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© 2026 Adrsta AI. All rights reserved.

Built for modern marketing teams.

AI-Native Marketing Science Platform

The platform that makes marketing decisions scientifically defensible.

Adrsta is an AI-native marketing science platform — three specialized agents working together to plan, optimize, experiment, and measure with causal rigor.

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No third-party data required$50M+ media spend optimized94% avg model confidence

The problem

Marketing teams are drowning in dashboards and starving for signal.

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

Three specialized agents. One unified platform.

Always-on media mix modeling

MMM Agent

Continuously updated models that decompose channel contribution and surface budget allocation recommendations — backed by Bayesian inference, not guesswork.

12+

Channels modeled

30%

Avg efficiency gain

Explore MMM Agent

First-party bid optimization

Bid Optimizer Agent

Injects your proprietary customer signals — lead quality, LTV, conversion propensity — directly into the bidding layer so campaigns optimize for your real business outcome.

22%

Lead quality lift

20%

CPA reduction

Explore Bid Optimizer Agent

Causal incrementality measurement

Synthetic Control Agent

Constructs a rigorous synthetic counterfactual to measure true incremental lift from any campaign — without wasted holdout spend or months-long test windows.

18%

Avg incremental lift

94%

Statistical confidence

Explore Synthetic Control Agent

What makes us different

Built for how modern marketing actually works.

AI-Native Architecture

Every model in Adrsta is AI-first — continuously learning, automatically recalibrating, and surfacing recommendations without manual re-runs.

First-Party Data Activation

Connect your CRM, data warehouse, and offline signals. Adrsta turns proprietary data into competitive measurement advantages.

Privacy-Safe Measurement

Built for a cookieless world. Every measurement approach in Adrsta is designed to work with your own data — no third-party identifiers required.

Causal, Not Correlational

Platform attribution tells you what happened. Adrsta tells you why. Every insight is grounded in causal inference — not last-click correlation.

Trust & Scale

Built for teams that demand rigor.

200+ experiments run on the platform
$50M+ in media spend optimized
30+ enterprise and growth teams
94% average model confidence
SOC 2 Type II in progress
No third-party data required

Our Team

Built by marketing science and AI experts.

Adrsta brings together experience in marketing science, experimentation, AI, and enterprise-scale measurement systems.

Ved Prakash — Founder & CEO, Adrsta AI

15+ yrs

AI, data science & marketing

Meta

Led marketing science, agency partnerships

Founder & CEO, Adrsta AI

Ved Prakash

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:

The Home Depot
The Home Depot
American Express
American Express
Starbucks
Starbucks
PwC
PwC
BlackRock
BlackRock
Lidl
Lidl
Aldi
Aldi
Coca-Cola
Coca-Cola
Publicis
Publicis
IPG
IPG
Meta
Meta
LinkedIn Profile
Adrsta Platform

One platform for every marketing science decision.

From planning to measurement. Book a demo and see all three agents working together in your marketing stack.

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