SYNAPSE-EU turns scarce, sensitive, siloed data into unlimited training-grade synthetic data — generated on-premise, anonymised by design, and certified for fidelity and privacy before a single sample leaves the vault.
A domain-agnostic generative core, delivered as separate, auditable modules.
From raw records to training-grade synthetic datasets at scale — hundreds of thousands to tens of millions of samples — for AI training and model evaluation.
De-identification built in — from medical image and record stripping to privacy-preserving transforms — so sensitive originals never have to travel or persist.
Full 3D medical volumes — CT and MRI — synthesised on-premise with matching annotations. Extensible beyond medicine.
Raw data enters; only certified synthetic data leaves — each step auditable.
Sensitive originals are stripped and validated on-premise before any modelling.
The generative core produces new samples that match the real distribution.
Utility, fidelity and privacy are measured. Fail the gate, and the batch is rejected.
Each release is sealed with a post-quantum digital signature, so its origin stays provable.
The same sovereign core, specialised per domain.
Every release is measured against four independent bars before it is trusted.
Models trained purely on synthetic data are tested against real data; we target near-parity with training on the originals.
Beyond looking right: distributions, correlations and structure are checked to match the source.
Rigorous privacy checks ensure synthetic samples never reproduce real individuals. Privacy is proven, not assumed.
A post-quantum signed Data Passport records how each dataset was made, so authenticity can be verified independently — by anyone, at any time.
SYNAPSE-EU runs fully on-premise — European infrastructure, no third-party clouds, no data egress. Built for regulated, high-stakes domains.
Pilots, partnerships, data collaboration, IPCEI-AI — technical questions welcome. We reply within 24 business hours.