Everyone built the brain. Nobody built the workspace.
The AI industry spent $200B on intelligence. Almost nothing on a trusted environment where agents actually work. The agentic data space is live infrastructure. 450+ organizations across 23 countries with 2,500+ data assets.
Live Infrastructure. Not a Roadmap.
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Your AI Agents Are Broken by Design
Every agent framework assumes unlimited access to data and a compliant environment. Ask any CDO deploying AI on sensitive supply chain telemetry, classified engineering specs, or cross-border financial data: that assumption is already broken.
Get early access to agentic data spaces
Join 400+ organizations already building on Pontus-X. Early access members get priority onboarding, direct product input, and first access to new AI capabilities.
Standard AI vs. Sovereign AI Agents
The difference isn't a smarter model. It's the infrastructure underneath.
Standard AI Agents
How most agent frameworks work today
Sovereign Agents on Pontus-X
Agents as trusted participants in a data ecosystem
What is an Agentic Data Space?
A trusted environment where AI agents are first-class participants. They have their own identity, scoped permissions, and the ability to discover, negotiate, and compute on sensitive data across organizations.
The infrastructure layer nobody built
LLMs gave agents intelligence. Frameworks gave them the ability to act. But where does an agent safely access sensitive data? Where does it prove its identity? Where does it log every decision for replay a year later? These are infrastructure problems, not intelligence problems. The agentic data space solves them.
Pontus-X Skills for AI Agents
8 capabilities that turn any AI agent into a trusted participant in a sovereign data ecosystem. Connect once and operate across the entire data space.
Discover
Search and discover 2,500+ datasets across 450+ organizations in 23 countries using semantic search or natural language.
Publish
Publish data with full control over who can access it, how it can be used, and under what conditions.
Compute
Run computations on data you're not allowed to download. The algorithm travels to the data. Only results come back.
Comply
Automatic compliance verification for GDPR, Data Act, and AI Act. Not a checklist. Built into every interaction.
Identify
Each agent gets its own verified digital identity. A credential that proves who deployed it and what it's allowed to access.
Audit
Every action logged with immutable, verifiable lineage. Who, what, when, and why. Replayable years later.
Transact
Settle data access with real-time e-money payment. Monetization and incentive systems built into the infrastructure.
Collaborate
Cross-organizational data projects that used to take 6-18 months of legal setup now take minutes.
Sovereign AI Starts with Agent Identity
An API key doesn't prove who an agent is, who deployed it, or what data it may access. Inside an agentic data space, agents carry verifiable credentials: cryptographic proof of identity, role, and permissions.
Verifiable Agent Credentials
Your newest employee goes through onboarding, gets scoped permissions, and shows up in an org chart. Your AI agent should work the same way. Inside Pontus-X, agents carry W3C-standard verifiable credentials issued by the organizations that deploy them. The data space checks: Is this agent authorized? By whom? For what data? Under what conditions?
API Key Authentication
A bearer token. Anyone who has it can use it. No principal behind it. No delegation chain. When Agent A delegates to Agent B, who authorized the data access? No way to trace it back.
Verifiable Credentials
Cryptographic proof of identity, role, and permissions. Every action attributable to a specific principal chain. Access scoped, logged, and revocable in real time.
How Sovereign AI Agents Work on Pontus-X
Four steps from identity verification to auditable results. No data movement. No manual setup.
AI agents authenticate with verifiable credentials, not API keys. The data space knows who deployed the agent, what it's authorized to access, and when that access expires.
Agents search across 2,500+ data assets using semantic search or natural language. Across organizations, across borders.
Your AI workload runs inside the data owner's secure environment via Compute-to-Data. The data never moves. Only approved results leave.
Every action logged with immutable, verifiable provenance. Who accessed what, when, why, and what was computed. Fully replayable and auditable.
Three Levels of Data Sovereignty
Not every AI task needs the same security posture. Choose the right level of control per dataset, per agent, and per task.
Frequently Asked Questions
Agentic Data Spaces
An agentic data space is a trusted environment where AI agents are first-class participants. Agents can discover data, prove their identity with verifiable credentials, run computations inside secure enclaves via Compute-to-Data, and settle access. All within a single, trusted infrastructure. Pontus-X is the largest open data ecosystem in Europe with 450+ organizations across 23 countries.