I3 Support Services
We provide installation, configuration, training, and support services for IoT network communities based on I3 Software.
I3 Customization Services
We can customize and enhance I3 software to meet the needs of a commercial data management network including supported IoT devices, and applications. Features that provide for privacy, incentives, and transparency needs are built into the software's DNA.
Ecosystem Enhancement
We support IT departments, service providers, accelerators, application developers, and device manufacturers wishing to excel in integrated data community environments

Our Mission

We Support Ecosystem Data Driven Innovation

Data Driven Insights

Innovation requires data, lots of data from lots of sources, and by creating a network of real-time data sources insights are accelerated

Economic Advantage

Innovation can be expensive but by making it easier for applications to find needed IoT data and by leveraging IoT device data IoT network economics are maximized,

Time Efficiency

Innovation takes time, by providing data when and where it is needed, concepts can be rapidly evaluated and operationalized

Use Cases

Recent Projects

Smart Parking
Smart Parking

Government Services

Community Security
Community Security

Shopping District

Healthy Environment
Healthy Environment

Community Healthcare

Video Analytics
Video Analytics

Service Demand Planning

The Latest News

The Need for Information Networks

The pandemic of 2020 has been difficult to deal with as an immediate crisis and at the same time, it is a learning experience that can be used to make ourselves grow as a society. One of the many lessons that have to be absorbed relates to the nature of information. The COVID-19 virus does not respect geographic or organizational boundaries and that means our efforts to confront the virus have to also transcend organizational boundaries. Unfortunately, historically we have designed our infrastructure systems around organizational hierarchies and made it difficult for information to flow around these hierarchies. For example, when a hospital collects data, it does so in a way that facilitates the operation of that hospital. Electronic Health Record (EHR) systems facilitate data flows between hospitals as but only in prescribed paths that are not easily adapted to meet the needs of a crisis. Information flows have be managed in a more agile fashion if the goal is to allow data to shape our response strategy.
Lacking a coherent information architecture, emergency responders, nursing homes, public safety officials, and other critical workers have been forced to take it upon themselves to manage information flows between organizational entities. While we are thankful for the efforts of these individuals/institutions, it should not have been this difficult to develop a data-drive, coordinated response strategy. We should not be in a situation where different leaders are looking at different data or interpreting the same data differently as they establish policy.
Traditionally when people discuss infrastructure they focus on the highway system, airports, and shipyards. Only recently have been begun to consider the Internet a critical part of our infrastructure – it seems certain that our response to COVID would have been even more stunted had we not embraced this expanded definition. However, this pandemic experience calls into question whether we should push further; maybe the acceptance of data connectivity as infrastructure demonstrates an insufficient appreciation for the true need. Perhaps, information exchanges should be included in our understanding of critical infrastructure. Such information exchanges go beyond linking data producers with data consumers to provide a context to the enabled exchanges. If these information exchanges had been in place prior to the pandemic, data consumers would receive data with an understanding of what that data represents. It is that contextual information that allows simple binary data to become valued information that enables the decision making we need.

Data Silos Hurt Our Covid Response

The COVID-19 pandemic has disrupted the world. Many refer to the pandemic as an unforeseeable event, a black swan that could not be planned for. We wish to agree and to disagree with such sentiments. While the specifics of the virus could not have been expected, it was clear that many situations such as plagues, wildfires, earthquakes, and more do not respect organizational boundaries yet we continue to build data networks that do.
The siloed nature of our data networks makes it difficult for data to flow across organizational structures and that makes it impossible use data for situational awareness. Our unpreparedness made assessment and communications much more difficult than it should have been and that in turn hindered our ability to respond.
We do not need another application and we do not need a new detection system, we need a new way to think about data networks!