2026 - Who We Are

UK-Based Data and AI Consultancy

We are a UK-based data and AI consultancy that builds practical, production-ready AI solutions for complex business environments. Our founders are lecturers affiliated with Oxford University and field experts in AI, combining academic excellence with hands-on industry delivery experience.

Our core team brings together economists, data scientists, and AI engineers, allowing us to solve both technical and commercial problems end-to-end.

Who we are

Mission and vision

Our company aims to revolutionise data and AI, delivering innovative solutions for business transformation. We empower enterprises by integrating intelligent systems that boost operational efficiency and drive strategic insights for sustainable growth. Our seasoned professionals guide clients through digital transformation with deep expertise and long-term partnerships.

What we do

  • Design and deliver AI agents for domain-specific workflows (HR, wealth management, macroeconomic analysis, and more).
  • Build and deploy AI automation solutions that remove manual effort and reduce operational cost.
  • Integrate AI into existing systems and platforms with minimal disruption to business operations.
  • Apply advanced AI technologies - GenAI, machine learning, natural language processing, and computer vision - to real business use cases, not just proofs of concept.
Team strengths

Cross-disciplinary, delivery-focused expertise

Academic pedigree

Founders and senior experts with teaching and research experience at Oxford and other Russell Group universities.

Cross-disciplinary expertise

Economics, quantitative finance, data science, and software engineering in a single team.

End-to-end delivery

From problem definition and data strategy to model development, integration, and ongoing optimisation.

Sector experience

Healthcare, financial services, retail, manufacturing, and HR/process-heavy functions across industries.

Portfolio overview

Production AI with measurable business outcomes

a) AI HR Agent (Enterprise HR Automation)

Problem: HR teams were overwhelmed by repetitive employee queries and manual admin (payslips, time-off, letters), leading to slow response times and high support costs.

Solution: We delivered an AI-powered HR agent integrated with existing HR and payroll systems. The agent understands natural language queries, retrieves the right information, triggers workflows (for example, time-off bookings), and generates standard HR documents.

Impact (measurable outcomes):

  • Automated approximately 85% of manual tasks related to payslip issues, time-off bookings, and letter creation.
  • Achieved around 40% reduction in HR operational costs.
  • Delivered roughly 75% reduction in HR support tickets reaching human staff.

Technologies and capabilities:

  • Enterprise-grade GenAI for conversational interfaces.
  • Workflow orchestration and integration with HRIS/payroll platforms.
  • Role-based access control and auditability for HR compliance.

b) Wealth Management AI Agent

Problem: Wealth managers and advisors spent significant time preparing for client meetings and building personalised investment proposals, limiting the number of clients they could effectively serve.

Solution: We built a wealth management AI agent that ingests client profiles, risk preferences, and market data to prepare concise briefing packs and draft personalised investment plans. Advisors stay in control, while the agent completes most of the data gathering and first-draft analysis.

Impact (measurable outcomes):

  • Cut preparation time by a factor of 2-3x per client review.
  • Delivered approximately 15% overall efficiency improvement in producing personalised investment plans.

Technologies and capabilities:

  • Machine learning models for portfolio profiling and recommendation support.
  • Natural language generation for clear, client-friendly summaries.
  • Secure handling of financial and personal data.

c) AI-powered Macroeconomic Intelligence

Problem: Executives and strategy teams struggled to turn massive, fast-moving macroeconomic datasets into clear, timely decisions.

Solution: We created an AI-powered macroeconomic intelligence platform that ingests large volumes of economic indicators, reports, and news, then distils them into executive-ready insights. Users can query the system in natural language and receive structured, scenario-based analysis.

Impact (qualitative outcomes):

  • Transformed large, fragmented economic data into strategic, decision-ready insights for leadership teams.
  • Improved speed and consistency of macroeconomic analysis for strategy, risk, and investment committees.

Technologies and capabilities:

  • Advanced time-series and econometric modelling combined with GenAI summarisation.
  • Domain-specific knowledge graphs for macroeconomic relationships.
  • Interactive dashboards and conversational interfaces for non-technical users.
Technology stack

Enterprise-grade, vendor-agnostic delivery

We work with a modern, enterprise-grade AI and cloud stack so we can deploy solutions in the environments our clients already trust. We are vendor-agnostic but experienced across IBM watsonx, Azure, AWS, Anthropic, and leading open-source models, so we choose the right stack for each client rather than forcing a single platform.