It's locked inside companies. Adam is the infrastructure layer that unlocks it — cross-source synthesis from proprietary data, anonymised so it can never be traced back.
Enterprises generate massive datasets they never monetise. Too risky to share, too valuable to ignore. Billions in dormant value sitting idle.
The next wave of LLM training won't run on public data. It will run on real-world signals that were previously impossible to access.
It's trust and infrastructure. Data sharing fails because there's no way to guarantee privacy, track provenance, or prove compliance. Until now.
Connect your data sources. Adam understands your schema, detects sensitive fields, and maps your data for processing.
Automated PII detection and anonymisation using differential privacy, k-anonymity, and synthetic substitution. GDPR and EU AI Act compliant by default.
Every transformation is recorded. Full lineage metadata: where the data came from, how it was processed, what consent covers it. Auditable end-to-end.
Publish compliance-ready data products to your ecosystem. Set licensing terms, access controls, and pricing. You control who sees what.
GDPR, EU AI Act, and CCPA compliance built into every pipeline. Not bolted on. Automated DPIA generation and consent tracking.
Immutable lineage records for every data product. Know exactly where data came from, how it was transformed, and who accessed it.
Differential privacy, k-anonymity, and synthetic data augmentation. Your data stays useful while personal information stays protected.
Data products formatted for model training, fine-tuning, and evaluation. Metadata-rich, schema-documented, and ready to plug into ML pipelines.
The private data economy needs infrastructure. Adam is building it — delivering real-world signals that were previously impossible to access, with the trust and provenance guarantees frontier AI demands.
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