Databox
Databox provides an agentic analytics platform that unifies connected data, governed metrics, business context, and AI in a single solution. The platform's AI Analyst answers natural-language questions from live data, while a universal semantic layer standardizes metric definitions across 130+ integrations to ensure trusted analysis. It also supports MCP to ground external AI tools in governed business data.
- Data & Analytics
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Businesses struggle to get reliable answers from their performance data because metrics are scattered across dozens of disconnected tools and dashboards, making analysis slow, inconsistent, and error-prone. Even with AI tools, results are often untrustworthy when the underlying data lacks consistent definitions and context, forcing teams to rely on manual reporting or expensive analyst support.
Solution
Databox provides an agentic analytics platform that brings connected data, governed metrics, business context, and AI together in one place. The AI Analyst lets users ask natural-language questions and receive trusted answers drawn from live data, while agents and automations handle recurring analysis and convert insights into action. A universal semantic layer gives every metric shared meaning, ensuring AI analysis is grounded in consistent definitions. The platform supports integrations with 130+ tools, spreadsheets, databases, and APIs, and offers MCP (Model Context Protocol) support to ground external AI tools in trusted data. Users can build dashboards, monitor KPIs, track goals and OKRs, and share clear performance updates with stakeholders.
Target Audience
Primary customers are agencies that need to monitor performance across multiple clients, growing businesses seeking analyst-level answers about their performance, and AI implementers looking to build AI systems on a governed data foundation.
Features
- AI Analyst for natural-language querying of live data with trusted, governed answers
- Agents and automations for recurring analysis and turning insights into automated actions
- Universal semantic layer that standardizes metric definitions across all data sources
- 130+ integrations with tools, spreadsheets, databases, and APIs
- MCP (Model Context Protocol) support to ground external AI tools in trusted business data
- Data governance features for consistent metric definitions, ownership, and access control
- Metrics & KPIs builder with monitoring and forecasting capabilities
- Dashboards and reports for visualizing performance and sharing clear updates
- Goals & OKRs module connecting strategy to measurable goals with automatic progress tracking
- Skills Marketplace offering pre-built analysis skills like the Leaky Funnel Finder