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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.
Enterprise AI/AR beauty tech provider whose virtual try-on and skin-analysis SDKs power try-before-you-buy experiences for cosmetics brands.
Free, no-login AI tool that removes objects, people, text, and watermarks from images and videos online.
No public pricing
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
- ✦AR virtual try-on for makeup, hair color, and eyewear
- ✦AI-based skin analysis and diagnostics
- ✦Product recommendation engines for retail sites
- ✦SDK/API integration for brand websites and apps
- ✦AI object, person, and text removal
- ✦Watermark and logo removal for images and videos
- ✦Auto and manual (brush/lasso) selection modes
- ✦Supports JPG, PNG, WEBP, BMP up to 20MB
- ✦Batch editing and background eraser
- ✦No sign-up needed for free tier
- →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
- →Adding try-before-you-buy makeup try-on to a cosmetics e-commerce site
- →Offering AI skin diagnostics in-store or online
- →Letting eyewear retailers show virtual glasses fitting
- →Remove watermarks from photos and clips
- →Erase strangers from travel shots
- →Clean product images for listings
- →Delete text or stickers from memes