.
Knowledge AI you can trust
AI that answers questions from your own content, with citations users can verify. The technique behind it is called retrieval-augmented generation, or RAG.
Voice-driven products
Voice-based interviews, transcription and summarisation, with the analysis layer that turns recordings into something useful.
AI that reads and matches
Summarising CVs, matching candidates, classifying documents. Turning messy text into structured decisions your team can act on.
AI that does the work end-to-end
Multi-step AI that completes a task on its own, with the safety checks to know when to stop and ask a human.
Analytics in plain English
Ask a question in normal language, get a chart against your real data. Safe to run, accurate, and easy to measure.
AI inside the systems you already have
Smart features brought safely into OutSystems and other existing environments, without breaking the rest of the estate.
Three recent products where AI is the point, not the flavour.
Two partnerships, both pulling their weight.
Whichever stack the work lands on, the same two partnerships sit underneath. OutSystems for low-code at enterprise scale, Anthropic for the AI tooling we use every day. Real partnerships, real production use.
Agent Workbench & Mentor, used in production.
We use OutSystems Agent Workbench to build agentic AI features safely inside the platform, and Mentor to keep delivery sharp, code review, refactors, performance diagnostics, all without leaving OutSystems.
Claude Code & agents, day to day.
Engineers, designers and product use Claude Code and purpose-built sub-agents to ship faster on modern stacks, with the same quality controls we apply to anything human-written. We work directly with Anthropic's tooling and stay close to the product as it evolves.
We know the tech, and we know how to deploy it safely.
Most AI projects stall in the gap between a clever demo and a system the business can rely on. Closing that gap is the job we do best.
Two years building AI for real customers
Not lab experiments. Live products, real users, and the scrutiny that comes with both.
We choose the right tool for the job
We work with all the major AI providers, including Claude, OpenAI, Gemini, Hugging Face, Perplexity, ElevenLabs, Vapi and OutSystems Agent Workbench. We pick based on the workload, the risk and the outcome.
We deploy AI safely, with the right safety checks
Testing, monitoring and guardrails are part of every build. The AI you launch on day one behaves the same way on day one hundred.
Got an AI build of your own?
Bring us the goal. We'll come back with what we'd build, roughly how long, and roughly what it'd cost.