Predictiv AI Expands Into Hardware With Shiftmatics Platform And Secures Initial Client Order

Key Highlights

• Completion of Phase 1 of Shiftmatics
• Expansion into hardware-driven AI infrastructure
• First client secured, initial device order received and in progress
• Foundation for edge AI, real-time intelligence, and automation
• Clear pathway toward autonomous fleet systems

Predictiv AI Inc. (the “Company” or “Predictiv AI”) announces the completion of Phase 1 of its Shiftmatics hardware platform and the receipt of its first client order. This milestone marks the Company’s expansion into hardware-enabled AI infrastructure, supporting real-time intelligence and future autonomous fleet operations.

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.

A Smarter Hardware Layer for Fleet Management
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

Strategic Outcome:

• Evolution from tracking – intelligence – execution
• Scalable hardware footprint for AI deployment
• Foundation for automation, autonomy, and robotics-driven systems

“Shiftmatics was designed from the outset as more than a tracking device,” said B.H. Sudantha, Head of Hardware and Engineering at Predictiv AI. “Each phase brings computation closer to the source, enabling systems to analyze, respond, and evolve directly on-device, creating a strong foundation for real-time analytics, automation, and future autonomous systems.”

Market Shift: From Tracking to Data-Driven Operations
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.

Data-Driven AI Systems and Operational Automation
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. These systems move beyond static reporting toward dynamic models capable of interpreting data, generating recommendations, and assisting in execution.

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.

Future Direction: Edge AI, Autonomy, and Intelligent Systems
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.

“This milestone marks our expansion beyond software into integrated hardware capabilities, establishing the foundation for how we intend to bring intelligence, automation, and eventually autonomy into real-world systems,” said Suman Pushparajah, Chief Executive Officer of Predictiv AI Inc. “Our approach is to embed intelligence directly into physical systems, starting with fleets and evolving toward real-time, edge-based decision-making where data can be interpreted and acted upon instantly.”

About Predictiv AI Inc.
Predictiv AI Inc. is a Canadian artificial intelligence company focused on developing vertical AI applications for defined industries. The Company’s products address fleet operations and communications, including fleet management software, AI-based agents for voice, chat, and SMS, and tools designed to support structured operational workflows. For more information, visit www.predictiv.ai.