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Pricing
Forever Free: $0
Basic: $19
Professional: $49
Agency: $149
No public pricing
No public pricing
No public pricing
Core features
- ✦TinyForms: Build smart forms with customized APIs, real-time logic, and dynamic APIs.
- ✦TinyWorkflows: Create no-code automations with a visual drag-and-drop builder, human-in-loop capabilities, and AI assistance.
- ✦TinyTables: Manage, analyze, and visualize data with live sync, built-in AI enrichment, and smart insights.
- ✦TinyEmails: Create and send personalized emails directly from workflows with AI-crafted messages and data-driven timing.
- ✦TinyAgents: Deploy specialized AI agents for research, qualification, or enrichment tasks, with prebuilt expertise and customizable logic.
- ✦AI-powered code autocompletion
- ✦Context-aware code referencing and chat
- ✦Natural language code editing
- ✦Customizable AI code assistants
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Zero-ETL data integration
- ✦Federated Query
- ✦Streaming Ingestion
- ✦Instant Replication with CDC
- ✦API to SQL conversion
- ✦NoSQL to SQL conversion
- ✦SQL to API conversion
- ✦Self-service Integration
- ✦Generate SQL with AI
Use cases
- →Lead Management: Automate lead capture, enrichment, and CRM syncing to turn form fills into qualified prospects.
- →Sales Pipeline: Automate handoffs and streamline sales processes for efficiency.
- →Marketing Campaigns: Boost marketing campaign impact through automation.
- →Recruitment Flow: Automate hiring and onboarding by collecting applications, shortlisting with AI, and notifying teams.
- →Community Flow: Manage community onboarding, approvals, and communication on platforms like Telegram.
- →Campaign Flow: Streamline voucher availing journeys, rewards, and coupon redemptions with full automation.
- →Accelerate development with AI-powered autocompletion.
- →Improve code understanding with context-aware chat.
- →Refactor code using natural language instructions.
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Query data directly from its source in real-time.
- →Process data wherever it is, blending data from different sources.
- →Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
- →Replace nightly batch ingestion with real-time data access.
- →Treat every data source like a relational database by converting APIs to tables.
- →Use SQL to query NoSQL databases.
- →Query consolidated data and expose it with APIs.
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