Advertising + Adtech
AI the world’s largest
agencies run on
We build the AI that connects media spend, audience data, and revenue outcomes.
What We Build in Advertising + Adtech
From campaign production to platform intelligence
Built for Next-Gen Media Intelligence
AI built into the media workflow
Predictive audience modelling, dynamic creative optimization, and automated ROI measurement are built in from the start.
“It's about getting to stronger ideas faster, and reinvesting that time into the thinking and craft that move brands. This isn't about generating AI ads. It's about making sure creativity leads.”
Creative transformation with AI
Frequently Asked Questions
Do you work with agencies or adtech businesses?
Both. Datatonic works with agencies on campaign production and media intelligence, and with adtech businesses on the data infrastructure and model layer that makes their platforms more competitive.
How quickly can you get a production AI system running?
That depends on scope. Most engagements deliver a working increment within weeks. The Velocity Library compresses delivery by drawing on patterns from previous engagements rather than starting from scratch.
How do you handle measurement as cookie-based attribution erodes?
Datatonic builds first-party data infrastructure and modeling that functions independently of third-party cookies, so measurement holds as the attribution landscape shifts.
Can you integrate with our existing ad tech stack?
Yes. Datatonic works with the stack you already have: DSPs, SSPs, CDPs, and clean room environments. The architecture is designed around your existing infrastructure.
What happens after the build?
Datatonic’s AI Academy trains the teams that run the system. AI Operations keeps it running and improving in production. The aim is a system your team owns, not one that creates ongoing reliance on Datatonic.
Move First
Your media data is only valuable if it works together
We connect your spend, audience signals, and performance data into one system, so every decision is grounded in what’s actually working.