Adam is the infrastructure layer that lets companies monetize and share high-value datasets with built-in anonymisation, compliance, and provenance tracking. Purpose-built for the AI era.
Enterprises generate massive datasets they never monetize. Too risky to share, too valuable to ignore. Billions in dormant value.
Every AI lab needs real-world, domain-specific data for training and evaluation. Synthetic data alone isn't enough. The supply gap is widening.
Data sharing fails because there's no way to guarantee privacy, track provenance, or prove compliance. The infrastructure doesn't exist. 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.
Every AI model is only as good as its training data. Every dataset is only as valuable as the trust behind it. Adam is where data becomes safe enough to share and valuable enough to build on.