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Supaboard AI streamlines business intelligence by using domain-specific AI analysts to deliver real-time insights without requiring code or technical expertise. It connects to over 110 data sources, supports collaboration, and maintains strong data privacy through read-only access and schema-only storage. Designed by data scientist Aritra Ghosh, the platform eliminates common inefficiencies found in traditional BI tools.
The Struggle Is Real: Why Traditional BI Tools Just Don’t Cut It Anymore
Traditional business intelligence workflows often involve writing complex SQL queries, switching between tools, and waiting for data analysts to process requests. Even tools that use large language models frequently require users to input detailed context and still fall short by generating vague or irrelevant responses. Teams are left building charts manually or navigating clunky interfaces to extract basic insights. Despite the availability of modern AI assistants, most still need significant hand-holding and fail to deliver domain-specific answers that matter to decision-makers.
Meet Supaboard AI: The Data Analyst That Never Sleeps
Supaboard AI allows users to ask questions in natural language and receive dashboards, insights, and reports without writing code. The platform is designed to eliminate the need for manual processes and enables teams to analyze data without depending on technical expertise. Its AI analysts interpret business questions and return detailed responses instantly. Supaboard unifies business-critical data into a single platform, removing data silos and streamlining access to key metrics in real time.
Three Buttons, Endless Possibilities: How Simplicity Powers Serious Intelligence
Supaboard’s interface relies on three core functions:
- Data View: View and organize connected data sources.
- AI Conversations: Interact directly with AI analysts to ask data questions.
- Dashboards: Visualize insights and reports in customizable, collaborative dashboards.
This structure reduces friction for users who need answers quickly and provides consistent access whether using a desktop or mobile device.
110+ Data Sources, Zero Headaches: What Setup Looks Like with Supaboard AI
The platform connects with over 110 data sources within minutes. Users can pull in datasets from ERPs, CRMs, marketing platforms, or NoSQL databases like MongoDB. No complex configuration is needed to begin analysis. Setup requires no technical background, and users can create filtered custom views tailored to team-specific metrics or workflows. Data is fetched directly from source systems, and schema storage enables quicker AI response generation without exposing underlying data.
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Inside the Minds of AI Analysts: Why Context Is the Game-Changer
Supaboard features over 18 domain- and job-specific AI analysts trained to understand industry terminology and use cases. This approach allows the system to return relevant and precise answers to queries that traditional LLMs often misinterpret or respond to generically. The platform’s embedded AI chat enables users to explore data within dashboards, cutting down on back-and-forth with analysts or support teams. This embedded intelligence results in faster decisions driven by more accurate interpretations of organizational data.
Your Data, Your Rules: Built-In Privacy Without Compromise
Supaboard does not store database data. All queries are executed through read-only access, and users maintain control over which tables and columns can be queried. Only schema information is stored, and no user data is used for model training by default. Access controls are enforced via a deterministic layer, supporting secure and reliable data governance. These security measures ensure compliance without compromising the speed or functionality of the platform.
From Teams to C-Suite: Why Everyone Gets Value from Supaboard AI
Supaboard supports real-time collaboration through shared dashboards and customizable access roles. Users can pin insights, add comments, and export results to Slack or email directly. Its interface and features cater to technical and non-technical users, making it suitable for data teams, marketing leads, sales managers, and executives who need quick access to performance metrics. The platform is designed to serve teams of all sizes with role-based data visibility.
Built by a Frustrated Data Scientist Who Finally Said “Enough”
Aritra Ghosh, founder of Supaboard, built more than 1,000 dashboards over his career as a data scientist and encountered repeated inefficiencies with existing BI solutions. These experiences led to the creation of Supaboard as a tool that automates data analytics from end to end. His objective was to eliminate friction in the data analysis process by removing the need for writing SQL, waiting on specialists, or using multiple disconnected tools to produce actionable reports.
Why Supaboard AI Isn’t Just Another BI Tool on the Shelf
Supaboard combines real-time access to 110+ data sources with embedded AI analysts trained for specific domains. The tool simplifies workflows through its three-button interface and enables collaboration across teams without technical barriers. It supports structured and NoSQL databases, delivers insights on mobile and desktop, and maintains strong privacy controls. Its AI-powered dashboards are designed to generate business value from data without the usual complexity of traditional tools.
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