Cranbury-based embedded analytics platform Reveal announced its product’s ability to enable companies to deliver conversational AI analytics directly within their products with enterprise-level controls.
As expectations grow for applications that can quickly answer data questions and provide clear recommendations, enterprises can struggle to deliver these experiences without introducing governance risk or unpredictable AI costs.
Reveal, from UX/UI firm Infragistics, turns traditional dashboards into intelligent experiences while giving software teams the visibility and control they need.
Embedded analytics has traditionally focused on dashboards and static reports placed inside applications, according to a release, but as AI adoption accelerates, software is now expected to summarize key metrics, track trends, detect outliers, and recommend next steps.
Users want to ask simple questions within their applications and have insights surfaced automatically, rather than dig through reports.
The AI that enables these experiences, however, often conflicts with enterprise requirements around security, compliance, and operational visibility–leaving many organizations hesitant to deploy AI in their applications, according to Reveal.
Reveal solves this by embedding conversational analytics and AI-driven insights directly inside enterprise products, rather than adding AI as a separate assistant or external tool.
This enables enterprise software teams to introduce intelligent analytics experiences without sacrificing governance, cost control, or operational oversight.
For example, users can ask questions about their data and receive clear explanations within seconds, rather than manually navigating dashboards and reports. Questions can include “Why did revenue drop this quarter?” “Which customers are we most at risk of losing?” or “How can we reduce shipping timelines?”
Embedded analytics is becoming the intelligence layer of enterprise software, Infragistics COO Jason Beres said in a release.
