Redwood AI Announces Collaboration with Aidos Innovations, Aimed at Enhancing Public Safety Collaboration with B.C. Government, Canadian Federal and Local Law Enforcement Agencies to Tackle the Fentanyl Crisis in British Columbia

Track and Trace Initiative Aims to Combine AI-supported Detection, Attribution, and Decision-Support Tools to Strengthen Public Safety and Public Health Response

VANCOUVER, BC / ACCESS Newswire / April 17, 2026 / Redwood AI Corp.(CSE:AIRX)(OTCQB:RDWCF)(Frankfurt:Y0N)(WKN:A422EZ) ("Redwood" or the "Company") is pleased to announce that it has entered into a two-year collaboration agreement (the "Collaboration") with Aidos Innovations ("Aidos") in relation to ‘Track and Trace' pilot program, under which it will be working in collaboration with the Royal Canadian Mounted Police (RCMP), the Victoria Police Department (VICPD), and the Canada Border Services Agency (CBSA) to develop an AI-powered analytical platform for the detection and prediction of toxic opioids, including fentanyl, across Vancouver and Victoria with potential for broader application across Canada. The Collaboration is intended to strengthen the region's response to the fentanyl crisis by providing a more coordinated, data-driven view of opioid activity in these two major urban centres, while also supporting broader public safety, border security, and national-level threat awareness objectives through improved coordination, earlier awareness of changes in the illicit drug supply, and more timely responses to emerging threats.

Under the Collaboration, Redwood will work with Aidos to design, build, and deploy an analytical platform for the detection and prediction of opioids across Vancouver and Victoria. The two-year project will focus on building and deploying this system in both cities, with the goal of providing more timely and actionable information about opioid activity. The RCMP, VICPD, and CBSA will participate as key partners, helping to guide the development and use of the tool so that it supports front-line operational and intelligence needs in their jurisdictions. In addition to supporting law enforcement intelligence, the platform is intended to improve shared situational awareness among participating agencies and contribute to a more coordinated regional response to toxic drug activity. The Collaboration is expected to include the development of interactive dashboards, intelligence reports and other decision-support tools designed to help participating agencies interpret and act on emerging opioid activity more effectively. The project is intended to progress through staged implementation, beginning with prototype systems and representative data environments and advancing toward live-data integration as technical, governance and agency requirements are finalized. As development progresses, the platform architecture is designed to scale across additional jurisdictions and support adjacent public safety and security use cases.