Accelerating the Industrial Internet of Things
Log In

ZipLine

Bright Wolf
ZipLine
ZipLine
ZipLine
Healthcare Services
Logistics
Data Processing, Hosting & Services
Maintenance
Information Technology
MQTT
Wi-Fi
When connected devices, from simple IoT buttons to complex mining equipment, medical devices and more are distributed across organizations, sites, and locations with many roles and data types along with requirements for who can access which data, you've got an IoT Data Management, Access Control, and Device Lifecycle nightmare.
Read More
Industrial enterprises with multiple organizations/customers that may have their own end users, requiring secure multi-tenant environments and strict role based access controls.
Read More
Bright Wolf Strandz on top of AWS infrastructure, leveraging AWS IoT, Lambda, SNS, and SQS enables an instant-on visual platform for rapid deployment and configuration of multi-tenant IoT Enterprise Button solutions. Complete with visual management of orgs, sites, buttons, and users, Bright Wolf ZipLine includes a customizable, brandable user interface, out-of-the-box enterprise system integrations, and a fast track to machine learning. While this particular application is targeting AWs IoT Buttons, the same underlying functionality is available for managing significantly more complex connected products and equipment.

Read More
For the IoT Button-specific application, 3 events (single press, double press, and long press) can be mapped to actions like service and supply requests (and fulfillment or cancellation), as well as verification of equipment/area inspections, wildlife sightings, and pickup/cleaning needs. The data from the button is fully contextualized by ZipLine and sent via Lambda and SQS to downstream systems.
Read More
IOT
Read More
Emerging (technology has been on the market for > 2 years)
Read More
Digital retrofit of legacy equipment enabling connectivity and data flow to IoT system.
Replacement of less reliable logging methods of location-specific human observations.
Expanded opportunities for machine learning and new revenue opportunities.
Instant on, no-code deployment and management of IoT devices enables non-technical employees to manage and monitor system activity and buttons without requiring development team.
Granular permissions enable less expensive multi-tenant hosting and allows for different roles to see certain data, such as support teams being able to see support-only data across all sites, and site managers to see all data but only from their site.
Calculations of remaining lifespan enables automatic reordering and replacement of buttons while maintaining continuous history of the logical scenarios being monitored across physical inventory changes.
Hardware
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 software consultancies support the development of data analytics, visualization solutions, and platforms, as well as integration into embedded systems.
Examples of business consulting services include go-to-market design and execution, business model development, channel development, and corporate M&A.
Download PDF Version
test test