Supaboard
Supaboard is an AI Business Intelligence platform that empowers teams to unify data and generate insights using natural language, making data analysis accessible without SQL.
At a Glance
- SaaS Startups
- E-commerce
- Finance teams
- Data-driven SMEs
AI Tools by Supaboard
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Supaboard
AI Business Intelligence Platform
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Products & Services
AI agents trained on business logic and rules to surface insights from data sources.
Enables users to ask plain-English questions of their data to generate metrics and charts instantly.
Generates interactive dashboards and KPIs from natural-language prompts.
Market Position
AI-first approach to BI that replaces traditional tools like Metabase and Tableau with a natural-language interface and automated agents.
Leadership
Founders
Aritra Ghosh
Founder of Supaboard. Previously founded Shapt (e-commerce platform) and is a YouTuber (Beyond Question). Background in product management and growth, involved with The Product Folks and Razorpay Rize.
Subhrajyoti Modak
Co-Founder & CTO of Supaboard. Previously Chief Technology Officer at Fyipen Private Limited and Co-Founder at Shapt and Everytutee.
Executive Team
Aritra Ghosh
Founder & CEO
Experienced founder with a focus on data accessibility and AI-driven insights.
Subhrajyoti Modak
Co-Founder & CTO
Technical leader with experience in building data infrastructure and e-commerce platforms.
Board of Directors
Founding Story
Supaboard was started by founders Aritra Ghosh and Subhrajyoti Modak after they experienced the challenges of data accessibility while building their previous venture, Shapt. They aimed to create a 'data whisperer' that could bridge the gap between complex data warehouses and business decision-makers.
Business Model
Revenue Model
B2B SaaS Subscription (Per-user monthly/annual fees)
Pricing Tiers
Includes 1 AI agent, SQL data sources, basic AI models, and unlimited dashboards.
Includes 3 AI agents, 700+ business apps, premium AI models, AI embeddings, and Slack/Teams bots.
Includes unlimited agents, advanced AI models, white-labeling, and dedicated support engineering.
Target Markets
- SaaS Startups
- E-commerce
- Finance teams
- Data-driven SMEs
- Automating ad-hoc data requests
- Financial trend and variance analysis
- Product performance tracking
- Consolidating fragmented data sources for executive reporting
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