Mandala is a business intelligence tool that integrates various types of enterprise data into a unified knowledge-graph brain for your business. This allows companies to easily harness all their data sources to improve decision-making.
Backstory
Feeling like a Jack of all trades but a master of none is common among modern business owners. Industry-specific expertise alone is no longer sufficient to run a successful business, as all companies must manage data, inventory, technology, marketing, and more. As businesses rely on an increasing number of tools to operate, it becomes harder to connect everything and grasp both the small details and the big picture.
Mandala was created to address this challenge. It is a ProActive AI solution that helps businesses regain control of their data and systems. Unlike other business intelligence tools that often cause confusion and complexity, Mandala functions as a unified brain designed to be as simple to use as possible. It is a plug-and-play solution that runs 24/7 to collect, organize, and analyze data from numerous sources. With this data, users are proactively notified of insights and detected anomalies, without needing to ask a single question. Mandala is built for Doing and Thinking, helping business owners find answers and ask the right questions.
Project Overview
The goal of Mandala was to develop a business intelligence tool for small and medium-sized businesses that lack dedicated data teams but are large enough to benefit significantly from better data-driven decisions. This would be achieved through a tool that simplifies creating, reading, querying, and updating a knowledge graph made up of various business data. AI agents then actively analyze this knowledge graph, revealing trends and potential insights.
Unique Factors / Challenges
Unique factors of this project were data ingestion and customer enablement.
Data Ingestion
Business data is hard to handle because of its volume and diversity. Even the smallest businesses generate large amounts of data when managing tasks like payroll, operations, and product development. Most of this data remains unused in decision-making because it's often stored in different formats and covers various topics. We addressed this by creating an ingestion pipeline that can process multiple data types—images, videos, text, speech—and extract relevant entities. These entities and segments are then organized into a dynamic knowledge graph, enabling connections across different systems and outputs from the many tools modern businesses use.
Customer Enablement
The steep learning curve that comes with many business intelligence tools was another major challenge we had to address. Although powerful, tools like Power BI and Tableau are often too complex for many business owners to use effectively. With this in mind, we developed Mandala to offer similar robust features with improved ease of use. This was achieved in two ways: first, through AI agents. The platform uses AI agents that proactively examine each enterprise's knowledge graphs, helping users by highlighting patterns that might otherwise go unnoticed. Second, it features a chat-style user experience that enables users to initiate powerful queries using natural language.
Achievements & Outcome
Creation of Mandala, a business intelligence solution for small to medium-sized enterprises.
A pilot program with one of the Top 75 fastest-growing private companies (confidential) in the United States.