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ByteDance's no-code platform for building and deploying AI chatbots and agents with plugins and workflows.
Subscription bundle of a dozen role-based AI assistants (support, social, sales, SEO, and more) letting small teams delegate routine work.
Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.
Unified API gateway that routes requests to 400+ LLMs across 70+ providers with failover and no subscription.
Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.
No public pricing
No public pricing
- ✦No-code bot and agent builder
- ✦LLM-powered conversations
- ✦Plugin ecosystem
- ✦Visual workflow builder
- ✦Knowledge base (RAG)
- ✦Multi-channel publishing
- ✦12+ role-specific AI helpers covering support, sales, SEO, and more
- ✦One-click use-case templates for common tasks
- ✦15+ third-party integrations
- ✦Custom brand knowledge base ('Brain AI')
- ✦Support for 100+ languages
- ✦Continuous 24/7 automated operation
- ✦No-code, chat-based interface
- ✦LPU custom inference hardware
- ✦GroqCloud tokens-as-a-service API
- ✦High-speed, low-latency inference
- ✦Pay-as-you-go token pricing
- ✦Free API key to start
- ✦Broad open-model support
- ✦One unified, OpenAI-compatible API for 400+ models
- ✦Automatic provider failover for higher uptime
- ✦Edge routing for low latency
- ✦Custom data and provider policies
- ✦Pay-as-you-go credits usable across any model
- ✦Enterprise search across company apps
- ✦Personal AI assistant grounded in work data
- ✦Agent builder, orchestration and governance
- ✦250+ connectors and actions
- ✦Enterprise knowledge graph and hybrid search
- ✦Security controls for scaling AI
- →Building customer-support bots
- →Deploying agents to messaging channels
- →Automating workflows
- →Prototyping AI assistants
- →Automating social media scheduling and content creation
- →Handling routine customer support replies
- →Drafting marketing copy and email campaigns
- →Turning business data into actionable insights
- →Running SEO audits and optimizing content
- →Screening candidates and drafting recruiting materials
- →Running LLM inference at high speed
- →Cutting inference costs at scale
- →Powering low-latency AI chat apps
- →Serving models via a hosted API
- →Accessing many LLMs through one integration
- →Adding provider redundancy to AI apps
- →Comparing model price and performance
- →Powering agents and AI-native products
- →Search across all company knowledge
- →Answer employee questions with grounded AI
- →Build and deploy custom AI agents
- →Automate cross-system workflows