MākuSafe Reaffirms Commitment to Wearable Safety Technology, Expanding AI, Connectivity, and Real-World Risk Intelligence

MākuSafe Reaffirms Commitment to Wearable Safety Technology, Expanding AI, Connectivity, and Real-World Risk Intelligence

November 11, 2026

Proven prevention. Measurable productivity. Significant first-year ROI.

WEST DES MOINES, Iowa, November 11, 2026 - As companies in the wearable safety technology industry shift away from hardware to focus on software and artificial intelligence, MākuSafe is reaffirming its commitment to wearable innovation, expanding its capabilities in real-time risk monitoring, connectivity, frontline engagement, and AI-powered safety and operational intelligence.

While some providers have discontinued their wearable offerings, MākuSafe continues to invest in its Ally wearable technology and MākuSmart AI platform, providing organizations with a broad, continuous stream of real-world leading indicators to improve workplace safety and operational performance.

"There's tremendous excitement about AI in workplace safety, yet AI is only as valuable as the data behind it," said Gabriel Glynn, CEO and Co-Founder of MākuSafe. "While others are moving away from wearable hardware, we're continuing to invest in it. Understanding what workers actually experience, from physical demands and environmental exposures to equipment interactions, is essential to preventing injuries and improving operations. Our clients are demonstrating that combining real-world data with practical AI produces extraordinary results."

Expanding Innovation Across the Connected Workforce

MākuSafe's latest developments extend its capabilities beyond traditional workplace monitoring, helping organizations capture meaningful leading indicators across a wider variety of work environments and operational activities.

• Remote Worker FIELD KIT: Brings real-time environmental and ergonomic risk intelligence to distributed workers, including route personnel, field service teams, and others working beyond traditional facilities. Cellular connectivity and offline data storage make it possible to extend monitoring to employees who don't work in a fixed industrial location.
• MākuSmart AI: Allows safety and operations professionals to have a conversation with their own leading indicator data, uncovering trends, prioritizing risks, and identifying opportunities for improvement. Rather than requiring specialized data analytics expertise, users can ask practical questions about workplace conditions, physical demands, exposures, and operational patterns to guide decisions and preventive action.
• SiteLink Mesh Networking: Enables wearable-to-wearable communication, simplifying deployment and reducing dependence on facility Wi-Fi infrastructure. This evolution of MākuSafe's connectivity technology supports flexible implementation across complex industrial environments.
• Operational Intelligence: Expands applications beyond injury prevention to workflow optimization, productivity, and operational efficiency. By identifying patterns in physical demands, environmental conditions, worker activity, and operational processes, organizations can uncover opportunities to improve work design, reduce inefficiencies, and enhance performance.
• Mobile Equipment Intelligence: MākuSafe's Scout technology provides forklift-pedestrian interaction intelligence, helping organizations recognize patterns of elevated interaction risk by location, time, and activity. Emerging customer-driven applications are also exploring data collection associated with autonomous guided vehicles (AGVs) and other mobile industrial equipment.
• Frontline Worker Voice: MyVoice enables push-to-talk reporting of concerns, observations, and near misses, including multilingual processing to support employees communicating in their native languages. This brings frontline knowledge and experience into the same intelligence platform as sensor-generated data, helping organizations better understand work as performed.

Together, these capabilities support a more comprehensive approach to connected worker intelligence, combining environmental sensing, motion analysis, spatial awareness, worker participation, and AI-powered insights in a single technology ecosystem.

Understanding Work Without Monitoring Workers

Unlike wearable approaches centered on biometric monitoring, continuous employee tracking, or repeated haptic alerts, MākuSafe focuses on unobtrusive sensing and actionable intelligence.

The technology does not collect biometrics or continuously track employees. Instead, it provides safety and operational leaders with visibility, analytics, and notifications that help identify patterns and address risks at their source without repeatedly interrupting workers.

This distinction is important. Rather than placing responsibility on individual employees to respond to constant warnings, MākuSafe helps organizations identify opportunities to improve the conditions, equipment, processes, and environments in which work takes place.

The result is a practical approach to understanding work as performed, supporting both proactive risk reduction and continuous operational improvement.

