What we can build for you
The things we do regularly. Most projects combine three or four of them, because a model without a pipeline and an interface is not a system anyone can use.
AI models & agents
Fine-tuning, retrieval systems, voice and chat agents, and evaluation harnesses that catch regressions before your customers do.
AI engineering
Taking a model from a working notebook to a dependable product: serving, latency and cost budgets, monitoring, and the plumbing that keeps it running after launch.
Harness engineering
The scaffolding around a model that makes it usable: tool calling, sandboxes, context handling, guardrails, and the test harnesses that show whether it is actually improving.
Data systems
Ingestion, pipelines, warehouses, and the modelling layer on top. Getting operational data into one place, then making it answer questions.
Web development
Marketing sites and web applications on modern frameworks, handed over with the tooling and documentation to keep changing them.
App development
Cross-platform mobile apps and desktop tools, including offline-first builds for field and site teams who lose signal.
CMS & internal software
Content systems, admin panels, and back-office tools shaped around how your team actually works instead of a generic template.
Dashboards & BI
Operational dashboards and reporting built on your live data, with the metric definitions agreed once rather than argued about monthly.
Automation & integration
Connecting the tools you already pay for, and replacing the manual steps between them with workflows that run unattended.
Cloud engineering
Designing and running the infrastructure your software sits on: networks, environments, storage and scaling, with cost kept visible from the start.
DevOps
The delivery pipeline: automated builds, tests and releases, plus the monitoring that tells you something is wrong before your users do.
Tools we work in daily
Chosen per project. We do not start every build with the same four boxes.
Not sure which of these you need?
Describe the problem and we'll tell you what it actually takes, including when the answer is less than you expected.
