Make rigorous data science the default, not the exception
Every organization sits on data that could drive better decisions, yet the gap between a promising analysis and a trustworthy production system is where most of that value is lost. Medovac exists to close that gap: to automate the data science lifecycle with the governance, correctness, and observability that serious decisions demand.
The team building Medovac
Dr. Elena Vasquez
Co-Founder & Chief Executive Officer
Elena led applied machine learning teams at Google, where she shipped forecasting infrastructure used across advertising and supply operations. She holds a PhD in Statistics from Stanford and founded Medovac to make rigorous data science a default, not a specialty.
Previously: Google, Stanford
Marcus Feldman
Co-Founder & Chief Technology Officer
Marcus was an early engineering leader at Databricks, building distributed query and feature-serving systems at scale. He studied computer science at MIT and architects Medovac's data plane for correctness and speed under regulated workloads.
Previously: Databricks, MIT
Dr. Priya Nandakumar
Chief Science Officer
Priya was a senior research scientist at DeepMind working on probabilistic modeling and causal inference. She holds a PhD from Cambridge and leads the research group that turns academic methods into production estimators inside Medovac.
Previously: DeepMind, University of Cambridge
James Okafor
Chief Product Officer
James built analytics products at Snowflake and advised Fortune 100 data organizations at McKinsey. He translates the needs of analysts, planners, and executives into a platform that any data team can adopt in days.
Previously: Snowflake, McKinsey & Company
Sofia Bergström
Chief Revenue Officer
Sofia scaled enterprise revenue at ServiceNow across EMEA and APAC. She brings a consultative, outcomes-first go-to-market approach and leads Medovac's global commercial organization.
Previously: ServiceNow, Stockholm School of Economics
Dr. Raymond Cho
Chief Information Security Officer
Raymond led security engineering for regulated deployments at Palantir and holds a PhD from Carnegie Mellon. He owns Medovac's security posture, compliance program, and customer trust commitments.
Previously: Palantir, Carnegie Mellon University
Guided by leading researchers
Our advisory board keeps Medovac's methods grounded in current academic research.
Prof. Alan Whitfield
Professor of Machine Learning, University of California, Berkeley
Scalable probabilistic modeling and approximate inference
Prof. Mei-Ling Tan
Professor of Statistics, University of Oxford
Causal inference and experimental design
Dr. Hassan Rahimi
Principal Researcher, Toronto Institute for Data Systems
Distributed query optimization and feature stores
Prof. Clara Nowak
Professor of Computer Science, ETH Zurich
Time-series forecasting and deep sequence models
From YC seed to global platform
2019
Founded in San Francisco
Elena Vasquez and Marcus Feldman start Medovac to automate the data science lifecycle, backed by Y Combinator.
2020
Signal enters production
The automated feature intelligence engine goes live with design-partner deployments in fintech and retail.
2021
Series A and Forecast launch
Sequoia leads a $28M round as probabilistic forecasting ships to enterprise planning teams.
2022
SOC 2 and global expansion
Medovac completes SOC 2 Type II, opens the London office, and crosses 50 enterprise customers.
2023
Series B and the Atlas semantic layer
Andreessen Horowitz leads an $85M round as Atlas brings governed natural-language analytics to the platform.
2024
180+ deployments worldwide
Medovac surpasses 180 enterprise deployments across regulated industries with data planes in four regions.
Cumulative enterprise deployments by year.
Investors who know data
Where we work
San Francisco
United States
535 Mission Street, 14th Floor, San Francisco, CA 94105
Global headquarters
London
United Kingdom
1 Finsbury Avenue, London EC2M 2PF
EMEA operations
Singapore
Singapore
9 Straits View, Marina One West Tower, Singapore 018937
APAC operations
Toronto
Canada
16 York Street, Suite 1500, Toronto, ON M5J 0E6
Research & engineering
Certified for regulated workloads
See Medovac on your own data
Book a technical walkthrough with our field data science team. We will connect a sample of your data and show governed, production-grade intelligence in under an hour.