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AI tool that converts natural-language questions into SQL queries, sold via a Lemon Squeezy storefront with tiered pricing.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
No-code visual flow builder for launching multichannel SMS, WhatsApp and Facebook chatbots at scale, aimed at NGOs and enterprises.
Spreadsheet-style Python data tool inside Jupyter that generates code via AI so analysts and data scientists can skip hand-coding.
No public pricing
Free trial available
No public pricing
Free trial available
No public pricing
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- ✦Natural language to SQL query generation
- ✦Standard and Pro subscription tiers
- ✦Checkout and billing via Lemon Squeezy
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦Drag-and-drop flow designer
- ✦Contact database with custom fields
- ✦Automated campaign scheduling
- ✦Omni-channel messaging (SMS, WhatsApp, Facebook, etc.)
- ✦Ticketing for bot-to-human hand-off
- ✦Zapier/Wit.ai/webhook integrations
- ✦Nonprofit discount pricing
- ✦Spreadsheet interface inside Jupyter notebooks
- ✦AI-generated Python code from spreadsheet actions
- ✦Runs on customer infrastructure (no data sent to Mito)
- ✦Bring-your-own LLM API keys
- ✦Excel-to-Python conversion
- ✦Compatible with existing Jupyter extensions
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- →Generating SQL queries without writing raw syntax
- →Helping non-technical users query databases
- →Speeding up ad hoc data lookups for analysts
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Running patient or research-subject engagement programs
- →Building customer support chatbots across multiple channels
- →Automating recurring outreach campaigns
- →Handling large-scale SMS surveys in developing regions
- →Escalating complex chatbot conversations to human agents
- →Analysts automating Excel-style reports without hand-writing code
- →Data scientists speeding up exploratory data analysis
- →ML engineers iterating on feature engineering in notebooks
- →Enterprises needing private, self-hosted AI coding assistance