★ EU Made & Owned in Europe · Belgium

Your data moves. Your risks don't. Stop the leak. Start the speed.

Pseudia replaces real identifiers with realistic pseudonyms — so your teams ship faster, test with real-world data, and feed AI safely. No more compliance bottlenecks. Just ROI.

See a 20 min demo → How it works
<1d
API integration in your stack
0
Real data outside your perimeter
100%
EU · guaranteed sovereignty
D+0
Data processing agreement available
Pseudia — the key to secure data
✓ Reversible · Secure
Technical Measures · Security
API · PaaS · On-prem
★ EU Sovereign · Belgium
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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
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
🔐 Sensitive data protected at source
·
🚀 AI and data teams unblocked immediately
·
⚖️ GDPR compliance documented, not declared
·
🇪🇺 100% EU no data outside scope
The promise

Security. Velocity.
One platform.

Pseudonymisation is not only a legal requirement — it is the lever that unlocks your teams while protecting your users. Both at once.

🛡️

Protect for real — not just tick a box

An NDA does not prevent a leak — it only gives you a lawyer afterwards. Pseudia protects at the source, before damage is done.

  • People are better protected: their real data never circulates freely
  • The organisation stops internal exfiltration before it happens
  • If a breach occurs, attackers get pseudonyms — useless on their own
  • Decryption keys are separated from data by design
🚀

Innovate fast without the compliance bottleneck

Your teams no longer need to ask "can we use this data?". With Pseudia, protection is secure by design. Less bureaucracy, more execution.

  • Realistic test environments in minutes — consistent distribution, zero risk
  • Test new LLMs, algorithms, or integrations without the three-week approval process
  • Onboard external providers in hours, not months
  • Immediate ROI: less paperwork, more value creation
86%
Security & Data Challenges
Organizations confronting security and data challenges in AI deployments.
62%
Scaling AI Solutions
Challenges companies encounter when scaling AI solutions across the enterprise.
Sources: Gartner 2025 · Stanford HAI AI Index 2026
How it works

Before. Pseudia. After.

Same workflow. Same tools. Zero real data exposed.

// Without Pseudia
✗Production data copied into test — real names, IBANs and emails accessible to 60 developers
✗A teammate pastes a customer extract into ChatGPT to debug — the leak has already happened
✗Three weeks of compliance back-and-forth to test a new AI model
✗A vendor accesses 60,000 real customer records for a two-day integration
↓
Pseudia
Pseudia
↓
// With Pseudia
✓Test environments with realistic data generated on demand — same structure, zero real identities
✓Prompts are intercepted and pseudonymised before sending — AI stays useful, data stays yours
✓New AI tool deployed in hours — compliance embedded, teams unblocked immediately
✓Vendors work on consistent pseudonyms — fast integration, minimal risk
Architecture

How Pseudia processes your data

Three steps. Secure. Sovereign. Reversible.

① Source
Sensitive Data
Your production databases, APIs, customer files, or logs containing PII (Personally Identifiable Information).
PostgreSQL MySQL CSV / JSON Parquet S3
ingest
② Pseudia Engine
Automated Pseudonymization
Identifiers are replaced by consistent, realistic tokens. Statistical distribution is preserved, and re-identification is only possible via a separate key.
TokenizationMaskingBYO functionsPolicy-driven
output
③ Target
Secured Data
Pseudonymized data is delivered to your destination: test environments, AI pipelines, partners, or analytics.
Test envLLM pipelinesAnalyticsPartners
🔑
Sovereign Decryption Key
Stored separately from pseudonymized data. Only authorized users can reverse the process. If a data breach occurs, captured pseudonyms remain useless without the key.
Understand

Not all approaches
are equal.

Before choosing, you need to know what is really being compared.

Common practice

Naïve name removal

Only the name is stripped. Everything else — IBAN, age, postal code — still circulates freely. By cross-referencing just a few fields, 87 % of individuals can be re-identified. (MIT, Sweeney)

⚠ Not true anonymisation. GDPR obligations remain in full.
Original data
Name Marie Dupont
IBAN BE68 5390 0754 7034
Age 34
Postal code 4000
→
Result
Name ████████ deleted
IBAN BE68 5390 0754 7034 exposed
Age 34 exposed
Postal code 4000 exposed
Rigorous anonymisation

k-anonymity · differential privacy

Mathematically sound. Each individual becomes indistinguishable from k others — re-identification is impossible, even by cross-referencing every available source.

ℹ Exits GDPR scope entirely. However, it degrades data precision — ranges, regions — and demands significant implementation effort.
Original data
Name Marie Dupont
IBAN BE68 5390 0754 7034
Age 34
Postal code 4000
→
Result
Name ████████ redacted
IBAN ████████ redacted
Age [30–35] generalised
Postal code 4*** generalised
The AI-generated path

Synthetic data

A model generates a fictional dataset statistically close to reality. No real individual appears in the output.

