Business Intelligence & Analytics Software | Databox

Get clear, trusted answers in seconds with AI-powered analytics software. Connect 130+ data sources, build beautiful dashboards, and automate reports.

Employees

51-200

Pricing

Public pricing page

AI Classification

DataAIAnalytics/BI

Databox is a self-service business intelligence and analytics SaaS platform that allows growing businesses and agencies to connect 130+ data sources, build no-code dashboards, and generate AI-powered insights through its 'Genie' AI Analyst. Serving 20,000+ customers, the platform targets business analysts, executives, functional team leads, and marketing agencies seeking a consolidated, accessible alternative to complex enterprise BI tools.

Deep Intelligence

Buying Signals

Major product launch in May 2025: 'Advanced Analytics' release added Datasets for data-prep, a no-code SQL builder, multidimensional metrics, and row-level drill-downs — a significant platform expansion signaling active R&D investment.
AI Analyst 'Genie' launched as a core feature, enabling natural-language business performance queries — indicates heavy investment in AI-native product positioning.
MCP (Model Context Protocol) listed as a new platform feature, signaling integration into the broader AI agent/LLM ecosystem.
Explicitly states 'Backed by top VC firms' on the About page, confirming active funding and investor-supported growth trajectory.
Customer base grown to 20,000+ businesses with 70M+ metrics tracked — sustained user adoption pointing to continued expansion.

Account Scoring

Tier ALow Churn RiskProduct Launch

Pain Signals

78 employees (Playmakers) serving 20,000+ customers suggests a potentially stretched support and customer success function relative to the scale of their customer base.
Heavy positioning against 'enterprise solutions' with complex setup and high cost implies difficulty breaking into larger enterprise accounts and a ceiling on upmarket movement.
No named enterprise customer logos, industry-specific case studies, or recognized brand testimonials visible in scraped content — may signal weak brand recognition in enterprise procurement cycles.