Affecting nearly 1 in 5000 to 1 in 8000 male babies per year, Posterior Urethral Valve (PUV) Syndrome condition creates blockages in the baby’s bladder and is the most common cause of chronic kidney disease (CKD) due to urinary tract obstruction in children. The condition is often caught during fetal ultrasounds, but can be missed without proper training - an inefficiency that could potentially lead to lifelong health issues, or premature death, for children effected with the condition.‍

CNN Magic Wall, notably used by John King, is an immersive data visualization solution created by InterKnowlogy, that aggregates live data feeds from hundreds of sources, process the information, and visualizes it in a consumable way.

Transporting people, hazardous materials and critical materials exposes these sites to material business continuity risks including community impact, asset damage, fatalities and environmental consequences.

Helping a leading resources company, based in Australia, meet and beat its safety and wellness objectives.

SVT collaborated with InterKnowlogy (IK) to design and develop an immersive and intuitive data visualization experience for their 2022 Swedish Federal Election Broadcast.

The Screen of Dreams integrates with live data feeds consisting of thousands of data points from different Government sources.

How a Leader in Genomics is using Secure and Reliable Technologies to Enable Personalized Care at Scale.

Across the global mining industry, vehicle collisions, vehicle runovers (smaller vehicles) or rollovers take place once every three days. The implications across health & safety, operations and asset management can be extremely severe.

Automation of triggering warnings for natural hazard events and monitoring the response of the control systems in place in real-time - drastically reducing a mining operation's $200m in risk exposure.

IK Insights Data Layering Engine allowed the data in the PPF report to be interactively visualized in different dimensions

Enabling rapid response during increased demand for diagnostics & reporting during outbreaks.

The costs of inoperable devices multiply in magnitude quickly, from lost revenue to the hospitals to issues arising from late detection, disruption to patient care, and other costs associated with medical impairment – with some estimates putting the costs of equipment downtime between $5300 to $9000 per minute.