Artesis Technology Systems

#conditionmonitoring #predictivemaintanance #IoT #industry40 #productivity

General Information
Company Name
Artesis Technology Systems
Founded Year
1999
Location (Offices)
Turkey +1
Founders / Decision Makers
Number of Employees
20
Industries
Analytics, Finance, Manufacturing
Funding Stage
-
Social Media

Artesis Technology Systems - Company Profile

Artesis Teknoloji is a leading provider of intelligent predictive maintenance solutions, with a focus on #conditionmonitoring, #predictivemaintanance, #IoT and #industry40. Established in 1999, the company has a rich history of delivering reliable and efficient products that have significantly contributed to increasing productivity and reducing maintenance costs for its global clientele.

The company's technology has garnered recognition for its impact on various industries, including receiving funding from notable entities such as NASA, US Army, Pratt & Whittney, and Arcelik. Additionally, Artesis has solidified its position in the market through its affiliation with GE Energy since 2010.

Artesis is lauded for its robust Intellectual Property portfolio, boasting a comprehensive range of issued and pending patents that provide extensive coverage. In recognition of its innovative solutions, the company's Motor Condition Monitor (MCM) received the esteemed "Editor’s Choice Award", 40 Best Products of 2000, Control Engineering USA, and the "Technology Innovation Award 2007" from The Institution of Engineering, UK.

The company's product line includes the Motor Condition Monitor (MCM), Plant Condition Monitor (PCM) instruments, and the Artesis Enterprise Server (AES) software package. These offerings cater to plant monitoring, predictive maintenance, and process optimization across a diverse array of industries, including chemical and petrochemical, metal processing, power generation, pulp and paper, water, utilities, cement, food and beverage, automotive, textile, defense, and maritime sectors.

Based in Turkey, Artesis Teknoloji embodies a strong commitment to revolutionizing the realm of predictive maintenance and condition monitoring, making it a compelling prospect for potential investors aiming to tap into the burgeoning analytics, finance, and manufacturing sectors.

Taxonomy: Predictive maintenance, Maintenance, Machine learning, Predictive analytics, Industrial equipment, Technology, Sensors

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