This resource introduces a Customer Insights Agent that translates natural language questions into SQL queries using AI. It enables business users to access complex customer insights without needing SQL expertise, while maintaining transparency and governance for technical teams.
A state transportation agency used Syntasa’s Behavioral Sentiment Analytics to surface underserved communities and inform more equitable transportation planning through AI-powered insights.
Syntasa’s Speech-to-Text Solution converts audio into text, detects language, translates non-English text, and summarizes content with advanced machine learning. It integrates with Spark for efficient processing and automated monitoring. The solution includes sentiment and topic analysis, and real-time dashboards for easy tracking and visualization, providing deeper insights for data analysts.
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.
Advancement teams are sitting on valuable donor, alumni, engagement, and digital interaction data, but much of it remains disconnected across systems. This guide explores how modern institutions can unify data, identify donor signals earlier, and use AI to create more personalized fundraising experiences. Learn how solutions like DonorAI help advancement teams turn fragmented data into actionable donor insights.
A global retail leader partnered with Syntasa to unify customer data across four channels : in-store transactions, loyalty-card interactions, app sessions, and web browsing into a single, governed foundation that marketing, eCommerce, data engineering, and data science teams could all work from.
Syntasa transformed the retailer’s transaction data into a structured basket-level dataset while unifying behavioural, transactional, and interaction data into a single customer view. Together, these created a shared source of truth that eliminated repeated preparation work, improved consistency across teams, and made trusted customer intelligence available across the organisation.
The unified foundation enabled sharper segmentation built on actual behaviour rather than broad demographics, surfaced bundling and cross-sell opportunities directly from basket composition, and gave data science teams a reliable base for affinity modelling, LTV prediction, propensity scoring, and churn analysis, ultimately producing one shared source of truth that closed the gap between customer signal and commercial action.
This is how WSP used AI-powered sentiment analytics to analyze 1,400+ community responses and shape Palm Beach County’s transportation plan.
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.
