Industries

Where getting AI wrong is expensive.

We focus on sectors where data, money or people’s wellbeing are on the line, and where our founders have built and run real systems. Every engagement starts by understanding your industry’s rules before touching your technology.

Financial services and fintech

AI in payments, lending, collections and investments must be explainable, auditable and never the only control on money.

Where we focus

  • Explainable, logged AI decisions
  • Payment and collections integrations
  • UK GDPR, POPIA and PCI DSS
Fintech and regulated industries →

SaaS and software companies

Customers expect AI features now. Shipping them without mixing up customer data or doubling hosting costs is the hard part.

Where we focus

  • AI features customers will pay for
  • Strict separation of customer data
  • Usage-based pricing that covers AI cost
SaaS platform modernisation →

Health and care

Patient and clinical information demands privacy, accuracy and human oversight that most AI tools do not provide out of the box.

Where we focus

  • Privacy by design
  • Answers grounded in approved sources
  • People in control of every decision
AI integration and automation →

Gaming and high-volume platforms

Real-time systems where milliseconds, uptime and fraud controls decide revenue, and AI has to keep up without adding risk.

Where we focus

  • Low-latency AI at scale
  • Fraud and risk signals
  • Cost control at high volume
Azure cloud and platform →

Education

Student support, admissions and knowledge services at scale, with accuracy and safeguarding that cannot be left to chance.

Where we focus

  • Trusted self-service answers
  • Safe handover to staff
  • Content kept current
FAQ Hub →

Logistics and operations

Quotes, bookings and customer service spread across systems that were never designed to work together, let alone with AI.

Where we focus

  • Automation across existing systems
  • Calls and emails turned into actions
  • Human sign-off on commitments
AI integration and automation →

Find out what is stopping your AI from reaching production.

In two to three weeks, our AI readiness assessment gives you a score across six areas, your risks ranked by impact, a target architecture and a costed 90-day roadmap.