Industries we serve
Where We Work

Deep domain expertise
in regulated industries.

We work deepest where data quality, explainability, and regulatory compliance are non-negotiable. Our sector expertise means we understand your systems, your regulators, and your constraints — not just the technology.

Where We Work

Industries where we have domain depth

Four regulated sectors where we've accumulated the deepest expertise — understanding not just the technology, but the legacy systems, governance constraints, and internal politics that shape what is actually possible.

Specialty Insurance
Specialty Insurance

The London Market, Lloyd's syndicates, MGAs, and specialist insurers. We understand the submission workflow, policy wording complexity, claims lifecycle, and the data and governance constraints that shape what AI can actually deliver in this environment.

Underwriting IntelligenceData & AnalyticsClaims IntelligenceRegulatory Compliance
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Financial Services
Financial Services

Banks, asset managers, and financial services firms navigating FCA, PRA, and GDPR obligations. We build data foundations and AI systems that satisfy the dual demands of operational efficiency and regulatory auditability — with explainability built in from the first line of architecture.

Regulatory DataDocument ClassificationAI GovernanceRisk Analytics
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NHS
NHS & Public Sector

NHS trusts, ICBs, and public sector organisations operating under NHS Digital, DSPT, and CQC requirements. We understand the procurement constraints, data governance obligations, and operational pressures that define what is possible — delivering practical AI that fits the reality of public sector delivery.

Clinical AIPatient Data PlatformsOperational IntelligenceDSPT Compliance
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Mid-Market Enterprise
Mid-Market Enterprise

Complex, document-heavy businesses that need AI solutions without the overhead of enterprise consulting. Legal services, professional services, and regulated B2B organisations — where data quality and governance are non-negotiable but budgets require precision rather than scale.

Document IntelligenceData FoundationProcess AutomationAI Governance
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Industry Deep Dive

Specialty Insurance & the London Market

The London Market, Lloyd's syndicates, MGAs, and specialist insurers operate in one of the most document-intensive, regulation-dense environments in financial services. Deep knowledge of submission workflows, policy structures, claims data, and regulatory obligations is foundational to everything we deliver here.

Lloyd's Market MGAs D&O Specialty Lines FCA Compliant

From Blueprint Two digitisation to agentic underwriting workflows, we understand the submission lifecycle end to end — the data, the decisions, the people, and the governance constraints that make change hard.

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Sector Challenges
Manual submission triage consuming underwriter capacity
Policy wording comparison done manually at renewal
D&O risk research taking 4+ hours per submission
Data silos blocking AI-ready data infrastructure
FCA conduct and Lloyd's regulatory obligations on every output
How We Help
AI agent pipelines for submission ingestion, scoring and routing
Clause-level policy comparison with full audit trace
Automated D&O risk research across 8 underwriting vectors
XAI on every output — human-in-the-loop by design
Lloyd's-ready data architecture and governance frameworks
4.2d → 18min
Submission triage time reduced across multi-stage processing workflows
4hr → 5min
Complex risk research time, with full audit trail for underwriters
100%
XAI traceability on every underwriting decision output
Industry Deep Dive

Financial Services & Regulated Finance

Banks, asset managers, and FS firms navigating FCA, PRA, and GDPR obligations. We build data foundations and AI systems that satisfy the dual demands of operational efficiency and regulatory auditability — with explainability built in from the first line of architecture.

FCA Regulated PRA Compliance GDPR Asset Management Capital Markets

Financial services firms face the strictest data governance and model explainability obligations of any sector. Our architecture-first approach ensures every AI system we build can be audited, challenged, and explained — without compromising performance.

