Visionstate's John Putter on Mopping Up the Facility Management Sector with AI

Visionstate Corp. (TSXV: VIS) is revolutionizing facility management through AI and IoT solutions to transform how businesses monitor and optimize their cleaning and maintenance practices. In an InvestorNews.com interview with host Tracy Hughes, CEO John Putters discussed the company's collaboration with the Alberta Machine Intelligence Institute (Amii) to develop an advanced AI model aimed at "disrupting facility management, particularly in scheduling and route optimization." Highlighting the complexity and labor intensity in the facility management sector, Putters emphasized that their AI solution integrates numerous data sets to efficiently compile, optimize, and deliver substantial returns on investment upon its anticipated release by the end of this year. Addressing market opportunities, Visionstate is strategically positioned to capitalize on new regulatory frameworks, notably Ontario's Bill 190, set to enforce rigorous cleaning verification standards effective January 1, 2026. Putters outlined how this legislative initiative, mandating digital retrieval and public accessibility of restroom cleaning records, aligns seamlessly with Visionstate's core product, WANDA. He highlighted that Visionstate aims to onboard thousands of affected businesses ahead of the compliance deadline. Putters also underscored Visionstate's immediate growth trajectory with the imminent launch of a standalone inspections and auditing application at the upcoming Bunzl Canada National Convention. Designed to digitalize and streamline facility auditing processes, this application addresses critical operational gaps by enhancing transparency and accountability in cleaning practices. Reinforcing Visionstate's ongoing innovation and technological leadership, Putters affirmed, "We actually do have a long pipeline of companies waiting specifically for that technology," emphasizing the robust market demand and company's preparedness to seize these opportunities promptly.