NeuroCluster provides a sovereign AI cloud platform built on European‑only data centers, offering Kubernetes‑based compute, a lakehouse with vector search, and a full MLOps stack. The platform embeds policy‑driven governance, RBAC, immutable audit logs and human‑in‑the‑loop controls to meet GDPR, EU AI Act, and other regulated‑sector requirements. It supports shared, dedicated, or on‑premises deployments for large enterprises in energy, finance, government, and healthcare.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises operating in regulated sectors must run AI workloads while complying with strict data‑residency, GDPR, and EU AI Act requirements. Existing public‑cloud providers expose data to non‑European jurisdictions and lack built‑in governance, making auditability and legal compliance costly and risky.
Solution
NeuroCluster delivers a sovereign AI cloud platform that runs exclusively on European infrastructure, guaranteeing that all compute, storage, and telemetry remain within EU borders. The platform integrates a Kubernetes‑based cloud foundation, a lakehouse with vector search and streaming ingestion, and a full MLOps stack for model versioning, routing, and automated deployment. An execution layer supports autonomous agents and multi‑step workflows, with policy‑driven controls that enforce human‑in‑the‑loop approvals, RBAC, and immutable audit logs. Governance is baked into every service, providing deterministic lineage and compliance‑ready documentation without requiring a separate engineering effort. Customers can start on a shared, move to a dedicated tenant, or deploy the entire stack on‑premises for air‑gapped environments, all with a single unified interface.
Target Audience
The platform is aimed at large enterprises in regulated industries—energy and infrastructure operators, insurance and financial services firms, government agencies, and healthcare providers—that require sovereign AI infrastructure and end‑to‑end compliance assurance.
Features
- European‑only data centers with BIO and NEN7510 certifications, ensuring zero exposure to US CLOUD Act jurisdiction.
- Kubernetes foundation with isolated namespaces, supporting shared, dedicated, and private deployment postures.
- Lakehouse architecture offering relational tables, vector similarity search, and real‑time streaming connectors for enterprise data pipelines.
- Integrated MLOps pipeline: model registry, automated versioning, canary routing, and graceful fallback for open‑source or custom models.
- Agent orchestration engine (e.g., SwarmOps) enabling multi‑agent planning, task delegation, and autonomous job execution under explicit policy boundaries.
- Governance layer with granular RBAC, SSO integration, immutable cryptographic audit trails, and configurable human‑approval gates for high‑risk actions.
- Policy engine that enforces budget caps, usage quotas, and data‑access constraints, generating compliance‑ready logs for EU AI Act audits.
- API‑first design with REST/GraphQL endpoints for seamless integration with existing ERP, CRM, and EHR systems.