Embedded analytics platform enables businesses to turn traditional dashboards into intelligent experiences with built-in governance and predictable cost management
Reveal, Infragistics’ embedded analytics platform that brings conversational and AI-driven insights to enterprise applications, announced the ability for businesses to deliver conversational AI analytics directly within the product with enterprise-level controls. As expectations grow for applications that can quickly answer data questions and provide clear recommendations, many companies struggle to deliver these experiences without introducing governance risks and unpredictable AI costs. Reveal turns traditional dashboards into intelligent experiences, giving software teams the visibility and control they need to confidently bring AI to their applications.
Embedded analytics has traditionally focused on dashboards and static reports placed within applications, but as AI adoption accelerates, software is expected to summarize key metrics, track trends, detect outliers, and recommend next steps. Rather than combing through reports, users want to ask simple questions within the application and get insights automatically. However, the AI that enables these experiences often conflicts with enterprise requirements for security, compliance, and operational visibility, making many organizations hesitant to deploy AI in their applications.
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Reveal solves this problem by embedding conversation analytics and AI-driven insights directly within enterprise products, rather than adding AI as a separate assistant or external tool. For enterprise software teams, this means they can deploy intelligent analytics experiences without sacrificing governance, cost control, or operational oversight. Embedded analytics becomes a natural part of the application experience, making it easy for users to explore data, understand what’s happening in their business, and decide what to do next.
By incorporating Reveal into their applications, businesses can deliver conversational AI experiences while maintaining the control and monitoring needed in enterprise environments.
- Deliver conversation analytics directly to your applications to drive better decisions. Users can ask questions about their data and receive clear explanations in seconds, without having to manually navigate through complex dashboards and reports. Questions include “Why did our revenue decrease this quarter?” and “Which customers are we most at risk of losing?” or “How can I shorten my delivery schedule?” With Reveal, your app can automatically summarize key metrics, detect outliers, and recommend next steps, so users can quickly understand what their data is telling them and what action to take next.
- Maintain governance over how AI interacts with your data. Reveal ensures that AI interactions follow the same data permissions already defined in your application. AI only accesses data that users are already authorized to see, ensuring insights are generated within existing governance frameworks. This enables businesses to deliver AI-powered insights to their users without losing control of the underlying data environment.
- Predict and control your AI costs. Reveal provides visibility into how AI is used across applications, allowing teams to monitor usage and deploy AI-driven insights without unexpected costs. Software teams can also set token usage limits to scale usage predictably and prevent runaway AI costs.
- Incorporate AI into your product architecture. Reveal is an AI engine inside the product, not an external LLM workflow locked to the side. Teams can deploy conversational analytics as a native part of the product, allowing AI insights to work seamlessly within the application experience while maintaining the performance and reliability required of enterprise software.
“Embedded analytics is no longer just a dashboard within an application; it’s becoming the intelligence layer of enterprise software,” said Jason Velez, COO of Infragistics. “Reveal is redefining what embedded analytics means in the AI era by enabling enterprises to use interactions to explain what’s happening in their data and build applications that guide users to better decisions. All within the scope of enterprise governance and cost management.”
Premier Crop Systems and SnapFulfil / Synergy Logistics Ltd. are among the companies already using Reveal.
“We were part of an early adopter program for AI products and were very impressed with working with the Reveal team. They understand data, how customers want to interact with it, and how developers want to customize those experiences,” said Keith Reimer, Premier Crop Systems Software Architect Team Lead. “Reveal AI automatically handles important tasks like metadata generation and model context out of the box, while giving teams the ability to customize through the SDK. Teams have control every step of the way and have the flexibility to integrate AI into their codebase without being tied to a specific model or approach.”
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