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Open-source and cloud SQL agent that lets non-technical users query company databases in natural language, with admin controls for teams.
No-code IDE for building custom AI agents in plain English, demoed here via a Twitter personality-analysis agent.
iQanAI is a conversational AI agent that qualifies leads, handles objections, and books meetings across WhatsApp, Instagram, Messenger, and web chat.
Cora coordinates specialized AI agents to handle research, outreach sequencing, inbound replies, and calling in B2B sales pipelines.
No public pricing
No public pricing
No public pricing
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- ✦Natural-language to SQL query generation
- ✦Support for multiple LLM providers and database backends
- ✦Multi-turn, multi-database conversational querying
- ✦Role-based access control on hosted tiers
- ✦Real-time observability and tracing
- ✦Hosted vector database for agent memory
- ✦Audit logging and long-term data retention
- ✦Natural-language programming environment for AI agents
- ✦Supports loops, conditional logic and structured JSON output
- ✦Custom code execution and API connections
- ✦Example WordApps for legal drafting, marketing and candidate screening
- ✦Twitter personality-analysis demo agent reading profiles and tweets
- ✦Compatibility-check feature between two Twitter profiles
- ✦Lead qualification and disqualification
- ✦Objection handling
- ✦Meeting and appointment booking
- ✦Product recommendations and cart recovery
- ✦Revenue leak detection
- ✦Continuous performance optimization
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- →Letting non-SQL business users query company data directly
- →Reducing analyst time spent writing routine SQL
- →Deploying a governed, access-controlled chat-to-SQL agent for a team
- →Self-hosting an open-source text-to-SQL agent for full control
- →Non-technical domain experts prototyping LLM applications
- →Teams building legal, marketing or HR AI agents without code
- →Developers wanting fast iteration without heavy LLM abstractions
- →Consumers trying a novelty AI-generated Twitter personality report
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