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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.
AI image upscaler to enlarge and sharpen photos, anime and product images by 2x-4x, with a free monthly tier.
Free AI image upscaler to enlarge and deblur photos up to 16K, with restoration and enhancer tools; no signup to start.
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- ✦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
- ✦AI super-resolution upscaling 2x/4x
- ✦Detail and edge preservation
- ✦Support for anime, product and portrait images
- ✦Batch processing on paid tiers
- ✦Reimagine AI access
- ✦Separate desktop apps
- ✦AI upscaling up to 16K
- ✦Unblur and sharpen
- ✦Old photo restoration
- ✦Face and photo enhancer
- ✦Image-to-image and AI photo editor
- ✦No-registration free use
- →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
- →Enlarging low-resolution photos
- →Upscaling anime or product images
- →Sharpening soft or old pictures
- →Batch-upscaling images for work
- →Enlarging low-resolution photos
- →Fixing blurry or soft images
- →Restoring and enhancing old photos
- →Upscaling for print or display