Pathfinder Project Teams Newcastle Based Training Technology Company VRAI with Local Rocket Artillery Regimen
Newcastle based training technology company VRAI have won a pathfinder contract from the Ministry of Defence (MOD) to develop a data...
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Transforming simulation data into actionable insights
Transforming simulation data into actionable insights.
Capture | Store | Analyse | Visualise
Harness multiple data sources.
Generate high value actionable insights.
What is HEAT?
Every day, all over the world, thousands of hours of simulation training data are lost. This precious resource could be used to objectively assure training performance standards, and provide a digital training record.
We developed HEAT as a solution to extract this resource and transform it into something useful - actionable insights.
We specifically focus on human performance data and deliver it in a way that arms training instructors and their trainees with data-driven objective insights to improve training performance, reduce training cost and increase the throughput of training systems.
How does HEAT work?
HEAT transforms data into actionable insights by harnessing multiple data sources
Generating Actionable Insights
Building a unique profile for each trainee to enhance their development and assist trainers in their feedback. It collects onboarding data, including age, rank, hours of training, and experience level, to establish a comprehensive trainee profile.
During simulations, HEAT captures data points such as control inputs, time, speed, distance traveled, and accuracy to assess performance.
Additionally, it monitors biometric data such as heart rate, eye tracking, and heart rate variability (HRV) to evaluate physiological responses.
Four Core Functions
HEAT has four core functions which work together to produce actionable insights.
1. CAPTURE
Foundations on which everything is built. Good data required for everything else.
2. STORE
Data is securely stored in the cloud. Customer retains ownership of their data.
3. ANALYSE
ML used to identify patterns in data. Actionable insights are then sent to the dashboard for instructors & trainee.
4. VISUALISE
Human Performance centred dashboard. Built from the ground up to visualise sim data.
HEAT harnesses
multiple data sources
Building a unique profile for each trainee to enhance their development and assist trainers in their feedback. It collects onboarding data, including age, rank, hours of training, and experience level, to establish a comprehensive trainee profile.
During simulations, HEAT captures data points such as control inputs, time, speed, distance traveled, and accuracy to assess performance.
Additionally, it monitors biometric data such as heart rate, eye tracking, and heart rate variability (HRV) to evaluate physiological responses.
Transforms simulation data
into actionable insights, enabling higher performance, in less time and for lower cost.
How does HEAT work?
Capture
Store
Analyse
Visualise
CORE FUNCTIONS
HEAT has four core functions which work together to produce actionable insights.
1. CAPTURE
Foundations on which everything is built. Good data required for everything else.
2. STORE
Data is securely stored in the cloud. Customer retains ownership of their data.
3. ANALYSE
ML used to identify patterns in data. Actionable insights are then sent to the dashboard for instructors & trainee.
4. VISUALISE
Human Performance centred dashboard. Built from the ground up to visualise sim data.
ACTIONABLE INSIGHTS
High value, objective, actionable insights
By offering high-value, objective, and actionable insights, the software enables users to visualise complex processes and systems, identifying bottlenecks and areas for improvement with remarkable clarity. This enhanced visibility facilitates data-driven decision-making, streamlines operations, and optimises resource allocation. As a result, users experience increased productivity and efficiency, making HEAT an indispensable asset for achieving operational excellence.
WHAT DO EXPERTS SAY?
How many tens of thousands of hours
of synthetic training have we all done over the last 10-20 years.
Where is that data? Where's it gone?
Going forward, we need to make sure that we
positively plan to collect that data and analyse it
and when we analyse it, we need to know the questions that we are asking.
Otherwise, it really will be trying to seek a needle in the haystack without
AIR COMMODORE IAN TOWNSEND
RAF
HEAT in action
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