The agentic marketing platform that moved the marketing to your data, instead of dragging your data to the marketing.
It is a Tuesday morning at a consumer brand you have probably bought something from. A lifecycle marketer notices a weather front rolling toward the Northeast. By the time she has read the headline, an agent inside her marketing stack has already flagged the affected segment, drafted the offer, and queued it for her approval. She clicks once. The campaign goes out. Her coffee is still warm.
That agent works for Simon AI. The company spent over a decade as Simon Data, a customer data platform with a tidy reputation and a tidier name. In September 2025 it dropped the “Data” and picked up the “AI,” which is either a bold repositioning or the most fashionable two letters in software. The product underneath is harder to dismiss: an AI-first, composable CDP with agents that read live customer data, reason over it, and act.
Here is the open secret of modern marketing: companies spent the last fifteen years buying data infrastructure. Warehouses, lakes, pipelines, a 360-degree view of every customer. They spent millions. And then the marketing team filed a ticket and waited three weeks for an export.
The data sat in one place. The marketing happened somewhere else. Bridging the two meant copying everything into a separate tool, where it went stale the moment it arrived. The result was a strange kind of wealth - rich in data, poor in outcomes. Marketers had a 360-degree view of customers they could not actually act on.
Simon's founders, two data scientists, found this genuinely annoying. Annoyance, it turns out, is an underrated startup fuel.
Jason Davis and Matt Walker met while grinding out PhDs in machine learning. Davis had done time at Apple and Google. Together they had already built and sold a startup to Etsy, which is the kind of line that makes investors return your calls. In 2013, with Joshua Neckes, they started Simon.
Their bet was unfashionable at the time and obvious in hindsight: stop moving the data. Run the marketing where the data already lives - inside the customer's own warehouse. The industry later gave this a name, the “composable CDP,” and acted as though it had been the plan all along. Simon was making the argument before it had a buzzword to hide behind.
The Agentic Marketing Platform is built on a simple reframe: a marketer should describe a goal, not assemble a query. Behind that goal sit agents with access to live customer and contextual data in the data cloud. They detect hidden signals - churn risk, demand spikes, inventory shifts, weather, social trends - and turn messy data into campaign-ready attributes.
Goal-based building with Blueprints (reusable playbooks), AI Fields (new attributes) and AI Moments (real-world triggers).
Detect signals, prep data, and orchestrate cross-channel activation across Braze, Attentive and Iterable.
Runs on the customer's existing warehouse - no copying data into yet another silo to watch it go stale.
The reasoning layer the agents run on, live inside the data cloud where the customer record already lives.
Skepticism is healthy here - “AI agents for marketing” is a sentence that has launched a thousand vaporware decks. So the numbers matter. SeatGeek used Simon AI agents to match fans against thousands of events and reported a 70% performance lift. The customer roster skews toward brands that do not hand out logos lightly.
The partnerships read like an admission of the strategy. Snowflake (where the data lives), Braze and Attentive and Iterable (where the messages go out). Simon is a Snowflake Elite AI Partner, a Braze Alloys Gold Partner, and a one-time Gartner Cool Vendor. The company is not trying to own every channel. It is trying to be the brain between the warehouse and the channels.
The stated mission is to empower customer marketing teams with the data, tools and support to drive 1:1 personalization across every touchpoint. The unstated mission is quieter and more human: give the marketer back the three weeks she used to spend waiting on a data export.
It is a values-driven shop - respect everyone, listen and share, take ownership, learn and develop, build strategically. The kind of list every company writes. The difference, if there is one, is that Simon's founders are data scientists who built the tool they themselves wanted, which tends to keep a product honest.
For twenty years, marketing software sold dashboards - a place to look at your data and feel informed. Simon AI is betting the next twenty years sell agents - things that look at the data so you do not have to, and then do something about it. If that bet is right, the dashboard becomes a relic, the way the fax machine became a punchline.
Now, back to that Tuesday morning. The marketer with the warm coffee did not build a query. She did not file a ticket. She did not wait three weeks. She approved a campaign an agent had already prepared from data that never left her company's warehouse. That is the whole pitch, compressed into one click. Whether the rest of marketing follows is the open question - but Simon spent twelve years and $117.8 million to make sure the door was unlocked.