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

AI summary

An AWS Machine Learning Blog post describes how Octave (formerly Hexagon SIG) built a secure multi-tenant AI foundation for its Reliance quality management platform on Amazon Bedrock, using Cohere Embed v4 for multilingual and multimodal search and Amazon Bedrock AgentCore to run each user session in a dedicated, sanitized microVM. Octave says the foundation embedded 2 billion documents and that its first feature, a Complaint Triage Assistant, has run in production for three months. By Octave's own accounting, the shared layers cut deployment time per use case by 50 percent, while a Cohere social post repeats claims of premium accuracy and lower vector storage costs without independent measurement.

In-depth insight

The post is a detailed enterprise architecture case study of how tenant isolation, identity propagation and guardrails were designed before AI features shipped on regulated data, though its performance and customer figures come from Octave itself and are not independently verified.

In quality management for regulated industries, the institutional memory that resolves a problem is almost always buried somewhere in a customer’s history. A similar defect investigated last year, a Corrective and Preventive Action (CAPA) that fixed the root cause, an audit finding that flagged the same gap. That knowledge sits in billions of documents no human can search by semantic similarity across languages and formats, so every investigation starts from scratch. Octave Reliance has helped each organization collect documents across multiple systems to help them search more easily and keep track of everything they have. The Octave Reliance team saw unlocking this history as its single largest opportunity to help customers work faster and stay compliant. The obstacle was equally clear: complaint records, audit findings, and corrective actions carry the platform’s strictest isolation requirements, and those were exactly the records the AI would need to read. In a platform serving over 14,000 customers across medical devices, pharmaceuticals, and food manufacturing, a single inadvertent disclosure from one customer to another would carry regulatory consequences far outweighing any AI benefit.

#Octave#Reliance#Amazon Bedrock#Amazon Bedrock AgentCore#Cohere Embed v4#AWS#Cohere

Original · 13 min readRead the original
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