Most AI projects stop at the demo. We design, build and deploy the agents, automations and data pipelines that quietly run inside your business every day.
Trusted by teams in finance, healthcare, logistics and retail
Teams that put our systems to work
Every engagement starts with the same question: where is your team spending hours on work a system should be doing? Then we build exactly that.
Agents that handle support tickets, qualify leads and process documents end to end, with a human in the loop wherever it matters.
The handoffs between your tools, automated. No more copying data between systems or chasing approvals through inboxes.
Language and vision models wired into the products you already run, with the guardrails, evaluation and monitoring that keep them reliable.
Forecasting demand, churn and risk on your own data, delivered as dashboards your team will actually open.
The technology is the same. What changes is knowing where it pays off in your industry — and where it doesn't.
A document agent that reads applications, extracts the fields that matter and flags the exceptions a human should review.
Ambient transcription and structured summaries that give practitioners their evenings back, without touching patient data outside the perimeter.
Demand forecasting joined to live route optimisation, so dispatch stops guessing and starts scheduling against what's actually coming.
A support agent connected to orders, inventory and returns, so it can actually solve the request instead of pointing at a help article.
No black boxes. You see working software early and you know exactly what lands at the end of every phase.
We map your workflows and find where the hours actually go. You get an honest read on what AI should touch — and what it shouldn't.
We define the system: the data it needs, the decisions it makes, where a human stays in the loop, and how we'll know it's working.
Two-week cycles with something working at the end of each one. You review real behaviour, not slides.
Into your environment, with monitoring, evaluation and rollback in place before it handles anything that counts.
Models drift and processes change. We keep measuring against the metrics we agreed and tune as reality moves.
Plenty of teams can run a proof of concept. Far fewer can put a system into production and keep it healthy once real users touch it.
We design for the day it goes live: monitoring, evaluation, fallbacks and cost controls are part of the build, not an afterthought.
Deployed inside your perimeter when it needs to be. Clear data boundaries, documented retention, no surprises in the audit.
Every engagement is tied to a metric you already track — cost per case, resolution time, forecast accuracy — and we report on it.
You get the code, the documentation and the credentials. If you want to take it in house tomorrow, nothing stops you.
If AI isn't the right tool for the problem, we'll tell you in the first call and point you at what is.
The people in the discovery call are the people who build it. Nothing gets handed off to a team you've never met.
Loan document processing rebuilt around an extraction agent with human review on exceptions only.
Ambient note-taking across 40 practitioners, deployed entirely inside their own infrastructure.
Demand forecasting feeding live route optimisation across eleven distribution centres.
We'd rather let the people who hired us explain it. These are clients who kept working with us after the first project shipped.
Read the full stories →"They talked us out of two of the four things we asked for, and the two they built paid for the whole engagement in five months."
"The difference was that it actually went live. We'd done two pilots before that never made it out of the sandbox."
A 30-minute call. We'll map where AI would actually pay off in your business — and tell you honestly if it wouldn't.