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Developer APIs and SDKs to embed real-time voice, video, live streaming, and AI voice agents into web and mobile apps.
Lightweight MIT-licensed JavaScript chatbot UI widget for building support-agent chat interfaces on top of any LLM.
Test-automation platform for web, API, mobile, and desktop with no-code to full-code authoring and cloud execution.
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
Free trial available
No public pricing
No public pricing
No public pricing
Free trial available
No public pricing
Free trial available
- ✦Audio and video calling APIs and SDKs
- ✦Interactive live streaming APIs and SDKs
- ✦AI voice agent integration
- ✦Web and mobile platform support
- ✦Pay-as-you-go pricing with one-time $20 free credit
- ✦MIT-licensed and free to use
- ✦Lightweight (~65kb) JavaScript widget
- ✦4 message display modes plus typewriter effect
- ✦Markdown support and chat history
- ✦Backend hook to integrate any LLM
- ✦Responsive, mobile-friendly, read-only mode
- ✦Fully managed TiDB service
- ✦Easy deployment on AWS, Google Cloud, Azure, and Alibaba Cloud
- ✦Scalable and reliable MySQL-compatible database
- ✦Elastic scaling of storage, transactional, and analytical workloads
- ✦Robust security compliance (SOC 1/2/3, ISO 27001/27701, PCI DSS, GDPR, HIPAA)
- ✦No-code, low-code and full-code test authoring
- ✦Web, API, mobile and desktop testing
- ✦Test management and planning
- ✦Cloud-based test execution
- ✦Reporting and analytics
- ✦AI-assisted test generation and monitoring
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- →Embedding video and audio calling into web and mobile apps
- →Adding interactive live streaming to a platform
- →Building AI voice agent experiences into products
- →Adding an AI chat UI to web apps
- →Building LLM-powered support agents
- →Embedding chat widgets in existing products
- →Prototyping chatbot interfaces
- →Building mission-critical applications requiring scalable and reliable databases
- →Managing and scaling transactional and analytical workloads
- →Deploying databases across multiple cloud providers and regions
- →Ensuring data security and compliance with industry standards
- →Automate regression testing
- →Unify API, web and mobile tests
- →Manage manual and automated tests together
- →Scale test execution in the cloud
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
