New Risk • Jun 24
New major risk - Market cap size The company's market capitalization is less than US$10m. Market cap: CA$14.2m (US$10.00m) This is considered a major risk. Companies with a small market capitalization are most likely businesses that have not yet released a product to market or are simply a very small company without a wide reach. Either way, risk is elevated with these companies because there is a chance the product may not come to fruition or the company's addressable market or demand may not be as large as expected. In addition, if the company's size is the main factor, it is less likely to have many investors and analysts following it and scrutinizing its performance and outlook. Currently, the following risks have been identified for the company: Major Risks Less than 1 year of cash runway based on free cash flow trend (-CA$1.7m free cash flow). Revenue is less than US$1m (CA$217k revenue, or US$152k). Market cap is less than US$10m (CA$14.2m market cap, or US$10.00m). Announcement • Jun 23
Predictiv AI Inc., Annual General Meeting, Aug 18, 2026 Predictiv AI Inc., Annual General Meeting, Aug 18, 2026. Location: ontario, toronto Canada Announcement • Apr 17
Predictiv AI Inc Announces Completion of Phase 1 of Shiftmatics Hardware Platform Predictiv AI Inc. announced the completion of Phase 1 of its Shiftmatics hardware platform and the receipt of its first client order. Shiftmatics establishes a device-level foundation for continuous data capture, connectivity, and operational visibility. The platform captures high-frequency vehicle and environmental data—beyond traditional GPS tracking—and is supported by onboard storage and backup systems for reliability in real-world environments. Shiftmatics is being developed in stages to transition fleets from tracking to real-time intelligence and edge AI. Stages 1 & 2 (Completed): Core Data & Connectivity. Production-ready hardware platform. High-frequency location, vehicle performance, and environmental data. Telemetry including speed, fuel usage and driving behavior. Environmental sensing (temperature, pressure, humidity). On-device memory and backup power. Stage 3 (In Development): Vision-Enabled Intelligence. Integration of onboard camera systems for operational visibility. Local video storage with optimized data retrieval. Foundation for visual analytics and safety insights. Stage 4 (Future): Edge AI Infrastructure. On-device processing and real-time analysis. Transformation into intelligent edge decision nodes. Support for event detection, predictive insights, and automated responses. Reduced reliance on centralized cloud infrastructure. Evolution from tracking ? intelligence ? execution. Scalable hardware footprint for AI deployment. Foundation for automation, autonomy, and robotics-driven systems. Predictiv AI noted a broader industry shift from passive tracking toward real-time, data-driven operations. While traditional systems focus on location visibility and historical reporting, fleet operators are increasingly seeking real-time insights to improve efficiency, reduce costs, and accelerate decision-making. This shift is driving demand for platforms that not only capture data but also process and act on it in real time—enabling more responsive, intelligent, and automated workflows across fleet operations. Shiftmatics is designed to support this transition, moving from basic visibility toward integrated intelligence where data can be captured, interpreted, and used to inform operational decisions directly within fleet environments. The data generated by the Shiftmatics platform is expected to enable advanced AI-driven applications across Predictiv AI’s ecosystem. Continuous streams of operational and contextual data provide the foundation for domain-specific AI systems that support business workflows, decision-making, and automation. The Company confirmed it has received a request from an initial client to deploy its first set of Shiftmatics devices, with installation expected to begin shortly. This represents the first commercial use of the platform in a live operating environment and a key step toward broader rollout and scaling. Looking ahead, Predictiv AI is developing Shiftmatics as a foundational layer for a broader class of intelligent systems extending beyond traditional fleet management. With the introduction of onboard vision systems and edge-based processing, the platform is expected to enable real-time analysis and decision-making directly at the device level. This localized intelligence will support faster response times, reduced data transmission, and more adaptive operational systems. Over time, these capabilities are expected to enable: Event detection and real-time alerts. Driver behavior analysis. Predictive maintenance. Semi-autonomous operational workflows. Intelligent fleet coordination. The underlying architecture may also extend into adjacent applications where sensing, intelligence, and automation converge, including robotics and real-time physical systems. Shiftmatics operates as part of Predictiv AI’s broader ecosystem, alongside ShiftFleet.ai and CloudRep.ai, creating an integrated stack that connects physical operations with AI-driven insights and workflow automation. 
