Don’t be data poor — Anuj Iravane, Anterior
Aug 19, 2026 · 16:46
Anuj Iravane, who leads AI at Anterior, explains why the company builds synthetic medical data by reversing its inference workflow: the real faxed records it needs most are protected patient data its contracts forbid keeping. With about 70% of medical communication still moving by fax, Anterior starts from a label, samples a reasoning trace from policies modeled explicitly as decision trees, then builds a coarse-to-fine patient journey and documents, making labels correct by construction. Clinicians own the pipeline as interchangeable skills, and roughly 90% of datasets are now synthetic; in a blind review they separated synthetic from real only about 60% of the time. The payoff is creating edge cases on demand and testing workflows before deployment instead of waiting on customer data.
