Built for your domain.

Domain depth

Sectors where we know the pitfalls.

Domain depth shortens the discovery sprint. We’ve passed the audits and made the mistakes you’d rather skip.

01 · Fintech & risk

AI that handles money seriously.

In financial services, a wrong answer is a compliance event, not just poor UX.

Hallucinations cost money · Explainability is a compliance requirement · Data is sensitive and siloed · Model drift in market shifts

Explore Fintech & risk →

02 · Healthcare & clinical AI

AI where getting it wrong is not an option.

In healthcare, AI has to be safe and provable before it is clever.

HIPAA is a hard constraint, not a checkbox · Clinical AI must explain itself · Heterogeneous data formats · Human-in-the-loop is non-negotiable

Explore Healthcare & clinical AI →

03 · Telecom & comms

AI for networks that never sleep.

Telecom runs on margins, scale, and uptime.

Data volume at telecom scale · Real-time latency requirements · Legacy system integration · Regulatory data residency

Explore Telecom & comms →

04 · E-commerce & retail

AI that sells, not just suggests.

In retail, AI earns its keep in conversion, basket size, and margin.

Catalogue scale breaks rule-based systems · Relevance is not recall · Personalisation without creepiness · Cold-start for new products

Explore E-commerce & retail →

05 · Real Estate & Proptech

AI that understands property.

Property decisions ride on data that is messy, unstructured, and high-stakes.

Valuation requires explainability · Property data is heterogeneous · Lease documents are long and complex · Market signals change fast

Explore Real Estate & Proptech →

06 · AI-native SaaS

Ship AI features that users actually keep.

For a SaaS business, an AI feature has to lift activation, retention, and expansion, not just ship.

AI features that impress in demos fail in production · Prompts are product logic · Context window management · LLM cost scales with success

Explore AI-native SaaS →