AI API relay station providing access to multiple AI models with unified billing
EU-built control plane for enterprise AI that governs every LLM and MCP call
Stage
Startup
Not given
Founded
2026
Not given
Based in
Not given
NL
Pricing model
Paid
Freemium
Pricing
Pay-as-you-go with Alipay top-ups. Minimum charge ¥10, exchange rate ¥1 = $1 credit. Pricing varies by model and group: GPT models from $0.02 input / $0.12 output per million tokens in the 0.1x group; Claude models from $0.50 input / $3.00 output per million tokens in the 0.4x group; Grok models ava
Pay-as-you-go: 1M free requests per month with BYOK (bring your own keys), then 4% fee; 4.5% fee on Orq.ai keys. Included monthly: 100k spans, 1 GB processed data, 500 agent runs, unlimited AI Gateway seats. AI Studio seats €35/seat/month. Spans €7 per 100k after included allowance. Processed data €
Key features
Group-based API key management with separate billing multipliers from 0.1x to 0.7x
Unified balance across multiple AI model providers
OpenAI-compatible endpoint requiring only Base URL change
Support for Claude Messages interface for Claude models
Anytime balance withdrawal with no fees
Base64 image input support
OpenAI-compatible API for 500+ models from 30+ providers
MCP Gateway for governed tool calls
Budgets, spend limits and guardrail enforcement
PII detection and redaction
Agent Runtime for single and multi-agent systems
Knowledge bases with RAG and document processing
EU data residency and GDPR compliance
SOC 2 Type 2 attestation and compliance tools
Audit logs and comprehensive activity tracking
What makes it different
Lowest pricing multipliers in the market at 0.1x baseline
Unified billing across different model providers with single balance
No withdrawal fees for unused balance
Simple integration with only Base URL change needed
EU-built platform with sovereignty and data residency control
Single control plane for both AI traffic and autonomous software delivery
No vendor lock-in with bring-your-own-keys and easy data export
Governance applied in real-time during execution, not after the fact
Humans remain in control of critical decisions in autonomous software delivery