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All-in-one AI suite for photo editing, background removal, upscaling, and image/video generation, aimed at e-commerce and creators.
AI observability and evaluation platform to trace, evaluate and improve LLM agents in production, with an open-source Phoenix core.
Open-source AI-native API gateway for routing, protecting and caching LLM/agent traffic, with a paid managed cloud.
Observability and evaluation platform for production LLM agents, built on OpenTelemetry for tracing, monitoring and testing.
Free AI background remover that produces clean transparent PNG cutouts from images in a few seconds.
No public pricing
No public pricing
No public pricing
- ✦Automatic background removal for photos and video
- ✦AI photo enhancement and upscaling
- ✦Face cutout and portrait/headshot generation
- ✦Text-to-image and image-to-video model access
- ✦E-commerce tools: product staging, virtual try-on, posters
- ✦Developer API plus desktop, mobile, and Shopify apps
- ✦Agent and LLM tracing
- ✦Large-scale evaluations
- ✦Open-source Phoenix observability
- ✦Alyx AI engineering agent
- ✦OpenTelemetry-based instrumentation
- ✦Experiments and prompt playgrounds
- ✦Unified proxy and protocol conversion across 100+ LLMs
- ✦Model-level fallback and routing
- ✦Semantic and exact-match AI caching
- ✦Token tracking and quota controls
- ✦Content-safety and data-protection filtering
- ✦MCP service hosting and plugin marketplace
- ✦OpenTelemetry-native distributed tracing across 100+ LLMs and frameworks
- ✦Online evaluation via LLM-as-a-judge or code
- ✦Offline experiments and regression detection
- ✦Annotation queues for expert review
- ✦Alerts and drift detection
- ✦Prompt management, CLI and docs MCP server
- ✦Automatic AI background removal
- ✦Transparent PNG output
- ✦Modes for general, logo, text and anime images
- ✦Multiple precision models
- ✦Batch background removal
- ✦Runs free in the browser, no signup
- →Prep product photos for online stores
- →Batch-remove backgrounds from images or clips
- →Generate marketing posters and social visuals
- →Create professional headshots from selfies
- →Debugging AI agents in production
- →Measuring LLM output quality
- →Catching regressions before deploy
- →Centralizing access to multiple LLM providers
- →Building and governing AI agent/MCP services
- →Controlling token spend across teams
- →Adding caching and safety to LLM calls
- →Debugging multi-agent systems
- →Monitoring live agent quality at scale
- →Catching regressions before release
- →Human review of edge cases
- →Aligning automated evaluators with domain experts
- →Creating transparent product images
- →Cleaning backgrounds for profile pictures
- →Preparing graphics for social media
- →Bulk-removing backgrounds for e-commerce