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Engineering·· 11 min read

Engineering the trust layer: a year in review

What we shipped, what we removed, and what we learned operating in regulated industries through 2025.

By Mira Hartley

Engineering the trust layer

In 2025 we shipped 47 model updates, deprecated three first-generation classifiers, and rewrote our chain-of-custody service from scratch. This is the public version of our year-end engineering retro.

What we shipped

  • A unified ingestion pipeline that handles arbitrary EXIF metadata without dropping signatures
  • Hardware-attested capture for compatible mobile devices (iOS 17+ and Android 14+)
  • A two-stage classifier that separates generative-model artefacts from compression artefacts

What we removed

Our original GAN-only detector. It was 94% accurate against StyleGAN3 but degraded sharply against Stable Diffusion 3 and Flux. Rather than patch it, we replaced the whole pipeline with a contrastive embedding model. The migration took four months — we ran both classifiers in shadow mode the entire time.

Operating in regulated industries

The single hardest lesson: audit trails are a product surface, not a compliance afterthought. Customers in banking and government need to demonstrate what happened, not just have it recorded. We rebuilt the AuditLog API around exportable, signed, timestamped chains — and it became one of our top three reasons-to-buy.

#pipeline#audit#chain-of-custody