Simon’s Composable AI Agents deliver new levels of insight, creative control, and speed to launch—surfacing hidden customer signals and real-world context to unlock true 1:1 personalization at scale

Simon Data, the AI-first composable customer data platform built for modern marketing teams, 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 personalization without requiring code or relying on data teams.

As AI reshapes marketing and customer expectations accelerate, teams face a monumental opportunity—and intense pressure. They are expected to move faster, understand more, and execute with precision at scale to drive growth. 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 behavioral patterns, emotional cues in support conversations, and real-world contextual triggers.

Simon’s Composable AI Agents bring reasoning, context, and execution directly into the data layer for marketing to use.

Simon’s agents solve this challenge by surfacing both the data marketers already have but can’t see, and the contextual signals they’ve never been able to reach, then activating those insights instantly across campaigns. This transforms marketing workflows, closing the gap between strategy and execution and enabling marketing that is personalized to the individual and relevant to the moment, at scale.

“Marketers have been told for years that personalization 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.”

What Are Composable AI Agents?

Composable AI Agents are modular, task-specific software components powered by AI. Each one performs a discrete function to automate complex marketing workflows: analyzing sentiment, identifying high-intent behaviors, modeling micro-audiences, or triggering personalized 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.

The power of Composable AI Agents built on Cortex AI isn’t only that they execute—it’s where they execute. 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.

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Simon’s Composable AI Agents reveal hidden customer signals, integrate real-world context, and automate activation directly inside the data environment to unlock new capabilities. Imagine reaching customers who mentioned competitors in support calls. Or triggering offers to parents buying for teens who follow niche influencers. Or launching weather-based promotions to browsers in storm-affected regions.

These use cases are no longer hypothetical. 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 organizations with far more resources.

“Past systems weren’t built for real-time insight or activation, which made personalization 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.”

Building on the Power of Snowflake and Anthropic

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.”

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Meet the New Marketing Workflow

With Simon, the marketing workflow doesn’t start with a segment; it starts with a goal, such as retaining customers, driving upsell, or increasing engagement in a specific region. Simon AI Blueprints turn these goals into agent-ready workflows—predefined strategies that guide how data is used, which signals to prioritize, and what activation logic to apply.

From there, Simon’s Composable AI Agents work in concert to surface the right data, model the precise audiences, and activate campaigns. Three types of Composable AI Agents work alongside marketers to launch dynamic campaigns:

Insights Agents analyze the full spectrum of customer interactions to surface high-impact campaign opportunities. Using Claude’s advanced reasoning capabilities, they identify patterns such as “customers buying kids’ products who mention back-to-school stress in support calls are 4x more likely to respond to convenience-focused messaging.”

• Marketers gain instant access to signals that would otherwise require custom analysis—no dashboards, no SQL, no handoffs.
• Data teams reduce exploration requests while enabling governed, self-service discovery inside Snowflake.

Data Agents use breakthrough AI-generated “Smart Fields” technology to transform rich contextual data into actionable customer attributes. Instead of basic demographics, marketers now have access to insights like “weather sensitivity score” or “family purchase influence level.”

• Marketers can activate context without engineering lift or manual tagging.
• Data teams maintain full control over structure and access with zero data movement.

Automation Agents execute campaigns using this deep contextual understanding, automatically creating and optimizing hundreds of adaptive micro-targeted campaigns.

• Marketers launch personalized campaigns in hours, not weeks.
• Data teams no longer export data or manage fragile reverse ETL pipelines.

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 behaviors, 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.

Proven Results: From Manual Campaigns to Moments-Based Marketing

Early adopters are seeing transformative results across key metrics:

• 90% reduction in time to build contextually-relevant audiences
• 6X improvement in campaign conversion rates
• More than 100 newly identified high-value customer cohorts