Strong AI Requires Strong Real-World Data

Recent research from the American Society of Safety Professionals (ASSP) found that data quality remains a barrier for 62% of organizations at every stage of AI adoption.

That finding reinforces an important challenge for EHS professionals. While artificial intelligence can make it easier to analyze information and identify trends, its value depends on the quality, relevance, and completeness of the underlying data.

Traditional safety management systems provide valuable information about incidents, inspections, audits, and corrective actions. However, they often lack continuous visibility into the environmental conditions, physical demands, equipment interactions, and other leading indicators workers experience throughout the workday.

MākuSafe addresses this challenge by continuously gathering a broad range of environmental, ergonomic, motion, spatial, and worker-reported leading indicators.

These include temperature, humidity, heat exposure, noise, air quality, repetitive and forceful movements, slips and trips, forklift-pedestrian interactions, and frontline observations.

Combined with MākuSmart AI, this information helps organizations move beyond simply reviewing what has already happened toward identifying where risks may be developing and where improvements can have the greatest impact.

The objective isn't simply to collect more data. It's to collect better information about work as it actually happens and make that information useful.

Expanding Partnerships Across the Safety Technology Ecosystem

As other technology providers shift toward software and AI, MākuSafe is also expanding partnerships with companies that have moved away from proprietary wearable hardware, as well as established EHS management software providers seeking to integrate richer leading indicator data into their platforms.

These relationships reflect an important evolution in the industry. Software and AI providers can benefit from continuous, real-world information without having to develop, manufacture, deploy, and support their own wearable hardware.

Through APIs, webhooks, and technology integrations, MākuSafe can complement existing EHS management systems, ergonomics platforms, and risk intelligence applications with leading indicators collected directly from workplace activities and conditions.

This collaborative approach allows organizations to leverage their existing software investments while gaining access to information that may otherwise be unavailable.

For MākuSafe, these partnerships also represent an opportunity to extend the value of wearable-generated intelligence across a broader range of applications, customers, and technology platforms.

Proven Results and Measurable ROI

MākuSafe customer deployments have demonstrated reductions of approximately 50% in workers' compensation claim frequency, claims severity reductions reaching 90%, and forklift-pedestrian interaction reductions exceeding 80%.

Documented applications have also delivered productivity improvements averaging approximately 6%, with significant first-year returns on investment.

Other reported outcomes include extended periods without strain and exertion injuries, substantial increases in frontline reporting and engagement, and operational improvements producing hundreds of thousands of dollars in annual labor savings.

These results demonstrate that the value of wearable technology extends well beyond the collection of safety data.

By identifying where risks and inefficiencies occur, organizations can make informed changes to workplace conditions, processes, and work design. Those improvements can contribute to fewer injuries, lower claims costs, greater employee engagement, and more efficient operations.

Importantly, the same leading indicators that help identify opportunities to prevent injuries can also reveal operational challenges affecting productivity and performance.

"Better data leads to better decisions, fewer injuries, and more productive operations," Glynn added. "We're committed to making that intelligence practical, accessible, and economical for organizations of all sizes."

Continuing to Invest in the Future of Wearable Intelligence

As the safety technology market continues to evolve, MākuSafe remains committed to advancing both the technology that captures real-world information and the intelligence that makes it actionable.

With billions of data points collected across millions of monitored work hours, the company continues to expand the ways organizations can understand workplace risks, engage frontline employees, and improve operations.

While AI and software will continue to transform workplace safety, their effectiveness depends on having meaningful information to analyze.

MākuSafe's continued investment in wearable technology, flexible connectivity, worker voice, and conversational AI reflects a straightforward belief: the future of workplace safety and operational intelligence requires both better data and better ways to put that data to work.

About MākuSafe

MākuSafe provides wearable technology and AI-powered intelligence that helps organizations understand work as performed, reduce workplace risks, and improve operational performance. Its Ally wearable and MākuSmart platform transform real-world environmental, motion, and worker-reported information into actionable leading indicators, without collecting biometrics or continuously tracking employees.

Learn more at https://makusafe.com.

Contact:
Tom West, VP, MākuSafe
[email protected] | 515-490-6202