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Open-source platform to build, deploy and monitor agentic AI workflows and RAG apps, with cloud, self-host and enterprise options.
Enterprise Work AI platform for company-wide search, an AI assistant and building governed agents across 250+ connectors.
Weights & Biases is a widely used MLOps platform for experiment tracking, model management and evaluating AI applications.
All-in-one AI platform for generating images, videos, and character chat, for creators wanting one tool spanning multiple AI models.
Online photo editor and design platform with AI image/video generation, retouching, background removal and templates.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦Visual workflow studio for agents
- ✦RAG knowledge pipelines
- ✦Agent runtime with tools and memory
- ✦Marketplace of models and plugins
- ✦Publish as app, API or MCP tool
- ✦Logging, analytics and monitoring
- ✦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
- ✦Experiment tracking and visualization for ML training runs
- ✦Model and artifact versioning and management
- ✦Hyperparameter optimization tooling
- ✦Collaborative dashboards and reports for ML teams
- ✦LLM application tracing and evaluation tooling
- ✦Text-to-image and image-to-video generation
- ✦Access to multiple AI models (Veo, Sora, Kling, Seedream, Flux, and others) in one place
- ✦AI character chat with roleplay personas
- ✦Image editing tools including upscaler, eraser, and background remover
- ✦Motion control and camera movement effects for video
- ✦Community feed for exploring and remixing creations
- ✦AI image generator
- ✦AI video generator
- ✦Photo editing and retouching
- ✦Background removal
- ✦AI presentation maker
- ✦Design templates
- →Building AI agents and chatbots
- →Creating RAG-based knowledge apps
- →Deploying LLM apps at enterprise scale
- →Search across all company knowledge
- →Answer employee questions with grounded AI
- →Build and deploy custom AI agents
- →Automate cross-system workflows
- →ML engineers tracking and comparing training experiments
- →Research teams versioning datasets and model checkpoints
- →Teams building and evaluating LLM-powered applications
- →Organizations collaborating on machine learning projects
- →Creators wanting one interface to try multiple AI image/video models
- →Hobbyists generating art, avatars, or short videos
- →Users interested in AI character chat and roleplay
- →Content creators making short-form video effects for social media
- →Editing and enhancing photos
- →Generating AI images and video
- →Creating social and marketing visuals
- →Making presentations and designs