Build a competitive advantage with AI
We build AI systems that improve productivity, enhance customer experiences and enable new products and services
Businesses we've worked with
AI is everywhere.
Clarity isn't.
You know AI matters. But between the hype and the vendor pitches, three things keep getting in the way.
Every department has a wishlist. Every vendor has a pitch. None of it adds up to a roadmap and the longer you stall, the more it feels like everyone else has figured this out except you.
The use case and ROI is clear. Every engineer who could build it is already buried in the roadmap you have and watching the right project rot on a backlog while competitors ship is its own kind of failure.
Your team is world-class at what your business actually does. None of it is AI engineering and the gap between what you need to know and what you can hire for is getting wider, not smaller.
Three steps to AI in your business.
Discover opportunities.
5 minutes, 8 questions. A tailored shortlist of the highest-impact AI builds for your business.
Build a Strategy.
We validate each opportunity, surface new ones, and build a roadmap for implementation focusing on the greatest ROI first.
We deliver it.
One team from first sprint to live systems. Maintained for as long as you keep us around.
Rather speak to a human? Book a discovery call
We're built for deep businesses, not generalists.
We don't work with everyone, and that's deliberate. The teams we do our best work with tend to share three things.
You're world-class at something hard.
Your product or service runs on real depth — engineering, science, regulation, decades of domain knowledge. That expertise is exactly what makes AI valuable in your business, and exactly what generic tools can't replicate.
You have more opportunity than capacity.
You might not know where to start, but you see the potential. Everyone who could act on it is already committed. You don't need convincing that AI matters — you need people who can turn the options into a roadmap and ship it.
You'd rather have a partner than a hiring problem.
Building an in-house AI team is slow, expensive, and hard to judge when it isn't yet your expertise. You want senior people who've done this before, working alongside your team for as long as it's useful.
We're probably not your team if you want a quick off-the-shelf chatbot, the cheapest possible quote, or a supplier you hand a brief to and never speak to again. That's genuinely fine — it's just not how we work.
Four ways AI creates
real value in your business.
AI can do a hundred things. Most of them won't move a number on your P&L. These four will. The work is knowing which one fits your business right now.
Productivity gains from agentic workflows
Put autonomous agents to work across your value chain. Agentic workflows manage multi-step processes end to end — pulling data, making decisions, triggering actions, and looping in humans only when it really matters.
- Multi-step workflows automated from trigger to outcome, not just a single task.
- Your team's time back, so they focus on high‑value judgement and client work.
- Visible, measurable gains in speed, error rate, and throughput within weeks.
Enhanced customer experiences for B2B clients
Use AI to give every client interaction the context of your best account manager. Systems that remember history, understand intent, and adapt next steps in real time turn generic journeys into personalised experiences for each account.
- Smart assistants that respond with the right detail, in the right tone, for each customer.
- Proactive workflows that spot risks and opportunities in your client portfolio before your team do.
- Consistent, high‑quality experiences even as you scale headcount and complexity.
New products that don't cannibalise your core
Turn your expertise into SaaS products that extend, rather than replace, your existing services. Package your domain knowledge into tools your customers can use every day, while your team focuses on higher‑margin advisory and implementation.
- Co-owned or white‑label AI products that plug directly into your current offers.
- "Always‑on" software that makes your services stickier and increases share of wallet.
- Clear separation between product and services, so you grow MRR without eroding core revenue.
Better use of data, old and new
Start making predictions with the data you already have, then fuse it with public and third‑party sources for a sharper edge. AI models turn fragmented operational data into foresight your team can act on every day.
- Forecasts built from your historical transactions, behaviours, and operations data.
- Enriched with external signals like market data, competitor activity, or regulations where it helps.
- Live dashboards and alerts that put those predictions in the tools your team already uses.
Elliott Prince
Managing Director, Co-Founder
Ali Nadian
Technical Director, Co-Founder"A decade of production AI taught us what works. We bring that to every project."
The team you meet is the team that does the work.
Other businesses might sell you a pitch from their best people, then hand the actual work to whoever's free. Usually juniors, with a manager in the middle to translate. You pay for seniority and get a layer of overhead instead.
We don't work that way. The people who scope your problem are the people who build the solution. Every one of us has shipped this kind of work before, often enough to know what's worth doing, what isn't, and where the real difficulty hides. You won't be anyone's training exercise, and you won't spend your time briefing an account manager who then briefs someone you never meet.
That means we can move fast: compress a sprawling wishlist into a roadmap, build the things your own team would keep shelving, and bring the expertise rather than ask you to go hire it.
We've spent a decade on production AI across a range of sectors, refining one method the hard way and engineering it with The Science of AI™.
Every business is climbing this ladder. The only question is how fast.
Your competitors started climbing this ladder before you opened this page. The ones at Level 3 are recovering margin you've already given up. The ones at Level 4 have built capabilities you can't copy without rebuilding from scratch. The ones at Level 5 are writing the rules of your industry's next decade.
Starting from scratch
Your business hasn't started using AI in any structured way. A valid starting point, and it means there's a clear path ahead with quick wins available.
Knowledge on demand
AI searches, summarises and surfaces knowledge from your internal documents, policies and datasets. Typically delivered through RAG systems that connect language models to your existing information.
One task at a time
At least one discrete task within a workflow is performed by an AI-enabled system. A human still owns the process end to end, but repetitive steps are handled by AI.
Humans review, AI executes
The majority of steps in a process are performed by AI-enabled systems working together. Human involvement shifts from doing the work to reviewing outputs and handling exceptions.
Designed around AI
The process was designed from the ground up to be completed by AI agents. Rather than retrofitting AI into existing workflows, the entire operation is architected around what AI does best.
New Value Creation
AI enables entirely new products, services or revenue streams that were not possible before. The business creates value that could not exist without AI at its core.
AI Readiness Assessment
Not sure where you sit on the ladder?
Builds we've delivered.
See our most recent case studies below or view them all to see our work across ad tech, industrial, property tech, and SaaS.
Three steps.
Start with one.
Find your best starting point in 5 minutes — or talk to a co-founder. Whichever fits where you are.