REDUCE AI COSTS AUTOMATICALLY

One gateway.
Full control.
Lower AI costs.

Automatically route to cheaper models and cache responses to cut your AI costs, with built-in usage tracking and optional limits.

// how it works

Three steps to production

From zero to a fully controlled LLM gateway in minutes.

STEP_01

Tenants onboard their LLM provider keys — encrypted at rest with AES-256 Fernet. Keys are never exposed in logs or responses.

STEP_02

Employees receive scoped JWT tokens. Define model access, rate limits, and cost budgets per user or team — no key sharing required.

STEP_03

Routing, rate limiting, semantic caching, and usage tracking happen transparently. Full audit trail per tenant, per user, per call.

// capabilities

Production-grade primitives, not demos.

AES-256 Fernet encryption for all stored keys. Encrypted before persistence, decrypted only in memory at call time.

Complete data separation per organization. Keys, usage data, and configuration are fully isolated — no cross-tenant leakage.

Granular RPM, TPM, and concurrency controls scoped per user and per tenant. Prevents runaway costs before they happen.

Unified interface across OpenAI, Anthropic, Gemini, Groq, Mistral, and Cohere. Switch providers without changing client code.

pgvector cosine similarity matching skips redundant LLM calls for semantically equivalent prompts. Cut costs without degrading quality.

Token consumption, cost attribution, and latency breakdowns per tenant. Full observability into your LLM spend.

coming soon