AnonRouter
AnonRouter is a hosted AI model router and API for developers building AI applications. It provides one OpenAI-compatible endpoint for accessing models from multiple providers, with a model catalog, per-model pricing and privacy labels, routing, and automatic failover. Developers can connect compatible clients by configuring the endpoint and an API key, or use the browser-based Chat and Studio for text, image, and speech models. Requests are billed from prepaid credits, with usage priced by model and additional fees on credit purchases. Depending on the selected model and provider, requests may use standard processing, private handling, a trusted execution environment, or end-to-end encryption where available. AnonRouter is designed for developers, AI teams, and individual users who want to build, connect, or test applications with multiple AI models through a shared interface.
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SeedRouter
SeedRouter is a usage-based API platform for accessing image, video, language, and audio AI models through one API key and prepaid balance. It provides OpenAI-compatible endpoints for language models and asynchronous task APIs for media generation. Developers can manage keys, monitor request status, and review model-level usage and costs in a dashboard. SeedRouter is designed for developers and product teams integrating multiple AI model families into applications.
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Pioneer
Pioneer is an inference API built for developers who would rather ship than babysit a GPU cluster. It lets teams point an existing OpenAI, Anthropic, or other client at Pioneer, keep the same API and code, and run inference like normal while Pioneer finds where the current model falls short. It clusters production traffic by use case, surfaces where accuracy, latency, or cost can improve, then builds and routes to small specialist models automatically. Its continuous improvement loop, Adaptive Inference, mines live production failures for high-signal examples, retrains a specialist model, evaluates the new checkpoint, and promotes improvements behind the same endpoint without requiring redeployment. Pioneer supports encoder models for structured extraction tasks such as named entity recognition, text classification, structured JSON extraction, privacy filtering, and safety classification, as well as decoder models for text generation, classification, open-ended prompting, etc.
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TensorZero
TensorZero is an open source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation. It creates a feedback loop for optimizing LLM applications, turning production metrics and human feedback into smarter, faster, and cheaper models and agents. The gateway lets teams integrate once and access every major LLM provider through a single unified API, including API and self-hosted models, with support for tool use, structured outputs, batch inference, embeddings, multimodal inputs, caching, routing, retries, fallbacks, load balancing, granular timeouts, usage tracking, custom rate limits, and provider-key protection. Built for performance in Rust, TensorZero is designed for extreme throughput and low-latency production workloads while still letting teams adopt only the components they need. Its observability layer stores inferences and feedback in the user’s own database, available programmatically or through the open source UI.
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