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All-in-one no-code platform combining forms, workflow automation, AI agents, a database and email in a single subscription.
Amazon's Nova Sonic is a speech-to-speech foundation model on Bedrock that captures tone and pacing for natural voice apps; usage-priced.
AI codebase assistant that chats with your repos to search, debug, review PRs, and generate docs and unit tests.
Autonomous AI software engineer by Cognition that plans and completes full coding tasks from a natural-language brief.
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
- ✦Drag-and-drop form builder with conditional logic
- ✦Workflow automation with 60+ node types and 400+ integrations
- ✦Prebuilt and custom AI agents for tasks like lead scoring
- ✦Relational database with AI-enriched columns
- ✦Drag-and-drop email builder with AI-drafted content
- ✦Company and contact enrichment and web research tools
- ✦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)
- ✦Unified speech understanding and generation
- ✦Captures tone, inflection and pacing
- ✦Available via Amazon Bedrock API
- ✦Simplifies voice-app development
- ✦Supports customer-service and agent use cases
- ✦Chat with your repositories
- ✦Natural-language codebase search
- ✦Fast code indexing
- ✦AI pull-request and commit review
- ✦Automated documentation generation
- ✦AI unit-test generation
- ✦Autonomous end-to-end task execution
- ✦Planning and multi-step reasoning
- ✦Code writing, running and debugging
- ✦Integrated shell, editor and browser
- ✦Application building and deployment
- →Capturing and automatically routing sales leads
- →Building onboarding or support-triage workflows
- →Running AI-driven lead scoring and qualification
- →Sending personalized, data-merged email campaigns
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Automate customer-service calls
- →Build natural voice AI agents
- →Add expressive speech to applications
- →Onboard new developers to a codebase
- →Resolve bugs faster
- →Generate docs and tests automatically
- →Review pull requests with AI
- →Automating software engineering tasks
- →Building apps from a brief
- →Debugging and fixing code
- →Assisting development teams