NovaMetrica is a global research and analytics firm specializing in advanced methodological consulting, data-driven decision support, and capacity building. We empower organizations across sectors — including academia, government, non-profits, and the private sector — to solve complex problems using evidence, rigor, and clarity.
With a foundation in scientific precision and real-world expertise, our team works at the intersection of research design, data analytics, and statistical innovation. We offer end-to-end support — from developing culturally sensitive survey instruments and conducting rigorous user research, to building predictive models and training research teams worldwide.
Our approach is deeply collaborative and solutions-oriented. Whether launching a national study, optimizing user experience, or strengthening institutional research capacity, we tailor every engagement to the specific goals, contexts, and challenges of our clients.
NovaMetrica is a global research and analytics firm specializing in advanced methodological consulting, data-driven decision support, and capacity building. We empower organizations across sectors — including academia, government, non-profits, and the private sector — to solve complex problems using evidence, rigor, and clarity.
To become a globally trusted leader in data-driven innovation by redefining how organizations understand and use information — bridging advanced analytics, rigorous research, and intelligent technology to transform complexity into clarity.
NovaMetrica envisions a future where strategic decisions across industries are consistently guided by reliable evidence, scalable insights, and forward-looking intelligence, enabling organizations to navigate uncertainty, drive sustainable growth, and create meaningful impact in an increasingly data-centric world.
AI-enhanced analytical frameworks designed for academic and institutional research environments.
Automated analysis of large-scale research corpora, identifying key trends, methodological patterns, and knowledge gaps across academic disciplines.
Systematic evaluation of research designs, providing evidence-based recommendations for enhancing study validity and reliability.
Advanced algorithmic frameworks for identifying potential sources of bias in data collection, analysis, and interpretation processes.
Statistical forecasting tools leveraging historical research patterns to support strategic planning and resource allocation.
Explore AI Capabilities
Partner, Chief Methodologist & Statistician
Partner, Chief Technology Officer
Director of Data Sciences
