This article showcases our top picks for the best Missouri based Big Data companies. These startups and companies are taking a variety of approaches to innovating the Big Data industry, but are all exceptional companies well worth a follow.
We tried to pick companies across the size spectrum from cutting edge startups to established brands.
We selected these startups and companies for exceptional performance in one of these categories:
KANSAS CITY, MO (Aug. 20, 2021) – Kenzen, the innovator of monitoring industrial workers’ core body temperatures to predict and prevent heat stress, has announced the results of its most recent research. New data collected from a recent study with three research universities to compare and validate Kenzen’s continuous core body temperature monitoring technology against existing methodologies, has now made the company’s dataset the largest one on continuous core body temperature monitoring in the world. It includes over 75 unique subjects monitored for >24 h, totaling >100,000 minutes of ground truth core temperature data (while wearing the Kenzen device).
The research-validated that the Kenzen wearable device algorithm can now accurately measure workers’ body temperature at rest and during physical activity, in cool, hot, and humid conditions. The research compared the Kenzen device against two current gold standards of measuring core body temperature: when an individual ingests a (gastrointestinal) pill and wears a device to track temperature and when a rectal thermometer is used.
These gold standard methods of measuring core body temperature are problematic for broad industrial use because they are highly invasive and/or expensive, and therefore not scalable. The Kenzen system also factors in biological sex, age, sweat rate, hydration, and heat susceptibility into its calculation of an individual worker’s heat risk, as each of these components play a role in the person’s ability to handle working in the heat. The research has concluded that the Kenzen system meets the industry-accepted standards for core temperature accuracy (i.e. mean absolute error ≤0.3°C) for core body temperatures ranging from 36 to 40°C and environmental conditions ranging from 13 to 43°C (55-109°F).
The research was conducted at three top universities for heat-stress physiology research, including University of Sydney (Australia) and Massey University (New Zealand).
“Many core temperature monitoring solutions fail at temperatures ≥38.5°C (101.3°F), but temperatures above this point are when heat-related injuries and illnesses occur. Using a highly accurate core temperature device is paramount to keeping workers safe,” said Dr. Nicole Moyen, vice president of research and development, Kenzen. “We also built the Kenzen algorithm for all workers – not just young, fit males – and wanted to ensure it would remain accurate for activities in a wide range of environmental conditions.”
“Luckily, there’s increasing awareness and urgency to address heat stress among workforces,” said Heidi Lehmann, Kenzen president and co-founder. Lehmann and her team are spending the summer deploying the system around the world, from solar sites in Florida to mines in Ontario, with fire fighters in Texas and utility workers in Kansas.
Recent studies on the effects of heat on industrial workers have been cited in congressional testimonies and in the New York Times. While only three U.S. states have industrial standards for working in the heat, OSHA recently released new guidance for protecting indoor workers.
Kenzen devices worn by workers contain sensors that monitor, in real-time, an individual’s physiological responses. The worker is warned, via a smart phone app and device vibration, when their core temperature is too high and they are in danger of a heat-related injury or illness. Managers have a corresponding app that alerts them when a worker needs an intervention to stop work, rest, and hydrate. Both workers and their managers also receive a second alert for when it’s safe to return to work based on their own physiological data. EHS leaders use the Kenzen analytics dashboard to make individual, team, or enterprise-wide decisions to minimize heat-related injuries and illnesses across their worksites by looking at aggregated data across weeks and months.
The Kenzen solution integrates the company’s commitment to data privacy; only workers can view the details of their personal health information, while safety managers and other EHS leaders only see what’s necessary to keep workers safe.
Kenzen has deployed its award-winning heat monitors with workforces across the globe in domains such as construction, mining, field services, manufacturing, renewable energy, utility oil and gas, ag, and transportation.
Founded in 2016, Kenzen is the premier physiological monitoring platform to keep workforces safe from heat, fatigue, and over exertion on the job while providing data driven insights to maintain productivity. For more information about heat stress and how to integrate the system into a safety plan, visit Kenzen.com.
Concept: American startup Kenzen has released a real-time worker heat monitoring system to predict and prevent illness and injury from heat, over-exertion, and fever. The cloud-based SaaS system involves a wearable PPE device that workers wear on their arms to alert themselves and their supervisors when the core body temperature approaches unsafe levels. Real-time alerts enable immediate intervention and safety from heat injuries.
Nature of Disruption: The wearable device leverages its sensor complement to track multiple physiological and environmental metrics such as skin, activity, heart rate, and ambient temperatures. Data from the sensors help predict core body temperature in real-time. The system sends multi-level alerts to workers through device vibration, iOS or Android app notification, and to supervisors through the web dashboard, indicating that the worker should take a break and allow the body temperature to return to normal levels. Alerts are accompanied by actionable recommendations that advise workers to take a break, find shade, remove excess clothing and equipment, or drink water to reduce body heat. Subsequently, the system sends a ‘back to work’ alert when the worker’s body temperature returns to a safe level. The system’s data can help companies identify heat risk and modify worksites accordingly to improve worker safety, maximize productivity, and manage outcomes. Some of the modifications might include work-rest schedule changes, the addition of water and shade stations, the inclusion of air-conditioned rest areas, and recommendations for pre-staging ice-bath locations during extreme weather and working conditions. The data can also be used to make informed decisions about workplace expenditures like equipment and clothing. The Kenzen system has been piloted on global industrial conglomerate worksites in domains like construction, power, oil and gas, field services, and renewable energy.
Outlook: Workers who are exposed to extreme heat or work in hot environments are at an increased risk of heat stroke, heat exhaustion, and accidental burns. Although heat-related illnesses and injuries are preventable, they can prove to be fatal if not detected on time. Kenzen aims to offer a cloud-based risk management system that would provide real-time insights to prevent heat-related illness and injuries among workers and help companies acclimatize their worksites to improve worker safety. In the future, the startup wishes to introduce open APIs to incorporate the heat management system into large connected-worker platforms. It also expects to receive Intrinsic Safety (IS) certification, required for the use of the system in mining, oil and gas, and other enclosed environments.