Octave Reliance builds secure multi-tenant AI foundation on Amazon Bedrock

The pipeline embedded 2 billion documents – Word files, PDFs, scanned images and emails – at a rate of 28 million tokens per minute, achieving 1.4 million documents per tenant per 24 hours. Choosing a 512‑dimension embedding reduced storage by roughly 66 % versus the default 1,536 dimensions. The resulting Complaint Triage Assistant cuts investigation time to 4–6 hours and halved the deployment cycle for new AI features, letting Octave ship capabilities in weeks instead of months. The architecture also logs every model call and retrieval step for auditability, meeting strict regulatory compliance.

Octave plans to extend the same foundation to audit‑readiness monitoring, incident‑narrative generation and predictive quality‑risk scoring, showing that secure, multi‑tenant AI can be scaled across regulated industries.