Zackat Labs Launches Connected Safety Platform with AT&T and RCW Energy Services
Zackat Labs has introduced a connected safety platform that combines wearable heat stress monitoring and gas detection, announced in a press release. The system includes the W3 wearable device and an integrated gas monitor designed for continuous physiological and environmental tracking in industrial settings.
The W3 wearable measures core body temperature, heart rate variability, and other indicators of fatigue and dehydration. It provides early warnings of potential health risks by sending alerts to supervisors' mobile devices and the W3 dashboard. The gas monitor connects via Bluetooth to the same platform, allowing gas exposure alerts to be managed through a unified application.
RCW Energy Services serves as a distributor of the W3 solutions, deploying the technology to improve heat stress awareness and safety across its operations. The company encourages other service providers to adopt the system for workforce protection.
AT&T supports the platform by supplying cellular IoT connectivity for near real time data transmission between field devices and supervisors. Zackat Labs also uses the AT&T Control Center to manage device connectivity, provisioning, and monitoring through a centralized portal.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Industrial AI Weekly or Daily AI Brief.
Also, consider following us on social media:
Industrial AI Weekly
The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Cyware and WaterISAC Partner on Threat Intelligence for Water Utilities
Zip Security Joins CrowdStrike Coalition to Protect Small Businesses
Circadian Risk and RAD Introduce SARA Assess for Physical Security
ZaiNar Joins Arm Physical AI Program as Location Partner
RMX Industries Tests QuantrusX at Texas Field Session
Daily AI Brief: the AI news that matters, in your inbox.