As artificial intelligence adoption accelerates, organizations operating critical systems face a familiar problem: fragmented data, rigid workflows, and high accountability requirements that make experimentation risky.
Vancouver-based startup Industrio believes it has built a solution for that reality.
Founded in 2023 by former Microsoft leaders Edoardo De Martin and Trevor Clark, alongside longtime Mercedes-Benz data science executive Arash Ashtiani, Industrio develops operational intelligence systems designed for environments where reliability, governance, and security are non-negotiable.
This week the company officially launched Signal, a platform that consolidates distributed data, workflows, and human decision-making into a unified operational view. Rather than positioning itself as a standalone AI tool, Industrio describes Signal as infrastructure for complex organizations that need explainable, accountable intelligence layered onto existing systems.
The platform has already been deployed across healthcare, municipal operations, and industrial environments.
At Pacific Blue Cross, Industrio built a digital twin system that processes roughly 150,000 healthcare applications annually, modelling the enrollment ecosystem while integrating previously siloed data sources.
With the City of Vancouver, the company is developing a Common Operating Platform with digital twin and AI capabilities to support major event operations.
And at fuel cell manufacturer Unilia, Industrio has automated data ingestion from testing stations to create scalable DataOps architecture and custom reporting systems.
Signal is designed for environments where data spans multiple systems, decisions must remain traceable, and human oversight remains essential. The platform supports automated data ingestion, event-driven workflows, and domain-specific AI agents that synthesize information rather than simply retrieve it. Its model-agnostic architecture allows organizations to integrate different AI models without redesigning underlying systems.
Industrio is also positioning the platform as a Canadian-built alternative for critical infrastructure and potential dual-use applications, at a time when governments and enterprises are increasingly focused on domestic AI capabilities and data sovereignty.
“We’ve been working alongside customers in systems where failure carries real-world consequences,” said De Martin. “Our focus has been on building operational intelligence that teams can trust.”
As Canadian institutions grapple with how to modernize legacy infrastructure without compromising governance, Industrio is betting that AI adoption in critical environments will depend less on experimentation — and more on operational discipline.
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