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AI assistant for teams with secure LLM and company-knowledge access.
General-purpose autonomous AI agent that plans and runs multi-step tasks such as building sites, slides and research in the cloud.
AI super-assistant plus enterprise ML platform: ChatLLM for teams and end-to-end model building for enterprises; broad, pricing not shown.
Fast, low-cost AI inference provider running LLMs on custom LPU chips via GroqCloud's pay-as-you-go API.
Developer-focused GPU cloud offering on-demand pods, serverless inference and multi-node clusters at per-second pricing for AI workloads.
No public pricing
No public pricing
No public pricing
- ✦Unified and safe access to GPT-4
- ✦Connection to team's data for up-to-date answers
- ✦Customizable AI agent building without code
- ✦Team collaboration features for sharing prompts and conversations
- ✦Suggestions for documentation updates and improvements
- ✦Autonomous multi-step task execution
- ✦Website and app building
- ✦AI slides, design and image generation
- ✦Manus browser operator
- ✦Wide Research mode
- ✦Cross-platform web, desktop and mobile apps
- ✦ChatLLM access to multiple top AI models
- ✦AI agents and automation
- ✦No-code full-stack app creation
- ✦Enterprise generative AI platform
- ✦Structured ML model building
- ✦Optimization and forecasting
- ✦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
- ✦On-demand GPU pods across 30+ GPU types and 31 regions
- ✦Serverless GPU endpoints with sub-200ms cold starts
- ✦Zero idle cost billing for inference workloads
- ✦Multi-node clusters for distributed training
- ✦Persistent network storage for full pipelines
- ✦Real-time logs, monitoring and autoscaling from 0 to hundreds of workers
- →RevOps & Sales: Create customer profiles, flag at-risk deals, analyze calls, generate SQL.
- →PMM & Marketing: Write on-brand content, create consistent messaging, translate content, extract insights.
- →Customer Support: Connect to knowledge base, identify product improvements, auto-create FAQs, provide real-time guidance.
- →Product & Design: Improve product copy, analyze customer sentiment, extract competitor insights, generate user stories.
- →Engineering: Review code, auto-create docs, compile incident timelines, generate SQL.
- →Data & Analytics: Enable non-technical teams to query data, automate reporting, transform insights, connect data sources.
- →Automate end-to-end digital tasks
- →Produce websites and presentations
- →Conduct broad research
- →Hand off browser tasks to an agent
- →Chat with many AI models in one place
- →Build and deploy ML models
- →Automate tasks with AI agents
- →Running LLM inference at high speed
- →Cutting inference costs at scale
- →Powering low-latency AI chat apps
- →Serving models via a hosted API
- →Renting GPUs for model training and fine-tuning
- →Deploying low-latency real-time inference APIs
- →Running AI agents that need to scale instantly
- →Processing compute-heavy batch or distributed workloads