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End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
Open-source node-based engine for visual AI, giving pros granular control to build image, video, and 3D generation workflows.
Data-foundation platform unifying product, customer, and order data via 2,600+ integrations to power AI agents for e-commerce ops.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
Undetectable desktop AI assistant that feeds real-time answers during coding and technical interviews.
No public pricing
No public pricing
No public pricing
- ✦Smart data annotation with SAM-powered one-click masks across six task types
- ✦Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
- ✦Support for YOLOv5 through YOLO26 model families
- ✦One-click deployment across 43 global regions with auto-scaling
- ✦Export to 18 formats including ONNX, TensorRT, and CoreML
- ✦Live training metrics and experiment comparison dashboard
- ✦Node-based workflow canvas
- ✦Simplified App Mode view
- ✦Community workflow templates and hub
- ✦Comfy Desktop (local) and Comfy Cloud
- ✦Comfy API for production endpoints
- ✦60,000+ nodes and many models
- ✦2,600+ native integrations
- ✦Two-way data synchronization
- ✦Unified single-source-of-truth database
- ✦Ready-to-deploy AI agents (PIM, pricing, enrichment)
- ✦Sits under automation tools (Make, Zapier, n8n)
- ✦Enterprise security (ISO 27001, SOC 2, GDPR)
- ✦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
- ✦Real-time AI answers during technical interviews
- ✦Invisible to screen sharing and recording
- ✦Hidden from dock, tray and activity monitor
- ✦Click-through overlay
- ✦Live audio capture and transcription
- ✦Lifetime unlimited access license
- →Building and training custom object detection or segmentation models
- →Labeling large image/video datasets for computer vision projects
- →Deploying vision models to edge or mobile devices
- →Running quality control or defect detection in manufacturing
- →Powering retail, logistics, or agriculture vision applications
- →Building custom image/video/3D pipelines
- →VFX, advertising, gaming, and ecommerce content
- →Running workflows on cloud GPUs
- →Deploying workflows as production APIs
- →Centralizing and cleaning product catalog data
- →Automating product enrichment and pricing
- →Syncing data across suppliers and channels
- →Powering AI agents on unified business data
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app
- →Getting live help on coding interview problems
- →Answering technical questions in real time
- →Avoiding detection during screen-shared interviews