Build Enterprise IoT Application in Days

Concert makes it possible for stakeholders in a
wide array of industries (e.g. manufacturing, fleet
operations, agriculture) to rapidly build and launch
enterprise grade IoT services with a minimum of code.


Enterprises across a wide array of industries (e.g. transportation/logistics, manufacturers, suppliers of heavy industrial equipment, hospitals) seek operational efficiencies and business model transformation through the application of IoT technologies. While possessing the deep operational expertise required to define the desired solution, the vast amount of SW developer resources required for implementation often results in “failure to launch”. Concert IoT is a “low code” paradigm toolkit that greatly increases the productivity of SW developers and makes it possible for non-developers with operational expertise to take the lead in creating industry and firm specific experiences.

Concert Layers

Taking into account that many enterprises have invested in pre-cursors to IoT (e.g. M2M, SCADA programmable
controllers), Concert IoT is offered in three platform layers that may be deployed separately depending on where they are in their “Internet of Things” evolution:

Rapid Application Framework

No insight into the current state of your devices?
Deploy Concert’s Rapid Application Framework (RAF) to get your monitoring application up in less than a week by leveraging its “low code” visual design tools. Rapidly integrate information from existing business systems (e.g. CRM, ERP).

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Insight Framework

Not generating predictive insight from sensor or field
support team data? Deploy the Concert Insight Framework
(IF) to predict and respond to failure conditions before they
occur. Add IF “Field Force” to arm your field support teams
with the information they need to resolve issues with a
minimum of “truck rolls”.

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Monetization Framework

Want to Generate Revenue by commercializing your IoT
services and Insight? Deploy Concert’s Monetization
Framework (MF) to expose services and data assets to
interested “data consumers” and monetize consumption.

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