AI Data Analyst that turns questions into data insights for SQL databases
Real-time AI voice translator for conversations in 50+ languages, browser-based, no app download
Stage
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Founded
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Based in
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Pricing model
Free trial
Freemium
Pricing
BlazeSQL offers Individual, Team, and Enterprise plans. Individual and Team plans have unlimited access to the AI Data Analyst chatbot per user. Enterprise plans include custom terms.
Free: 180 seconds per month. Starter: $9.99/month or $99.90/year (100 minutes per month). Pro: $19.99/month or $199.90/year (240 minutes per month). Enterprise: from $299/month (1,500 minutes per month).
Key features
Automatically extracts database structure with no manual setup
Integration with ChatGPT, Claude, Microsoft Teams, and Slack
Self-learning AI that improves from feedback
Personal dashboard creation with drag and drop
Generates PDF and interactive reports
Web research capability for context and benchmarks
Offline mode with local data processing
Supports 12+ SQL databases and warehouses
API for query generation and data pulling
White-label and embedding capabilities
Real-time two-way voice translation
50+ supported languages
Browser-based, no app download required
Transcript timeline for each conversation
Approximately 1-second latency
98% accuracy for most language pairs
Real-time voice output playback
Natural-sounding AI voices
Handles natural speech patterns
Encrypted conversations, not stored on servers
What makes it different
Self-learning AI that extracts database structure automatically and improves from feedback without manual setup
Integrates seamlessly into existing work tools like ChatGPT and Slack without leaving your workflow
Enables both technical and non-technical users to extract insights independently
Can research benchmarks, query databases, and generate shareable reports from a single question
Low latency with approximately 1-second translation delay
Over 98% accuracy with ability to handle natural speech patterns
Instant voice playback starts as translation chunks arrive
Built specifically for in-person conversations and real-world use cases
BlazeSQL
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