EU-built control plane for enterprise AI that governs every LLM and MCP call
Everything has an algorithm
Stage
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Founded
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Based in
NL
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Pricing model
Freemium
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Pricing
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 €
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Key features
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
Constant-state attention: models serve any context length from the same memory per request
HCGM: models run from disk storage instead of memory
M-Rail: context processed by a model can be reused instantly in future requests
CPUDA/sGPU: run unmodified CUDA programs on CPUs with bit-identical results
Organ grafting: transfer capabilities between models without training
Personal instruction set (ISA) compiled on device from phone signals
Population ISA: compile laws from many people without personal records
Digital twins of customers, fleets, cities or markets
Results identical across all machines and architectures
Computation cost follows novelty not data size
What makes it different
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
Constant memory cost regardless of context length or data size
Exact reuse: every computed result is kept and reused instantly
Portable execution with bit-identical results across all hardware
Models run from storage without retraining or fitting in memory
Privacy-preserving: raw data never leaves the device