One platform, three working surfaces
SchneeAI is built around three integrated surfaces. Each can be adopted independently, but they share the same identity, observability, and control model — so the platform grows with your AI footprint instead of fragmenting it.
AI Gateway
A single REST entry point for OpenAI, Anthropic, Google, and open-source models. Standardize auth, apply routing and fallback, and capture every interaction as structured usage.
PromptOps
Version, test, and deploy prompts across environments. Move prompts out of application code and into a registry with assignment, environment control, and rollback.
AI Control Plane
Observe usage, control costs, manage access, and keep AI operations auditable. Configure tenant limits, service budgets, retention windows, and review flows in one place.
Built for controlled AI operations
- Identity-aware from day one. Every request carries a service, tenant, and user — so controls and logs always reflect who did what.
- Observable by default. Each interaction produces structured usage records you can search, aggregate, and export.
- Configurable, not rigid. Turn on caching, retention, safety events, and approvals where they matter; leave them off where they don’t.
- Designed for auditability. Capture the records your reviewers and stakeholders expect, without bolting logging on after the fact.
How teams use SchneeAI
| Surface | Primary users | What it gives them |
|---|---|---|
| AI Gateway | Backend & platform engineers | One API for every model, with routing, retries, and limits |
| PromptOps | Product & ML engineers | Prompt registry with versioning and environment control |
| AI Control Plane | Operations, finance, security | Usage, cost, audit, and tenant controls in one place |
Adoption path
- Route the first model through the AI Gateway.
- Register the first prompt in PromptOps.
- Configure budgets, retention, and access in the Control Plane.
- Expand to additional services and tenants as your AI footprint grows.
SchneeAI is designed to grow with you — start with one service and one model, then extend across teams.