Embedded BI Tool 'Reveal' Evolves into an AI-Native Analytics Platform

Infragistics Japan Co., Ltd. (Headquarters: Chuo-ku, Tokyo; Representative Director: Ken Azuma) has released "Reveal AI," an AI-native analysis function, as the latest version of its embedded BI tool "Reveal".

Application developers can now embed AI analysis functions into their own products while maintaining their existing security and governance structures.

◼︎ The Evolution to "Conversational Analytics" Demanded of BI

The proliferation of generative AI is also changing expectations for BI. End-users, accustomed to the experience of getting answers by asking questions in a chat, have come to naturally expect to be able to query dashboards using natural language. While static analysis platforms for KPI monitoring and drill-downs remain essential, the addition of AI analysis that can extract real-time, context-aware insights is evolving BI into a "strategic feature" that greatly enhances the added value of applications.

However, implementing BI functionality is not easy for developers. A domestic corporate survey by Infragistics cited the in-house creation of advanced dashboard UIs as a top challenge for development sites (*1). Furthermore, building an AI analysis function on top of that is estimated to require an additional 9-12 months of development for tasks such as building LLM infrastructure, prompt tuning, and designing governance controls, making it impractical for many development teams.

The embedded BI tool "Reveal" is a platform with an SDK-embedded architecture that allows high-quality dashboard functionality to be quickly integrated into applications. And with this latest release of "Reveal AI," it is now possible to provide a complete "conversational analysis experience" to end-users. From building the dashboard foundation to the AI-native analysis experience, developers can cover it all with just "Reveal".

◼︎ Overview of "Reveal AI"

"Reveal AI" is a platform that transcends the boundaries of traditional embedded BI, integrating directly into SaaS and enterprise applications as an AI-native analysis layer.

It provides AI analysis via natural language, enterprise-level governance, and predictable cost management in a single package. Its main features are as follows:

1. What's possible with the Embedded AI Analytics function

• Ask questions in natural language within the application

• Automatically generate KPI summaries and context-aware explanations