
Authentor Systems
closedPrivately held company with headquarters in englewood.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor investor investor | €0.0 | round | |
$4.5m | Series B | ||
Total Funding | 000k |
Sentry Systems, established in 2018, operates as a privately held company focused on industrial asset monitoring through a combination of proprietary hardware and intelligent software. The firm was co-founded by Nick Toussi, who serves as Chairman and CEO, and Chris Krstanovic, the Executive VP and CTO. Toussi brings over 35 years of experience in business leadership, particularly in roll-up acquisitions and growing technology companies, with degrees in Mechanical Engineering, Aeronautical Technology, and Computer Science. Krstanovic also has more than three decades of experience in product development across various sectors, including aerospace and scientific instrumentation, and previously founded Novalab, a technology development company.
The company's core business revolves around a sophisticated network of proprietary data sensors, a patented industrial gateway, hardware, firmware, and software. This integrated system captures real-time data from deployed assets, which is then transmitted to a Network Operating Center. At the center, the data undergoes analysis by artificial intelligence and is subsequently verified by human subject matter experts. The primary objective is to convert vast amounts of raw data into actionable insights for asset owners. This allows clients to enhance the affordability, sustainability, safety, and reliability of their assets. The company has a history of developing specialized technologies, including control systems for the NASA/JPL Mars Lander program and a portable colorimeter for a major scientific instrument provider. It has also developed wireless sensors to detect vehicle presence for automated parking systems in cities like San Francisco.
Sentry Systems targets asset owners who require detailed, real-time information to manage and optimize the performance and value of their deployed infrastructure. The business model centers on providing this end-to-end data collection and analysis service. By integrating hardware sensors with an AI-powered analytics platform, the company delivers critical information that supports proactive maintenance and operational decision-making.
Keywords: industrial asset monitoring, proprietary data sensors, real-time data analysis, artificial intelligence, network operating center, hardware and software integration, asset optimization, predictive maintenance, industrial IoT, infrastructure management, sensor networks, data-driven decision making, Nick Toussi, Chris Krstanovic, asset sustainability, operational reliability, patented industrial gateway, firmware design, remote monitoring, asset performance