AI compute from the edge to cloud with breakthrough efficiency and sustainability
EU-built control plane for enterprise AI that governs every LLM and MCP call
Stage
Not given
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Founded
2022
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Based in
US
NL
Pricing model
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Freemium
Pricing
Not given
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
Analog in-memory computing architecture
Multiple form factors from chiplets to PCIe cards
20x higher efficiency than industry-leading products
9x higher compute density than industry-leading products
10x lower total cost of ownership for inference
100x lower CO2 emissions versus cloud
On-device and local processing for data privacy
Seamless edge-to-cloud orchestration
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
Only scalable analog in-memory computing platform overcoming fundamental limits of digital approaches
Unmatched efficiency enabling advanced AI models without power or space constraints
Extreme cost savings with 10x lower TCO compared to cloud-based inference
Drastically reduced environmental impact with 100x lower CO2 emissions
Leadership team with 20+ years of AI hardware and semiconductor innovation
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