Sigsense's predictive technology helps maximize uptime of the entire production facility by providing the real-time intelligent insights needed to reduce disruptions and maintain a seamless operation.
Sigsense monitors the operation of kitchen equipment and identifies issues before they occur. From the refrigerator being left open, to a blown compressor in the soda machine, Sigsense can help make sure your kitchen is running as it should be.
Sigsense's predictive technology provides IT teams with the insights needed to keep services up and satisfy the most demanding customers.
The Sigsense platform can be easily integrated in any equipment with minimal onboarding time and cost. Contact us if you need remote equipment diagnostics or utilization tracking, or are curious about equipment-based predictive analytics in your field.
Knowing what’s happening with equipment, and quickly resolving any issues with minimum disruption can be an expensive and time-consuming process. Sigsense helps service organizations escape the pitfalls of the break-fix service model by realizing the value of predictive maintenance workflows. Learn more about how AI technology powers Sigsense’s next-generation predictive maintenance solution.
Enterprise Asset Management is all about gaining the insights needed to optimize how assets are being used. High equipment variation, wide geographical distribution, and limited remote access all make the job of managing enterprise assets a major challenge. Sigsense’s intelligent AI provides the real-world utilization insights needed to understand and optimize any asset’s lifecycle in real-time.
Sigsense can help Facilities Management turn trouble tickets into happy and productive employees. Sigsense can track the performance of a variety of office and IT equipment, from wireless routers to coffee machines, and notify of lags and potential outages before they occur.
Enabling Intelligence as A Service for Equipment
Manufacturers and Service Organizations
From a surge protector that can recommend the fuse unit be replaced, to a UPS that warns of compressor overload and sends alerts before the refrigerator goes down, Sigsense helps original equipment manufacturers and service providers transform raw data on traditional hardware products into a AI-based service platform.
GAIN COMPETITIVE ADVANTAGES THROUGH PRODUCT LEADERSHIP
Many OEMs are looking for product differentiation in commodity markets and want to move up the value chain by offering services and solutions in addition to equipment sales. Signsese can help OEMs build a proactive service platform that integrates with the equipment they manufacture.
GAIN RECURRING REVENUE
By integrating with Sigsense, OEMs and service providers can gain competitive advantages in a commoditized hardware market and create new service and solutions revenue streams.
GAIN UTILIZATION INSIGHTS TO INFORM PRODUCT RECOMMENDATIONS
Many facilities have IoT-connected instruments but may have difficulties turning raw data into actionable recommendations. Sigsense works with partners that maintain or operate equipment of all sizes, from million dollar jet engines to laundry machines and help them build in-house predictive maintenance capabilities.
REDUCES SERVICE OVERHEAD
Using Sigsense's AI-based predictive analytics and monitoring solutions, service providers can access real-time analytics through mobile devices and web dashboards and monitor the performance of connected equipment. This can help prevent major equipment failures and avoid significant service costs.
IMPROVE CUSTOMER SATISFACTION
Sigsense not only helps OEMs and 3rd-party service providers reduce service overhead, it also helps end customers minimize downtimes and business disruptions. Sigsense's cloud-based solution is easy to deploy and requires almost no downtime to install.
FASTEST ROUTE TO GAIN AI CAPABILITIES WITH A TURNKEY SOLUTION
Sigsense provides the fastest time-to-value for OEMs, service providors and asset managers interested in implementing machine learning based predictive analytics, without having to make the investments needed to build the technology from scratch.