TextQL
by Ethan Ding and Mark Hay
AI-powered data analysis and automation platform for enterprises
Agent Details
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About TextQL
TextQL is an AI platform that connects to a company's existing data stack, including business intelligence tools, semantic layers, and documentation. It aims to automate data analysis tasks typically performed by human analysts, allowing business teams to get insights from their data quickly using natural language queries. The platform integrates with various components of the modern data stack to replicate interactions with a senior data scientist.
Key Features
- NATURAL LANGUAGE QUERIES
- BI TOOL INTEGRATION
- SEMANTIC LAYER COMPATIBILITY
- METADATA ENGINE
- AI-BOOSTED SEMANTIC LAYER
- PYTHON-PROFICIENT LANGUAGE MODEL
- SLACK INTEGRATION
- AUTOMATED DATA ANALYSIS
- HIPAA AND SOC 2 COMPLIANCE
Use Cases
- SELF-SERVICE ANALYTICS
- DATA DISCOVERY
- BUSINESS INTELLIGENCE AUTOMATION
- DATA SCIENCE WORKFLOW OPTIMIZATION
- ENTERPRISE DATA MANAGEMENT
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