The AI-Ready Data Space for Sovereign AI
Build, deploy, and operate AI directly on distributed, sensitive data without centralizing it, copying it, or giving up control. From AI agents and analytics pipelines to federated training and decision support all with built-in data sovereignty and regulatory compliance.
Built for AI Execution, not Just Data Exchange
Pontus-X is an AI-native execution layer where agents, models, and algorithms securely discover data, evaluate usage rights, and run intelligence workflows directly at the source. No raw data movement. No blind trust. Full operational control.
Trusted Where AI Meets Real-World Constraints
More than 200 organizations rely on Pontus-X to operate AI on data that cannot be centralized, copied, or exposed across aerospace, manufacturing, mobility, agriculture, and the public sector.
AI-Native by Design
Pontus-X enables a new class of AI systems like agents, models, and analytics workflows that operate seamlessly across distributed, sovereign data sources as if they were one, without ever breaking ownership, compliance, or trust boundaries.
Execute AI on data that must never move
Compute-to-Data allows AI workloads to run directly within controlled environments owned by data providers. Algorithms are deployed to the data, executed securely, and return only approved outputs, never raw data. Used by 200+ organizations for sensitive AI workloads across aerospace, manufacturing, mobility, and agriculture.
Stronger models without centralization
Train shared AI models across distributed datasets while each organization retains full control of its data. Enable cross-organization learning, benchmarking, and collective intelligence without data pooling.
Interact with data spaces through AI
MCP integration allows AI agents to discover datasets, interpret usage rights, request access, and execute analytics using natural language or APIs. Agents connect once and operate across the entire data space.
AI-Ready Data Space
Q: Can I train AI on data I’m not allowed to download?
A: Yes. Compute-to-Data runs your algorithms inside trusted execution environments. You receive approved outputs, never raw data.
Q: How do AI agents interact with Pontus-X?
A: Via MCP. Agents can discover data, interpret licenses, request access, execute analytics, and generate insights using natural language or APIs.
Q: Why is this different from a data lake or marketplace?
A: Data lakes centralize data. Marketplaces trade access. Pontus-X lets AI operate across data while it remains distributed and sovereign.
Q: Is this compliant with EU regulations?
A: Yes. Pontus-X is built for GDPR, the AI Act, and the Data Act, using Gaia-X credentials, auditability, and compute-to-data controls.
Q: What kind of AI use cases work best?
A: High-value, high-risk use cases: federated recommendations, cross-company optimization, regulated AI, public-sector analytics, and industrial intelligence.
Trusted by Our Partners
Start Building Sovereign AI in Days, Not Months
Whether you’re deploying AI agents, training federated models, or building next-generation recommendation systems, Pontus-X gives you a production-ready foundation. Fast-track onboarding takes ~24 hours.