OMES teamed up with Syntasa and Google to centralize data across state agencies, improving access, streamlining processes, and enabling better decision-making with advanced analytics and machine learning.
Boost customer trust and conversion with Syntasa’s real-time social proofing solution that enhances product credibility using live popularity stats and AI-powered review summaries.
A regulatory agency partnered with Syntasa, Google, and T&T Consulting Services to analyze public comments related to a proposed rule. The solution helped reviewers identify exact and near duplicates to speed the review cycle.
Unlocking the Power of Data: Elevate Your CDP Initiatives with ‘Data Ready’ Discover how to optimize your Customer Data Platform (CDP) initiatives by ensuring your data is primed for success with Syntasa’s ‘Data Ready for CDP’ solution.
A global cybersecurity company protecting hundreds of millions of users deployed Syntasa’s real-time intent scoring to personalize
experiences at the moment of decision. This drove measurable conversion uplift while protecting margin where it matters most.
Learn how AHCCCS partnered with Syntasa and Google Cloud to build an AI-powered opioid treatment locator that helps Arizonans find care.
Syntasa’s Customer Audience Agent lets teams build behavioural audiences in minutes using AI and natural language. It validates against live data, respects governance controls, and delivers activation-ready audiences without technical delays.
Syntasa’s Customer Insights Agent lets teams ask customer data questions in plain English and get real-time answers instantly. It runs in your own cloud, converts language to SQL, and removes reliance on dashboards and data teams for faster, confident decisions.
Traditional CDPs often fall short—delivering slow timelines, bloated systems, and delayed ROI. Syntasa’s Composable CDP changes the game with a warehouse-native, modular platform built to accelerate revenue from day one. This overview shows how leading retailers are using composable architecture to activate customer insights faster, personalize at scale, and drive measurable outcomes—all within their existing data warehouse.
Retail Media Networks (RMNs) are transforming how retailers monetize first-party data—but not all architectures are built to scale. This case study walks through the core decisions retailers must make to design a future-proof RMN. See why a composable, data-centric approach outperforms vendor-heavy models in cost, security, and long-term agility.
