Park Place Technologies scores IT hardware health with AI built on 35 years of repair data
The Cleveland company’s new ParkView Asset Intelligence platform rates servers, storage and network gear from 0 to 100 and benchmarks each device against similar hardware, so IT teams can decide whether to refresh, repair or retire it. Existing customers can try the beta through Oct. 31.
Park Place Technologies has launched an artificial intelligence (AI) platform that rates the health of servers, storage and network equipment on a scale of 0 to 100, drawing on more than 35 years of the Cleveland company’s own hardware maintenance records.
The platform, ParkView Asset Intelligence, went live Sept. 30. Park Place describes it as giving IT teams a view into device condition that was previously available only to original equipment manufacturers (OEMs), the companies that build the hardware.
“ParkView Asset Intelligence is able to provide the insights, previously only visible to OEMs, to our customers and business partners – empowering them to make the most informed asset and financial decisions for their enterprises,” said Chris Adams, CEO of Park Place Technologies.
By the numbers
- $1.2 billion in annual revenue at Park Place Technologies
- More than 3,000 employees
- More than 25,000 customer organizations in 180 countries
- 35-plus years of hardware maintenance records behind the scores
- About 1 million serviced assets across every major manufacturer
- About 1 in 50 devices assessed so far flagged as high risk
- Dozens of customers assessed devices during the beta
- Oct. 31, when the beta for existing customers closes
Three streams of data behind each score
Each lifecycle health score draws on three sources: Park Place’s maintenance records, the availability of spare parts in the customer’s region, and the customer’s own asset performance and service history.
The platform collects hardware data directly from enrolled devices, independent of the operating system, so scoring continues even when that system is down. Each score comes with a confidence indicator.
Scores mean more in context, Adams noted. A device that scores 66 looks different once an IT team sees that comparable devices in the same model family average 92. The platform compares each device against similar hardware by manufacturer, product family and product line.
Customer data stays separate during that benchmarking, explained Daniel Nelson, Park Place’s chief product officer. Each customer’s data and device details sit in segregated silos, and only aggregate scores and issues feed the comparisons.
“We compare aggregate scores and issues, but those aggregations are scrubbed from any association with the customer, including any device specific identifiers or configuration details,” Nelson commented.
The score also moves when configuration problems, firmware gaps or declining components show up, before they turn into a support ticket. A fleet dashboard breaks scores out by manufacturer, product family and location.
Built in Cleveland, with more hiring ahead
Park Place developed the platform entirely with staff at its Cleveland headquarters, Nelson noted. The company does not disclose the size of its development teams.
The launch is also adding jobs in Northeast Ohio.
“We are actively building out the development teams for this as well as our other AI products under development,” Nelson said. “That work is centered around our Cleveland HQ, and secondarily in London.”
Dozens of customers assessed their hardware during the beta. When it closes Oct. 31, pricing will be based on the number of devices a customer wants analyzed.
