AI Data Analyst that turns questions into data insights for SQL databases
AI agents for customer service that feel human
Stage
Not given
Not given
Founded
Not given
Not given
Based in
LU
US
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 plan with 35 credits/month. Lite: $35/month or $350/year. Standard: $89/month or $890/year. Scale: $377/month or $3770/year. Enterprise: contact sales. Auto-recharge available at $9 per 1,000 message credits.
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
Train agents on website and documents with auto-retrain
Complete real tasks through AI Actions
Seamless handoff to human agents with context
Multi-channel deployment
Analytics dashboard with satisfaction metrics
White-labeling with custom domain
Team collaboration features
Multilingual support
No-code visual agent designer
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
Human-like conversational responses with brand voice customization
Agents that take real actions not just answer questions
Continuous learning with automatic knowledge updates
Fast setup with no coding required
Seamless handoff to human agents with full context preservation