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Sector Challenges
Fragmented reference and counterparty data across siloed OMS, PMS, and risk systems, blocking analytics
Model risk management under SS1/23 requiring full explainability and validation documentation for every AI model
MiFID II and EMIR data quality obligations creating significant manual reconciliation and reporting overhead
ESG data gaps and inconsistent third-party attribution data undermining regulatory reporting accuracy
Legacy infrastructure and data silos making AI deployment slow, costly, and difficult to govern
How We Help
Data platform design to unify fragmented reference data and improve cross-system data lineage
AI governance and model risk frameworks aligned to FCA SS1/23 and PRA supervisory expectations
Intelligent document analytics and classification with full audit trail for regulatory submissions
Modern data architecture on cloud platforms, enabling analytics, reporting, and AI deployment at scale
Data quality programmes and master data management to close ESG, reference data, and reporting gaps
60%+
Reduction in manual document classification time
100%
Audit-ready AI outputs with XAI on every decision
3–6 wk
AI-Ready Blueprint delivered — clear roadmap, fixed price
Industry Deep Dive

NHS & Public Sector

NHS trusts, ICBs, and public sector organisations operating under NHS Digital, DSPT, and CQC requirements. We understand the procurement constraints, data governance obligations, and operational pressures that define what is actually possible.

NHS Trusts ICBs DSPT Compliant CQC Ready NHS Digital

Delivering AI in the NHS means navigating DSPT, IG governance, procurement frameworks, and clinical safety obligations simultaneously. We've done it before. We build practical AI that fits the reality of public sector delivery — not what works in a lab.

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Sector Challenges
Electronic patient record fragmentation across legacy EPR systems with limited interoperability
RTT waiting list data quality issues making demand forecasting and capacity planning unreliable
DSPT and Information Governance obligations creating barriers to data access, sharing, and analytics
FHIR and HL7 integration gaps limiting the ability to build unified analytical data estates
Procurement framework constraints (NHS frameworks, G-Cloud) extending technology adoption timelines
How We Help
Unified analytical data platforms designed for NHS data standards and DSPT compliance requirements
Referral triage and pathway analytics to address waiting list pressures and RTT performance targets
FHIR-aligned data integration design to connect fragmented EPR and clinical data sources
AI and data governance frameworks satisfying Information Governance, CQC, and MHRA SaMD obligations
Clinician co-design methodology — building with operational teams, not around them
12 wks
From manual to AI-automated NHS referral triage
DSPT
All patient data architectures built to NHS Digital standard
HITL
Human-in-the-loop mandatory on every clinical AI decision
Industry Deep Dive

Mid-Market Enterprise

Complex, document-heavy businesses that need AI solutions without the overhead of enterprise consulting. Legal services, professional services, and regulated B2B organisations — where data quality and governance are non-negotiable but budgets require precision, not scale.

Legal Services Professional Services B2B Enterprise Regulated Sectors

Mid-market organisations are often caught between off-the-shelf tools that don't fit and enterprise consultancies that over-scope. We deliver precisely what's needed — clear data foundations, targeted AI systems, and full knowledge transfer to your team.

Book a sector briefing →
Sector Challenges
Critical knowledge locked in unstructured documents, email threads, and informal processes — invisible to analytics
Data scattered across disconnected CRMs, spreadsheets, legacy systems, and manual workflows with poor lineage
Multi-regulatory burden (SRA, FCA, FRC, ICO) creating compliance overhead that strains small data and IT teams
AI pilots that produce compelling demonstrations but repeatedly fail to reach production at scale
Accuracy and hallucination risks in AI-assisted professional work requiring robust validation and human oversight
How We Help
Data foundation design to surface and consolidate dark data from disparate operational systems
Intelligent document processing and knowledge extraction from unstructured business content
AI governance and risk frameworks tailored to the regulatory obligations of professional services firms
Fixed-scope data and AI assessments delivering a clear, prioritised roadmap with no open-ended engagement
Full capability transfer — your team owns every system we build, with no vendor dependency
3–6 wk
Fixed-price AI-Ready Blueprint with full implementation roadmap
100%
Knowledge transfer — your team owns every system we build
0
Vendor lock-in — platform-agnostic, open architecture
01 · Principle
AI amplifies people. It does not replace them.

Every system we build is designed to make your experts more powerful, not redundant. The goal is always the same: your best people doing more of what only they can do.

02 · Principle
Production is the only proof.

A demonstration does not transform an organisation. A working system does. Every engagement ends with AI running in your environment — not a deck about what could be built.

03 · Principle
The foundation before the agent.

AI on unprepared data is not a competitive advantage. It is a liability. We always fix the foundation first — because that is where the real value is locked.

Working in one of these sectors?

Working in one of these sectors?

Tell us about your data or AI challenge. 30 minutes. No deck. Just the problem.