Hosted open models, optimized proprietary endpoints, and turnkey deployment to real users: all behind a simple interface.
Empirio Labs is a specialized AI inference and integration provider.
- Open-source model hosting: Select open-source models deployed on our own GPU infrastructure with extended context, higher resolution support, and tuned performance.
- Optimized proprietary endpoints: Commercial APIs and partner endpoints integrated behind our own formatting and behavior layer, exposed as ready-to-use chat and API endpoints.
- Deployment and consulting for custom models: Packaging, deployment, and operations for companies and model builders shipping their models to real users, including distribution.
- Competitive pricing. Models on our infrastructure can run up to 90% cheaper than other inference providers, with select proprietary endpoints up to 77% under standard rates. Fixed per-message pricing is available on select models.
- Pay-as-you-go, not locked plans. Usage is metered through our endpoints, even for upstream providers that otherwise require monthly subscriptions.
- Higher rate limits than going direct. Build without the restrictive limits imposed by upstream providers.
- Day-0 model support. New models and capabilities roll out quickly on our stack with routing, pricing, and usage limits wired up from day one.
- Standard, specialty, and tuned models. Popular models alongside open-source and proprietary endpoints unavailable elsewhere, with the full model settings other providers lock away.
- Get an API key: create a project-scoped key in your dashboard.
- Read the quickstart: follow the Getting Started guide to make your first authenticated request.
- Explore the reference: use the API Reference to inspect schemas, examples, and responses.
| Website | empiriolabs.ai |
| Documentation | docs.empiriolabs.ai |
| API Reference | docs.empiriolabs.ai/api-reference |
| System Status | status.empiriolabs.ai |
| Blog | empiriolabs.ai/blog |
| Changelog | docs.empiriolabs.ai/documentation/changelog |
| Support | [email protected] |
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