REDUCE AI COSTS AUTOMATICALLY

One gateway.
Every model.
Lower AI costs.

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

Start Saving CostsView Docs
1KeyCore gateway architecture

// how it works

Three steps to production

From zero to a fully controlled LLM gateway in minutes.

STEP_01

Register your API keys

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

STEP_02

Issue employee access

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

STEP_03

Gateway handles the rest

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

// capabilities

Everything your infra needs

Production-grade primitives, not demos.

BYOK Encryption

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

Multi-tenant Isolation

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

Rate Limiting

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

Model Routing

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

Semantic Cache

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

Usage Tracking

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

coming soon

supported providers

openaianthropicgeminigroqmistralcohere
6
providers supported
<50ms
gateway overhead
100%
tenant isolation

// early access

Be first through the door

Drop your email and you'll be among the first to get access when the dashboard is ready.

Or create an account if you're ready to start.