The Internet of Things is generally defined as “Smart” + “Connected” + “Edge Devices” (Planes, Trains, Automobiles, Industrial & Farming Equipment, Medical Equipment, and Consumer Electronics)
Predikto focuses on putting the “smart” into managing smart connected devices, equipment and complex capital assets in order to forecast asset behavior/performance.
Industrial asset OEMs, operators and maintenance organizations are challenged by equipment performance degradation and failure as they impact uptime and efficiency. While reliability and condition-based solutions have been around for many years, predictive analytics (machine learning) is providing significant new capabilities to improve performance and profitability.
Approximately 2,000 hardware, software and business leaders attended the second annual O’Reilly Solid 2.0 IoT conference in San Francisco. Attendees were given the opportunity to vote on the startup they believed was making the most innovative impact in the field of industrial or consumer IoT. Of the 30 or so startups at the conference, Predikto was voted best startup by attendees for its telematics / IoT based predictive analytics, predictive maintenance and asset health management solutions.
This was great exposure for us at Predikto, and now we are up for 2 awards at the upcoming Solutions 2.0 Conference in early August. We are going head to head against some big players in the industry in the categories of Asset Condition Management and Asset Management. Mario Montag, Predikto CEO, will be presenting on the topic of Predictive Analytics in Asset Management. This is another indication of the high demand for IoT products and solutions, the acceleration of Predikto within the Industrial Internet market and the large innovative technology community in Atlanta.
Mario Montag was quoted after the Solid Conference: “It is great to see validation from the market and conferences with regards to our Solution based predictive analytics technology and approach. We are not a tool to enable customers to do more. We deliver results and bring to light full transparency on the ROI and impact we are having to solve real problems with asset reliability.”
We have also been getting some great traction with customers and partners. We recently announced a partnership with New York Air Brake, subsidiary of the Knorr-Bremse Group in Germany, to incorporate Predikto’s auto-dynamic predictive analytics platform, MAX, into the company’s LEADER advanced train control technology solutions via its internet of things (IoT) initiative. See the full story here.
Needless to say we are all very are all very excited about the awards and recognition Predikto is receiving and it is legitimizing the need for a real solution in predictive analytics for the IIoT.