The demo was easy.
Production is where it breaks.
Anyone can stand up an impressive prototype now. Almost no one can get it into production and keep it there. MIT found ~95% of enterprise AI pilots never reach measurable impact, and Gartner expects 40%+ of agentic projects to be cancelled by 2027 over weak governance and data quality.
The bottleneck isn't model capability. It's the gap between a clever notebook and a system the business can rely on: wired into real workflows, integrated with real data, and trusted enough to sign off on.
That gap is what we build across.
of enterprise AI pilots never reach measurable impact
MIT
of enterprises actually run their AI agents in production
Industry, 2026
of agentic AI projects at risk of cancellation by 2027
Gartner
Native AI,
built end to end
We're builders, not slide merchants. Most engagements start with one of these and grow from there.
AI strategy & roadmap
A clear-eyed read on where AI actually earns its keep in your business. We map your processes and decisions, score the opportunities by value and feasibility, and hand you a roadmap your leadership and your engineers both understand, not a deck that dies in a drawer.
Custom AI & agent builds
The core of what we do: native AI built for your business from the ground up. Custom applications, copilots, agentic workflows and automations, designed around your data and your stack, built to ship, not to demo.
Decision & prediction models
Scoring, forecasting, risk, pricing, churn, optimisation: the models that drive real decisions. Built on the Xplainable platform and explainable by default: every prediction carries its own reasons, contributions and confidence.
Deployment, integration & scale
The work that decides whether AI actually ships. We get systems out of notebooks and into your stack: REST API, Python SDK and MCP server, wired into the tools your team already uses, with versioning, keys, monitoring and audit trails from day one.
Trust, explainability & governance
As AI moves into decisions that matter, "just trust the model" stops being good enough. We make AI behaviour visible and defensible with explainable outputs, bias checks, documentation and human-in-the-loop control, so adoption sticks.
Industry-agnostic.
Production-obsessed.
We work across industries: finance, healthcare, retail, energy, logistics, professional services and more. What our clients have in common isn't a sector; it's a moment. You're a good fit if:
If you're trying to move from AI experiments to AI you can rely on, that's the conversation to have.
Across the board
10 sectorsWe build AI you can
actually understand
Anyone can wire up an API and call it AI. Fewer can ship something that survives production, and fewer still can tell you why it does what it does. Our models carry their own reasoning at the architecture level: exact, not a post-hoc guess at a black box.
That matters on every build. AI that's understood gets adopted; AI nobody trusts gets worked around. IDC found teams waste up to a quarter of their automation ROI re-checking outputs by hand.
And we're not a generalist shop renting buzzwords. We build the platform underneath this work, with a background in high-stakes decisioning. When we hand over, your team can run it without us.
Built for production
Shipped systems wired into your stack, not impressive demos that stall at handover.
Explainable by design
Reasons, contributions and confidence built in, so your AI gets trusted and adopted instead of worked around.
Builders + a platform
Senior people who build the product itself, so the capability stays with you when the engagement ends.
Short, scoped, and
pointed at production
No open-ended retainers that drift. Every engagement is scoped to an outcome and a timeframe.
Map
A focused working session to find where AI creates the most value and the least risk in your business. You leave with a prioritised shortlist and a clear next step.
1–2 weeksBuild
We build the system, model or agent against a use case that matters: explainable, documented, and aimed at production from the first line. Outcomes over slideware.
2–6 weeksShip & hand over
We deploy into your stack and hand over something your team can run, defend and extend, not a dependency on us.
Ongoing support optionalCommon
questions
Do we need a data science team to work with you?
What kinds of AI do you build?
Which industries do you work in?
Can you work with the AI we already have?
How is this different from a big consulting firm?
What does an engagement cost?
Let's make your AI
make sense
Tell us what you're trying to build, or where your AI is stuck. We'll tell you what it would take to ship it, and whether we're the right team to help.
