Simon Data Launches Composable AI Agents for Marketers
Simon Data’s new Composable AI Agents give marketers hands-on control to uncover insights, personalise campaigns, and automate actions at scale.
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Simon Data, the AI-first composable CDP built for modern marketing teams, has announced the launch of Composable AI Agents for marketers.
Simon’s Composable AI Agents, built natively on Snowflake Cortex AI and powered by Claude from Anthropic, introduce a new operating model that provides marketers with direct, governed access to explore, identify, and activate data for personalisation without requiring code or relying on data teams.
Despite significant investments in analytics resources and marketing clouds with integrated data platforms, most marketers still lack visibility into what data is missing, let alone how to act on it. They lack the insight into subtle behavioural patterns, emotional cues in support conversations, and real-world contextual triggers.
Simon’s agents help by uncovering data that marketers already have but can’t easily access, along with new contextual signals they couldn’t reach before. These insights are then put to work instantly across campaigns.
This streamlines marketing workflows, closes the gap between planning and doing, and makes it easier to deliver personalised, timely marketing at scale.
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“Marketers have been told for years that personalisation was solved, but the reality has been static segments, brittle workflows, and missed customer moments,” said Jason Davis, CEO and Co-Founder of Simon Data.
“Composable AI Agents shift that reality, giving marketers direct access to context, decisioning, and execution. It’s a new foundation for modern marketing that is faster, more insightful, and finally in the marketer’s control.”
Composable AI Agents are modular, task-specific software components powered by AI. Each one performs a discrete function to automate complex marketing workflows: analysing sentiment, identifying high-intent behaviours, modelling micro-audiences, or triggering personalised campaigns based on real-time context.
They can be reused, combined, and adapted to support different goals. This creates a dynamic, AI-powered marketing system that works like a virtual, always-on data and ops team, helping marketers move from insight to execution with minimal lift.
Simon’s agents run entirely inside the Snowflake environment. That means data, prompts, and activation all happen in place, under full enterprise governance, observability, and control. There’s no data movement, no black-box logic, and no compromise on speed or scale.
With Composable AI Agents, marketers gain hands-on control over signals and execution logic. Even small teams that once waited weeks for data pulls or SQL queries can now operate with the speed and precision of organisations with far more resources.
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“Past systems weren’t built for real-time insight or activation, which made personalisation hard to scale,” said Matt Walker, CTO and Co-Founder at Simon Data.
“Simon has changed that by bringing reasoning, context, and execution directly into the data layer for marketing to use. It’s a fundamental technical shift that enables a new operating model.”
Simon’s implementation demonstrates the benefits of using Snowflake AI Data Cloud architecture to compose a data and AI stack, paired with Anthropic’s advanced AI models. Simon’s agents align directly with a shared vision for secure, governed AI in the enterprise.
“Simon’s implementation of Composable AI Agents is a strong example of what’s possible when applications are built natively in the Snowflake AI Data Cloud,” said Jeff Hollan, Head of Cortex AI Agents & Apps, Snowflake.
“By combining real-time data access with the flexibility of Snowflake Cortex, Simon empowers marketers to discover and activate data, while giving data teams confidence that everything runs within their governance and observability frameworks.”
Three Types of Composable AI Agents:
- Insights Agents analyse all customer interactions to find valuable campaign opportunities using Claude’s advanced reasoning capabilities
- Data Agents use AI-generated “Smart Fields” technology to transform contextual data into actionable customer attributes
- Automation Agents execute campaigns using this deep contextual understanding, automatically creating and optimising hundreds of adaptive micro-targeted campaigns.
Once Simon’s Composable AI Agents surface the right signals and create the audience logic, they automate the flow directly into customer engagement platforms, such as Braze, Attentive, Iterable, and others. The output is campaigns enhanced with intelligence far beyond traditional audience segmentation.
Rather than pre-scheduled blasts or static journeys, Simon enables message delivery that aligns with the behaviours, sentiment, and context driving each customer’s decision. These rapid, high-impact campaigns result in critical business outcomes like winbacks, upsells, cross-sells, and repeat purchases.
ALSO READ: Simon Data, Snowflake Partner To Aid Marketers With Data Capabilities
