Services

Forward-deployed innovation for regulated industries.

We embed senior AI engineers inside your business, ship production systems in weeks, and price on milestones so our fees ride on your outcome. Built for teams that can't compromise on compliance or speed.

Most enterprise AI projects die before they ship.

You've seen this before. Maybe more than once. Here's what usually kills them.

Scoping creep.

The original brief was clear. Eighteen months and three change requests later, the thing that was supposed to ship is still a slide deck.

Procurement paralysis.

A Big Four proposal arrives at six figures before anyone's written a line of code. Legal spends three months on the MSA. You're paying for risk aversion, not output.

Offshore quality gap.

A cheaper shop ships something that works in staging and falls over in production. Your compliance team rejects it. You're back to square one, minus a quarter.

How we price

Milestone pricing. Skin in the game.

Most of our competitors charge for time. We charge for outcomes, in three tranches. If we miss a milestone, we don't invoice it. Simple.

See a sample engagement
30% Deposit
30% Prototype
40% Delivery
  • 30On kickoff. Covers scoping, architecture, team allocation. Non-refundable once work begins.
  • 30On prototype sign-off. Working proof of concept in your environment, against your data, reviewed by your team.
  • 40On production delivery. Integrated, deployed, documented, and handed over. No payment until it's live.
The engagement framework

Four stages. No drama.

Every engagement runs through the same four stages. You know what's happening, when, and what comes next.

01 / DISCOVER

Find the highest-leverage problem.

Workshops, data audits, and blunt conversations with the people who'd use the thing. No 80-slide decks.

Week 1 to 2
02 / CO-CREATE

Build the smallest thing that proves it works.

Rapid prototype, in your environment, against your data. Reviewed with your team, not shown off.

Week 3 to 6
03 / BUILD

Production, properly.

Scalable architecture. Audit logging. Compliance sign-off built in. We integrate with what's already there.

Week 6 to 12
04 / SCALE

Deploy, measure, transfer.

Live, monitored, documented. Your team takes it from here, or we stay on retainer. Your choice.

Week 12+

Built for your industry. Not generic AI consulting.

We work where compliance, speed, and operational realities matter most.

AI that survives the compliance review.

Financial services AI has to pass audit, not just unit tests. We've built systems for document processing, risk scoring, and fraud detection that hold up to regulatory scrutiny because that's how we scope them from day one.

  • Automated KYC and document extraction at scale
  • Transaction risk and anomaly detection
  • Client onboarding and underwriting automation
  • Explainable AI for regulated decisioning
See fintech case studies

Compliance posture

GDPRBuilt in
Data residencyEU / US options
Audit loggingDefault on
Model explainabilityPer engagement
SOC 2 alignmentRoadmap

AI for operators, not just players.

iGaming runs on milliseconds and licences. We build AI that speeds up player operations (KYC, AML, player protection, personalisation) without putting the licence at risk. And we're close to the best AI startups in the sector through the ventures we back.

  • Player KYC, AML, and responsible gaming automation
  • Behavioural risk and fraud detection
  • Personalisation and retention engines
  • AI-driven marketing creative and compliance checks
See iGaming case studies

Operator readiness

MGA-alignedYes
UKGC-awareYes
Responsible gamingBuilt in
Integration speedDays via OneHazel

Moderation and personalisation at scale.

Content platforms live and die on what they let through and what they surface. We build moderation and recommendation systems that operate at platform scale, survive regulator scrutiny (DSA, Ofcom, national regulators), and actually work in the languages you operate in.

  • AI content moderation across text, image, and video
  • Multilingual classification and recommendation
  • Creator tooling and automated metadata
  • DSA and platform compliance reporting
See media case studies

Platform posture

DSA alignmentBuilt in
MultilingualYes
ScaleTens of millions / day
Appeals workflowOptional

AI-accelerated software testing.

Regression suites are the first thing to go when deadlines slip and the last thing engineering wants to write. We build computer vision and LLM-driven test automation that doesn't require maintaining brittle selectors or chasing flaky tests.

  • Computer vision-guided UI testing
  • LLM-driven test case generation from specs
  • Self-healing test suites
  • Visual regression and accessibility checks
See testing case studies

Engineering fit

CI/CD integrationYes
Stack-agnosticYes
On-prem optionAvailable
Flakiness baselineMeasured upfront

Three ways to engage.

Start small or go deep. All three use the same milestone-based pricing.

4 WEEKS

Discovery Sprint

A focused four-week engagement to turn "we should do something with AI" into a scoped, costed, validated first project.

Best for Teams exploring AI options with no clear first use case.
ONGOING

Innovation Partnership

A monthly retainer that gives you embedded AI capability across multiple projects. Priority access to our engineers and our ventures.

Best for Enterprises with a continuous AI roadmap, not a one-off project.
FAQ

The questions we actually get asked.

How senior are the engineers you embed?

Every engagement is led by a senior engineer with prior production AI experience. We do not staff juniors as primaries. If a junior is on a project, a senior is accountable for their output.

Remote, on-site, or hybrid?

Default is hybrid. We work remotely day to day and spend anchor weeks on-site during Discovery and integration. On-site only is available for engagements where that's a compliance requirement.

Who owns the IP?

IP terms are engagement-specific and agreed upfront. For most build engagements, you own the deliverables and we retain rights to our underlying methodology and internal frameworks. For co-developed products, retainer work, or Innovation Partnerships, the split may look different. Whatever we agree sits on page one of the engagement letter, not buried in a schedule.

What if we fail a milestone?

We don't invoice it. If the prototype doesn't work, you don't pay the second tranche. We eat the cost. That's what milestone pricing means.

How fast can you start?

Two to four weeks from signed engagement letter, depending on team availability and your onboarding process. We do not overbook.

What's explicitly out of scope?

We don't build foundation models. We don't do pure strategy decks without a build. And we don't take on engagements where the outcome is "feel better about AI" rather than ship something measurable.

Ready to ship something?

Thirty-minute discovery call. No deck. We'll tell you in plain English whether we're the right team for the job.