Before we offer a service, we build it in-house, on our own systems, and document what works and what does not. These eight labs are the basis of our recommendations.
Publication in progress. Detailed write-ups (architecture, method, results) are published as they are ready. We only publish a result once the measurement method has been described. Until then, we can walk you through the status of a lab in a conversation.
An assistant that answers from internal documents, running entirely on controlled infrastructure.
A single entry point between staff and AI models: authentication, permissions, routing based on data sensitivity, audit log.
An agent that acts in office tools (email, calendar, documents) through the Model Context Protocol, with limited permissions.
The L1 solution rebuilt with Azure cloud services.
Deployment, automated evaluation and monitoring of an AI application.
Our own AI applications put through the attack categories of the OWASP Top 10 for LLM Applications.
The AI systems register and privacy impact assessments (PIAs) under Quebec's Law 25, written for NB-TECH's own systems.
A gateway between industrial equipment and logic that curtails power consumption during peak periods.
Every organization has its own systems, data and constraints. We always start by understanding your situation. Scope and investment are proposed afterwards, in writing.