Dr. Marcus Whitfield
Chief EconomistFormer Treasury economic adviser. Specialises in labour market dynamics and productivity measurement. PhD in Economics from London School of Economics.
We bridge the gap between technological capability and economic understanding, helping organisations navigate unprecedented market shifts.
Artificial intelligence represents the most significant economic transformation since industrialisation. Yet most organisations lack the analytical frameworks necessary to understand its implications for their operations, markets, and competitive positioning.
Empir Hyper exists to fill this gap. We combine rigorous economic research with deep technological understanding, producing intelligence products that enable strategic decision-making in uncertain conditions.
Every claim we make rests on verifiable evidence. Our methodologies undergo external review, and we maintain transparent documentation of data sources and analytical procedures.
Sensitive commercial information demands protection. We operate under strict non-disclosure protocols and maintain ISO 27001 certification for information security management.
Complex analysis serves no purpose if decision-makers cannot understand it. We translate technical findings into clear strategic guidance without sacrificing precision.
Historical analysis provides foundation, but our clients need foresight. Predictive modelling and scenario planning form core components of all our intelligence products.
Our senior team combines expertise from economics, data science, public policy, and industry operations. This interdisciplinary foundation enables analysis that integrates technical possibility with economic reality.
Former Treasury economic adviser. Specialises in labour market dynamics and productivity measurement. PhD in Economics from London School of Economics.
Led machine learning research at DeepMind before joining Empir Hyper. Expertise in natural language processing and economic forecasting models.
Two decades of management consulting experience across manufacturing, financial services, and healthcare. MBA from Cambridge Judge Business School.
We collect information from multiple authoritative sources: Office for National Statistics, Companies House filings, academic research databases, and proprietary enterprise surveys covering over 340,000 British businesses.
Machine learning models identify correlations and trends invisible to traditional analysis. Natural language processing extracts insights from unstructured data including corporate announcements and regulatory documents.
Quantitative findings enter sector-specific economic models calibrated against historical performance data. Scenario analysis explores implications of varying adoption rates and policy environments.
Senior analysts contextualise model outputs within broader economic narratives. Final deliverables integrate quantitative projections with qualitative strategic guidance.
Empir Hyper emerged from recognition that existing economic research institutions struggled to keep pace with technological change. Traditional think tanks lacked technical depth; technology firms lacked economic rigour.
Founded in 2019, we built a team combining both competencies. Initial work focused on automation risk assessment for manufacturing firms. Client demand quickly expanded our scope to cover all aspects of AI economic impact.
Today we serve clients across the UK economy, from emerging technology ventures to FTSE 100 corporations to governmental bodies seeking evidence-based policy guidance.
Founded in London with focus on manufacturing sector analysis
Expanded to cover financial services and healthcare sectors
Launched quarterly Economic Forecast Reports product line
Opened Manchester office to better serve Northern England clients
Discover how our research capabilities can inform your strategic planning. Schedule an initial consultation to discuss your analytical needs.
Contact Our Team