⚠ The model has ingested your real data. Rare profiles can leak (membership inference). Cross-table consistency is often incomplete.
Original data
Name Marie Dupont
IBAN BE68 5390 0754 7034
Age 34
Postal code 4000
→
Result
Name Laura Bernard fictional
IBAN BE12 3456 7890 0000 fictional
Age 33 approx.
Postal code 4020 approx.
The Pseudia approach

Pseudonymisation

Real identifiers are replaced by consistent tokens. Marie Dupont → psd_k8x2m. Structure, distribution and relationships remain intact. A separate key allows controlled reversal — logged and audited.

✓ Reversible, realistic, controlled. Compliant with GDPR art. 4.5 · 25 · 32. Data stays usable with drastically reduced exposure risk.
Original data
Name Marie Dupont
IBAN BE68 5390 0754 7034
Age 34
Postal code 4000
→
Result
Name psd_k8x2m token
IBAN MASKED_7034 masked
Age 34 intact
Postal code 4000 intact
Name removal
True anonymisation
Synthetic
Pseudonymisation
Real person protected
✗ No
✓ Yes
~ Partial
~ Yes — residual risk¹
Personal data (GDPR)
✓ Yes
✗ No
✗ No
✓ Still yes¹
Precise & usable data
~ Degraded
~ Degraded
~ Approx.
✓ Intact
Cross-table consistency
~ Partial
~ Partial
~ Partial
✓ Complete
Reversible with authorisation
✗ No
✗ No
✗ No
✓ Yes — separate key
Implementation effort
✓ Minimal
✗ High
~ Medium
✓ Low with Pseudia
Dynamic data support
✓ Yes
✗ Poor
✗ Batch only
✓ Excellent
Recommended scope
~ Limited
~ Targeted outputs
~ Dev / sharing
✓ Everything, continuously

¹ Pseudonymised data technically remains personal data as long as the re-identification key exists. GDPR applies. Pseudia drastically reduces real exposure risk — but does not replace the associated legal obligations.

Use Cases

Your role,
your challenge.

For Data Engineers & Managers

Stop the production data bottleneck

Waiting weeks for anonymized extracts kills your sprint velocity. Pseudia delivers high-fidelity datasets in self-service, preserving relational integrity and statistical distribution.

Develop and test on "mirror" data without ever touching PII. Embed pseudonymization directly into your CI/CD pipelines for ultra-fast, frictionless QA cycles.

Boosted productivity

On-demand test data · Secure CI/CD pipelines · 100% relational integrity · No more fragile anonymization scripts

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)
✓ Your schemas and relations are preserved natively
📅 Book a 20-min Technical demo →
Features

Concrete, not promises.

01

Keys separated from data

An architecture where keys never co-reside with pseudonyms. A data breach means zero value for attackers.

CISO
02

Test environments in minutes

Generate realistic datasets on demand while preserving structure, distribution, and relational consistency.

Innovation
03

AI pipeline filtering

Intercept and pseudonymize data before it reaches external LLMs. Your teams keep their preferred tools.

Innovation
04

Policy-based exportable audits

Configure, trace, and export. Every processing activity is documented and auditable. Prove compliance, don’t just claim it.

DPO
05

Custom BYO functions

Plug in your own algorithms via API when our native functions don’t cover your specific sectoral needs.

Flexibility
06

100% European & Sovereign

Designed and hosted in Europe. Zero data transfers outside the EU by default. On-premises deployment available.

EU Sovereign
Compliance & Regulations

Meet GDPR, 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
📄

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.

Deployment

Deploy at your own pace.

Starter
On request

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
Most requested
Enterprise
Custom

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
Playground
Free

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
About

A Belgian team.
A real problem solved.

A Belgian company. A clear mission: make pseudonymisation as simple as it is powerful.

Loïc Lejoly
Loïc Lejoly
FOUNDER

Data & AI expert — European institutions, insurance, energy and gaming. Data Scientist, BI Expert, MLOps, GenAI Tech Lead. He identified the critical gap: organisations struggle to use data without exposing people. Pseudia is his answer.

↗ LinkedIn
Sébastien Paquay
Sébastien Paquay
CO-FOUNDER

Full-stack developer, founder of Omnipro Agenda. React, Next.js, Node.js. He builds applications that combine performance and usability. He brings to Pseudia the technical execution and product obsession required to create software users actually want to use.

↗ LinkedIn
Backed by

They support our mission

Pseudia is backed by leading organisations that share our vision of practical, sovereign data privacy.

Start it @KBC
Startup accelerator · Belgium
FAQ

The real questions
before deployment.

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.
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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