★ EU Banking · Insurance · Healthcare · Any data-driven sector

Your restricted data. Finally usable. From production to safe test, analytics and AI.

Pseudia is the platform that turns the production data your organisation cannot use today into realistic, consistent data for development, testing, analytics and AI (LLMs, copilots and agents included), without exposing a single customer or patient identity.

Try it now → Request a demo

No credit card required · 1-on-1 expert call · Sovereign EU solution

15d → <1d
Time to usable data for a project
0
Real identities in test, staging & AI
<1d
API integration in your stack
100%
EU · keys under EU law
admin-panel.pseudia.eu
Pseudia console: workspace overview showing sources, environments and configurations
✓ Reversible by design
★ EU Sovereign · Belgium
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Backed by
Start it @KBC Startup accelerator · Belgium
🏦 Built for banking, insurance, healthcare & any data-driven sector
·
🤖 AI pilots start in days, not months
·
⚖️ GDPR compliance documented, not declared
·
🇪🇺 100% EU no data outside scope
Why a platform

Not another masking feature.
The platform that unlocks your data.

Your cloud and data tools can mask a column. They do not give your teams a governed, repeatable way to turn restricted production data into data they are allowed to use (for test, analytics and now AI). Pseudia does, across every source, every environment and every team.

🛡️

Customers and patients stay protected

An NDA does not prevent a leak: it only gives you a lawyer afterwards. Pseudia removes real identities before data leaves production.

  • Account holders, policyholders and patients never appear in dev, test or analytics
  • The organisation stops internal exfiltration before it happens
  • A leak from test or AI tooling exposes pseudonyms, not customers
  • Decryption keys are separated from data by design
🚀

Your teams get the data they were waiting for

Teams no longer ask "can we use this data?". The answer is built into the platform: one governed workflow instead of a new exception for every project.

  • Dev, test and UAT environments refreshed from production, with zero real identities
  • The same pseudonym across core banking, policy admin or patient systems: joins and test scenarios keep working
  • AI pilots, LLM projects, vendors and data scientists fed with realistic data in days, not months of approvals
  • One repeatable workflow instead of fragile masking scripts per project
13%
AI breaches
of organisations reported a breach of their AI models or applications.
97%
No AI access controls
of those breached organisations lacked proper AI access controls. Shadow AI was involved in one breach in five.
Sources: IBM, Cost of a Data Breach Report 2025
The workflow

From production to safe non-production.

One workflow, repeated at every refresh: connect production, pseudonymise once, deliver to every environment: test, analytics and AI.

// Without Pseudia
✗Production copied into UAT: real names, IBANs, policy numbers or patient IDs visible to 60 developers
✗Or test data so fake that bugs only show up in production
✗Weeks of DPO and security approvals before each extract or vendor access
✗One hand-written masking script per project, nobody can prove what it does
✗Customer data pasted into external AI tools, or AI projects blocked for months
↓
Pseudia
Pseudia
↓
// With Pseudia
✓Non-prod copies refreshed from production on demand: same structure, zero real identities
✓Consistent pseudonyms across systems: a customer stays the same customer in every table
✓Access granted on pseudonymised data: approvals once, not per request
✓One governed, audited policy reused by every team and every environment
✓Prompts and documents pseudonymised before they reach an external LLM: AI pilots start in days
Explore the platform →
Use Cases

Your sector,
your restricted data.

For banks & payment institutions

Test core banking changes on real-world data, without real customers

Core banking migrations, payment flows, AML and fraud models all need production-like data. Today, teams wait weeks for extracts or test on data so fake that bugs reach production.

Pseudia refreshes your dev, test and UAT environments from production: names, IBANs, account and card numbers are replaced by consistent pseudonyms, while balances, transactions and relations stay intact.

What changes

Production-like UAT · Consistent IBANs & customer IDs across systems · Vendors work without real customers · DORA-ready test data management

from pseudia.core.datasource import DataSource, SourceType
from pseudia.core.dataset import Dataset

# Define a remote S3 source
source = DataSource(
    name="S3_Production",
    source_type=SourceType.csv,
    connection_details=ConnectionDetails(
        service=ServiceType.swc_s3,
        endpoint_url="https://s3.cloud...",
        ... # Credentials
    )
)

dataset = Dataset(source)
# Pseudonymize and write back
pseudonymiser.pseudonymise(dataset)
✓ Schemas, transactions and relations preserved
📅 Book a 20-min banking demo →
Compliance & Regulations

Meet GDPR, AI Act, NIS 2 and DORA requirements.

Pseudonymization is explicitly recognized as a core security standard across European regulations. Pseudia automates its implementation, ensuring you stay ahead of compliance burdens.

🛡️

NIS 2 & DORA

Meet "state-of-the-art" security requirements. Pseudonymization reduces the impact of incidents and ensures business continuity by protecting data during processing.

NIS 2 · DORA
📜

Privacy by Design (Art. 25)

Processing activities are documented, archived, and configurable by purpose. Protection is built-in from day one.

