The data you need without the data you should not have.

01. Data Enrichment

Add 16,000+ interest categories to existing customer profiles. Pre-computed behavioural features ready for ML model ingestion. Proven to improve model performance by 3.5% to 65% across churn, propensity, and recommendation models. No feature engineering required.

02. Privacy Twins

Work with safe behavioural representations, not raw personal data. Privacy Twins are synthetic profiles that preserve statistical properties while eliminating re-identification risk. Build and test models on realistic data without ever touching personal information.

03. On-Device Models

Deploy inference models at the edge. Sub-second behavioural feature computation on-device. No round-trip to the cloud. No data in transit. Models run where the behaviour happens, with results aggregated in privacy-safe form.

04. Privacy-Safe Pipelines

IntentOne integrates with Databricks, Snowflake, and BigQuery through the SafeSignal Engine. Structural privacy from ingestion to output. Not privacy by policy. Privacy by architecture. Auditable, provable, and regulation-proof.