Marketers waited weeks for static segments. AI agents now build audiences from live data, cutting launch times to hours.
A marketing technology platform processing billions of customer events and millions of profiles across behavioral, transactional, and contextual data sets.
Marketing teams relied on legacy systems with batch processing and fragmented data, resulting in static segments and delayed campaigns. Traditional...
“Marketers have been told for years that personalization was solved, but the reality has been static segments, brittle workflows and missed customer moments. Simon has changed that by bringing reasoning, context and execution directly into the Snowflake data layer for marketing to use.”
Agentic marketing platform and composable customer data platform for enterprises.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Manual setup took hours. Secure multi-agent AI now automates campaigns, launching 50% faster with up to 10x higher ROI.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
90-day strategy workflows choked prototypes. Parallel AI agents now cut processing from 6 days to hours, saving 21% OpEx.
Data scattered across systems forced manual consolidation. Now, AI unifies insights to trigger personalized campaigns instantly.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Marketers waited weeks for static segments. AI agents now build audiences from live data, cutting launch times to hours.
A marketing technology platform processing billions of customer events and millions of profiles across behavioral, transactional, and contextual data sets.
Marketing teams relied on legacy systems with batch processing and fragmented data, resulting in static segments and delayed campaigns. Traditional...
“Marketers have been told for years that personalization was solved, but the reality has been static segments, brittle workflows and missed customer moments. Simon has changed that by bringing reasoning, context and execution directly into the Snowflake data layer for marketing to use.”
Agentic marketing platform and composable customer data platform for enterprises.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Manual setup took hours. Secure multi-agent AI now automates campaigns, launching 50% faster with up to 10x higher ROI.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
90-day strategy workflows choked prototypes. Parallel AI agents now cut processing from 6 days to hours, saving 21% OpEx.
Data scattered across systems forced manual consolidation. Now, AI unifies insights to trigger personalized campaigns instantly.
Class sizes left the "middle 80%" of students unseen. AI agents now coach learners, surfacing gaps for immediate human intervention.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.