Interface

Measurement. Inference. Evaluation.

Infrastructure for governed AI-derived inferences. Interface helps organisations generate, evaluate, validate and improve outputs from documents, conversations, frameworks and assessment data.

A platform for confidence.

AI makes generation abundant. Interface focuses on what comes next: provenance, evaluation, assurance, review and continuous improvement.

Generate

Create outputs from complex information

Summaries, classifications, generated items, framework mappings, recommendations and analytical artefacts.

Evaluate

Compare models, prompts and frameworks

Preserve enough context to understand how outputs were produced and whether they are fit for purpose.

Govern

Make inference processes auditable

Track model versions, prompt versions, framework versions, source artefacts and human review decisions.

Public principles. Private workspaces.

Interface publishes its principles, trust model and design philosophy. Product environments are authenticated and workspace-scoped — what you work on stays yours.

This site

Explains the platform, its products, trust model, design principles and use cases — everything a practitioner needs before starting.

Product apps

Captures, Library, Observatory and Platform each run as dedicated authenticated environments, scoped to your workspace and team.

Documentation

Schemas, API reference and implementation guides available to teams building on or integrating with Interface.