Lab first
We only sell a capability after building and documenting it in-house.
NB-TECH SOLUTIONS Inc. is a Sorel-Tracy firm that designs, integrates and governs AI for Quebec organizations, keeping their data under their control.
One founder, a team of supervised AI agents, and one rule: every external action is approved by a human.
Wilfried Noubissi, AI integration architect, founded NB-TECH SOLUTIONS and leads it. He sets the direction, designs the architectures and approves everything that commits the company to a client. Around him, our team of twelve AI agents, each with a specific role, prepares the work: industry watch, writing, request follow-up, technical monitoring, compliance. These agents are orchestrated by NB-TECH OS, our internal control centre: anything that leaves the company first goes through its approval queue, and every action is recorded in a log.
In this way, we apply to ourselves what we recommend to our clients: AI prepares, a person decides.
Wilfried Noubissi's background is in DevOps and agile. As a DevOps practitioner, he automated deployments, managed infrastructure and ran systems in production. As a Scrum Master, he supported teams delivering in short iterations. He also completed a certificate in cybersecurity from Polytechnique Montréal, which today allows us to advise organizations on the security of their systems, including their AI systems.
That rigour has become how we work: an AI solution is a production system, with its versions, tests, monitoring and owners. That is why every NB-TECH service is first built and documented in a lab.
We support organizations on three interlocking fronts: AI architecture and integration into their systems, sovereign AI hosted in their own environment, and the governance that Law 25 requires. Cybersecurity runs through all three: access control, testing AI applications against known attacks, and a register of confidentiality incidents. It is also the foundation of NB-TECH SHIELD, our security framework, applied to our own systems first.
We only sell a capability after building and documenting it in-house.
By default, anything sensitive stays in your environment. Any exception is a written decision.
Architecture, decisions, procedures: you keep a record of everything that was done and why.
AI does not do everything for you. We tell you what it can do in your context, and what it cannot.
Every organization has its own systems, data and constraints. We always start by understanding your situation. Scope and investment are then proposed in writing.