Neuro.io provides a sovereign AI compute hyperscaler designed for regulated industries such as healthcare and pharma.
Funding
Funding not disclosed
Founders
Product
Problem
Regulated industries such as healthcare and pharma face limited AI compute options that meet strict data residency, encryption, and compliance requirements (e.g., HIPAA, EU AI Act, FDA SaMD). Existing hyperscalers often provide shared infrastructure, making it difficult to achieve verifiable isolation and control over encryption keys, which prolongs certification cycles and increases risk.
Solution
Neuro.io delivers a sovereign AI compute hyperscaler built specifically for regulated‑industry workloads. The platform combines multi‑vendor accelerators—including NVIDIA, SambaNova, Cerebras, and Axelera—to support frontier reasoning and agentic models while maintaining high performance. Isolated private networking and region‑specific sovereign nodes (Louisiana, Geneva, Abu Dhabi) provide data residency and verifiable isolation required for EU AI Act and FDA SaMD pathways. Customers retain full control of encryption keys and access policies, enabling HIPAA‑ready deployments and faster certification. The infrastructure is designed for scale, offering up to 70 MW capacity at the Louisiana campus and expandable nodes in other jurisdictions.
Target Audience
Primary customers are healthcare providers, pharmaceutical companies, and other regulated enterprises that need high‑performance AI compute with strict compliance, data‑sovereignty, and security guarantees.
Features
- Multi‑vendor accelerator support (NVIDIA, SambaNova, Cerebras, Axelera) for diverse AI workloads
- Sovereign compute nodes with regional data residency (Louisiana, Geneva, Abu Dhabi)
- Isolated private networking that satisfies EU AI Act compliance and FDA SaMD requirements
- Customer‑controlled encryption keys and granular access‑policy management
- HIPAA‑ready environment with built‑in security and operational excellence
- Scalable power capacity (4 MW online, expandable to ~70 MW) to handle large‑scale training and inference