Accelerating the Industrial Internet of Things
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TeDaLoS

remote inventory monitoring with IoT
Austria
2015
Private
< $10m
11 - 50

Are you ready for the digital inventory monitoring of the future? We are too! With this in mind, we have devised a system that lets you know immediately the quantity, condition and location of your goods – precisely and in real-time – just as though you were taking a direct look at the shelf, the truck or the production location! Regardless of whether you are looking for small parts, fluids, raw materials, C components, office materials or spare parts. Our aim is to relieve companies of the task of monitoring their own inventory and even of the reordering process, right across the business. The short version: The inventory monitoring of the future with the Internet of Things!

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Our end-to-end systems make smart decisions. The combination of autonomous sensor units and Cloud system provides information about your inventory levels, manages your reordering system, provides information about temperature fluctuations and, in the event of theft, can also notify your security personnel. TeDaLoS improves transparency and efficiency without long-term ties, investment, restricted mobility, process changes or any elaborate integration in IT systems.

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industrial manufacturing, automotive, wholesales, logistics fulfillment

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Hardware
Processors provide the intelligence behind IoT systems and are often integrated into system-on-a-chip designs.
Hardware that enables dual directional communication for data collection and control message delivery. Examples include cellular, Ethernet, and Wi-Fi.
Sensors transform energy into electrical data; they are the eyes and ears of IoT. Actuators transform electrical data into energy; they are the muscle of IoT.
IoT power supplies include traditional, thin-film and printed batteries, energy harvesting modules, flexible photovoltaic panels and thermoelectric sources.
Technologies that enable legacy devices and other systems to connect to the IoT. They integrate technologies and protocols for networking.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Software
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
Security software provides encryption, access control, and identity protection to IoT solutions from data collection through end-user applications.
Services
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
IoT hardware consultancies provide services such as solution specification, product design, connectivity setup, and partner identification.
IoT software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
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