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.
Transforming simulation data into actionable insights
How does HEAT work?
HEAT transforms data into actionable insights by harnessing multiple data sources
How HEAT works
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.
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.
Generating Actionable Insights
We believe data is the untapped resource in simulation training and have built HEAT to transform that resource into actionable insights.
These insights will provide a transformative change in how training is delivered, enabling higher performance, in less time and for lower cost.
HEAT adds value by integrating data capture and analytics into the training process.
It delivers actionable insights that improve human performance, in less time, and lower costs.
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.
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?
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 knowing what sort of needle you're looking for.
AIR COMMODORE IAN TOWNSEND
AOC 22 Gp, RAF
Examples of Actionable Insights.
IAG Cargo - Training Insight
Capturing data can reveal unexpected insights and help identify previously unknown challenges. For example, during the IAG Cargo project, data highlighted that left-handed forklift drivers required more training time, allowing for targeted improvements in training programs.
Data driven simulation has the power to change people train, arming students and instructors with actionable insights to improve human performance.
These insights will provide a transformative change in how training is delivered, enabling higher performance, in less time and for lower cost.
The first step towards generating actionable insights is to capture and store data in a standardised way.
Data driven simulation has the power to change people train, arming students and instructors with actionable insights to improve human performance.
Good AI needs good data, and the first step to harnessing its power is capturing and storing data in a standardised way to generate actionable insights.
These insights will provide a transformative change in how training is delivered, enabling higher performance, in less time and for lower cost.
HEAT in action
