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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.
Browser-based all-in-one photo editor for removing objects, backgrounds, and text, and batch-enhancing images with AI.
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No public pricing
- ✦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
- ✦One-touch object and unwanted-text removal
- ✦AI background removal with templates
- ✦Automatic photo enhancement and upscaling
- ✦AI skin retouching
- ✦Batch processing up to 50 photos at once
- ✦API access for automated workflows
- →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
- →Cleaning up social media photos before posting
- →Preparing ecommerce product photos at scale
- →Removing photobombers or distracting objects from images
- →Restoring and sharpening blurry personal photos