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Cloud-hosted ComfyUI with ready-made GPUs and 200+ templates so anyone can run AI image/video pipelines without local setup.
AI platform for brand research and strategy; coherent research tool.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Developer framework and LlamaParse service for parsing documents and building AI agents and RAG workflows over them.
TypeScript backend-as-a-service with a reactive database, server functions, auth and file storage for full-stack and AI apps.
No public pricing
No public pricing
- ✦Cloud-hosted, unmodified ComfyUI with no local install
- ✦200+ ready-to-run workflow templates
- ✦On-demand GPUs from 16GB to 141GB VRAM
- ✦Direct model downloads from Civitai and Hugging Face
- ✦One-click deployment of workflows as a serverless API
- ✦Shareable workflow environments for team collaboration
- ✦Automated workflows for brand strategy
- ✦Real-time data from social, ad libraries, and premium providers
- ✦Customizable workflows with no code required
- ✦Private and confidential workspace
- ✦Collaboration and export tools
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- ✦LlamaParse document parsing and extraction
- ✦Open-source framework for AI agents and workflows
- ✦Document indexing for retrieval/RAG
- ✦Prebuilt solutions by industry and use case
- ✦Free starter credits for LlamaParse
- ✦Reactive real-time database
- ✦TypeScript server functions (queries/mutations/actions)
- ✦Built-in authentication
- ✦Cron jobs and backend workflows
- ✦File storage, text and vector search
- ✦ACID transactions; open-source/self-host
- →Artists running ComfyUI workflows without owning a powerful GPU
- →Teams sharing reproducible creative pipelines with custom nodes/models
- →Developers turning a ComfyUI workflow into a production API endpoint
- →Brand research
- →Audience insights
- →Last-minute pitches
- →Competitive intel
- →Regional market research
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Parse complex documents for AI apps
- →Build RAG and agent workflows
- →Automate invoice and claims processing
- →Search across technical documents
- →Building real-time reactive apps
- →Backends for AI agents
- →Replacing Firebase or Supabase
- →Full-stack TypeScript development