AI Control Platform

Build safe AI into every product.

Route models, manage prompts, control usage, and keep AI operations observable — across every service. One platform for production AI, designed for controlled operations from the start.

Demo workspace
Total requests
1,284,932
Success rate
99.4%
Est. cost (24h)
$84.21
// Recent activity POST /v1/chat/completions 200 412ms openai:gpt-4 POST /v1/chat/completions 200 823ms anthropic:claude POST /v1/chat/completions 200 305ms google:gemini-pro

One platform for production AI.

Route models, manage prompts, control usage, and keep AI operations observable — across every service.

AI Gateway

Connect multiple AI models through one secure API with routing, fallback, retries, and usage limits.

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PromptOps

Version, test, and deploy prompts safely across environments and services.

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AI Control Plane

Observe usage, control costs, manage access, and keep AI operations auditable.

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Use cases

Where SchneeAI fits in your stack.

Patterns we see again and again — and how the platform supports them. From customer-facing AI to internal tools to developer workflows.

Customer support automation

AI-assisted replies, ticket summarization, and triage — with PII scanning and audit.

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Internal knowledge assistant

RAG-backed answers with team-aware budgets, tenant isolation, and full audit.

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Code review automation

Diff-level PII scanning, per-repo configuration, and cost backed by credits.

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Content generation pipeline

Prompt versioning, brand voice controls, and per-campaign cost attribution.

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Built for teams shipping AI features.

From product teams adding chat to operations managing cost — SchneeAI gives every role the right controls.

Product Teams

Ship AI features across multiple services with one shared platform.

Developers

Use one API, REST interface, and future SDKs to integrate AI consistently.

Trust & Safety

Review unsafe content, detect abuse, and keep human review in the loop.

Operations

Track usage, costs, latency, errors, and model behavior.

For Developers

One API. Every model.

Use a single REST interface to route requests across OpenAI, Claude, Gemini, and OSS models. Apply policies, control budgets, and keep every interaction observable.

# Send a request through SchneeAI Gateway curl https://api.schneeai.com/v1/chat/completions \ -H "Authorization: Bearer $SCHNEEAI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "auto", "messages": [ { "role": "user", "content": "Summarize this report." } ] }'
Security-first

Designed for controlled AI operations.

SchneeAI is built with observability, access control, tenant isolation, and data controls from the start — not bolted on later.

Tenant isolation

Separate AI usage and controls by tenant, service, or environment.

Audit logs

Keep structured records of requests, changes, and operational events.

Access control

Manage who can access prompts, logs, policies, and configuration.

Rate limits

Set limits by service, user, tenant, or API key.

Budget controls

Define usage and cost limits for AI-powered features.

Data retention controls

Configure how long AI logs and request metadata are retained.

PII handling

Support safer handling of sensitive user data.

Human approval flows

Add review steps for high-risk AI workflows.

Ready to ship AI with the right controls?

Talk to us about your use case, or start exploring the AI Gateway, PromptOps, and Control Plane.