Adrsta is an AI-native marketing science platform — three specialized agents working together to plan, optimize, experiment, and measure with causal rigor.
The problem
Every ad platform claims credit for the same conversion. MMM reports arrive quarterly — after the budget is already spent. Holdout tests require pausing campaigns. Incrementality is a buzzword in most decks and a science in very few.
Adrsta is built for a different way of working: continuous, causal, and AI-driven — so your team always knows what's actually working and what to do next.
Platform Agents
What makes us different
Every model in Adrsta is AI-first — continuously learning, automatically recalibrating, and surfacing recommendations without manual re-runs.
Connect your CRM, data warehouse, and offline signals. Adrsta turns proprietary data into competitive measurement advantages.
Built for a cookieless world. Every measurement approach in Adrsta is designed to work with your own data — no third-party identifiers required.
Platform attribution tells you what happened. Adrsta tells you why. Every insight is grounded in causal inference — not last-click correlation.
Trust & Scale
Our Team
Adrsta brings together experience in marketing science, experimentation, AI, and enterprise-scale measurement systems.

15+ yrs
AI, data science & marketing
Meta
Led marketing science, agency partnerships
Founder & CEO, Adrsta AI
Ved Prakash is the Founder and CEO of Adrsta, an AI-native measurement and optimization platform that helps advertisers understand and improve the true business impact of their marketing investments. Adrsta combines causal inference, experimentation, machine learning, and AI-driven insights to help enterprise marketers make faster, more confident decisions in an increasingly privacy-centric ecosystem.
Prior to founding Adrsta, Ved led Marketing Science for Agency Partnerships across North America at Meta, where he designed and scaled measurement solutions including Marketing Mix Modeling (MMM), incrementality testing, geo-lift experimentation, and brand measurement across a multi-billion-dollar portfolio of advertisers and agencies. In that role, he worked closely with some of the world's largest marketers and agency holding companies to improve measurement rigor and marketing effectiveness.
Earlier in his career, Ved held analytics, data science, and product leadership roles at PwC and leading brands including American Express, Starbucks, and The Home Depot. Across these roles, he built machine learning products, advanced analytics capabilities, and decision systems that translated complex data into measurable business outcomes.
Today, Ved brings more than 15 years of experience at the intersection of AI, data science, product development, and marketing transformation. His expertise spans AI-powered products, causal inference, experimentation, marketing measurement, and enterprise go-to-market strategy. He is particularly passionate about helping organizations adopt emerging technologies and turn sophisticated analytics into practical business decisions.
Experience across leading brands and platforms including:








From planning to measurement. Book a demo and see all three agents working together in your marketing stack.
No commitment required.