GDPR · Art. 25
🤖

AI Act

The AI Act names pseudonymisation as a safeguard when high-risk AI systems process personal data, for example for bias detection.

AI Act · Art. 10(5)
📄

DPA available immediately (Art. 28)

Ready to sign. You remain the data controller. Our commitments are contractual and legally binding.

GDPR · Art. 28

What you can validate after deployment

For your next audit, board meeting, or regulatory review.

✓
Privacy by Design documented by processing activity
✓
NIS 2 / DORA "State of the art" measures
✓
Effective data minimisation
✓
EU-only hosting by default
✓
Signed Data Processing Agreement (GDPR art. 28)
✓
Automated audit logs for regulatory proof

Belgian company. No issues with the Cloud Act: 100% European infrastructure and no data transfers outside the EU.

Pricing

Simple pricing.
No surprises.

Start for free, upgrade when you need real pipelines, scale to Enterprise when volume and compliance demand it.

All prices exclude VAT.

Free
€0 forever
No credit card required

Test our pseudonymization engine directly in your browser.

  • Pseudonymization Playground only
  • No worker creation
  • No Workspace/Data Source management
  • Limited number of requests
  • No commitment
Try for free →
Most popular
Starter
€49 per user / month
Billed monthly
Total

Complete solution for data pipelines and workspaces.

  • CSV · JSON · Parquet support
  • Pseudia Worker (monthly hour pool)
  • Query pack (pay-as-you-go after)
  • Workspaces & Data Source management
  • Standard DPA included
  • Guided onboarding
Enterprise
Custom pricing
Tailored quote based on your volume, deployment and compliance needs

For organisations with infrastructure, compliance or volume constraints.

  • All Starter features
  • Hybrid & On-Premises deployment
  • Dedicated SLA + priority support
  • BYO pseudonymisation functions
  • Custom DPA + DPO support
  • Team training included
FAQ

The real questions
before deployment.

Our cloud or data platform can already mask data. Why Pseudia?+
Microsoft, AWS or your data platform give you masking features inside their own tools. Pseudia is the platform that sits across them: one governed policy, the same pseudonym for the same customer or patient in every system, controlled re-identification with a separate key, and audit logs your DPO can show. It turns restricted production data into data your teams are allowed to use, in every environment, not just one tool.
Can we use pseudonymised data with LLMs, RAG and AI agents?+
Yes, that is what the Pseudia AI gateway is for. Identifiers in prompts, documents and RAG sources are replaced by consistent pseudonyms before they leave your organisation, so external models never see real customers or patients. Two honest limits: detecting personal data in free text is probabilistic, so sensitive flows deserve a review step; and automatically restoring real names in free-form AI answers is not fully reliable, because models can rephrase pseudonyms. Pseudia keeps reversal as an explicit, logged operation.
Pseudonymisation vs anonymisation: what is the GDPR difference?+
Pseudonymisation (GDPR art. 4.5) replaces identifiers with reversible tokens via a separate key. The data technically remains "personal", but exposure is controlled. Anonymisation is irreversible and takes data outside GDPR scope, but also removes much of its analytical value. Pseudia implements pseudonymisation: you keep control, reversibility and the value of the data.
How does Pseudia concretely protect people?+
When data goes through Pseudia, a person is no longer exposed to uncontrolled usage: a vendor seeing real contact details, a developer testing with them, or an external LLM ingesting them. Identifiers are replaced by tokens before each circulation. Only a separate key can reveal the real identity, and that key is strictly controlled.
Concretely, how does Pseudia increase ROI?+
Teams no longer spend time negotiating data access, waiting for compliance approvals or bypassing restrictions with unrealistic dummy data. They get realistic data immediately. Fewer meetings, fewer tickets, more iterations. ROI comes from regained velocity, not from an abstract risk reduction.
Can we deploy on-premises in our infrastructure?+
Yes. On-premises or private cloud deployment is available for Enterprise customers. We also support non-EU clouds (AWS, Azure, GCP) on explicit request with adapted contractual documentation. PaaS remains the default option for a fast start.
Which formats and data sources do you support?+
CSV, JSON and Parquet by default. Native connectors for PostgreSQL, MySQL and S3-compatible object storage. Additional connectors are available for Enterprise projects. The REST API enables integration into any existing pipeline.
Can Pseudia sign a Data Processing Agreement?+
Yes, immediately. Pseudia is a processor under GDPR art. 28. You remain the controller. A standard Data Processing Agreement template is available from the first contact. For Enterprise customers, a custom agreement can be negotiated.
Protect citizens · not just checkboxes
Stop internal exfiltration · before it happens
Ship AI features faster · with real-world data quality
Kill the compliance backlog · build instead
Multiply ROI · less bureaucracy, more execution
Made in Europe · owned in Europe
Take action

The next leak will not wait
for your next committee.

20 minutes. Your use case. Not a generic pitch.

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