top of page

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 i
ncrease the throughput of training systems. 

HEAT Software
IT2EC-BAE-Hawk-RAID and dashboard-pr-image-3.jpg
HEAT logo

Transforming simulation data into actionable insights

How does HEAT work?

HEAT transforms data into actionable insights by harnessing multiple data sources

HEAT data input
gradient-dark.png

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.

HEAT Sankey

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 core functions

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 output

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. 

HEAT sankey chart
HEAT core functions

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.

gradient-dark.png

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.

HEAT output
HEAT core function

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 input step one

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.

How HEAT works

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.

View all case studies
HEAT used in defence forces
line-pattern-big.png

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.

IAg cargo.png

Kongsberg RWS  - Instructor Ratio

Data capture and analysis enhance instructor oversight, allowing for more efficient training. One customer improved their instructor-to-student ratio from 1:3 to 1:12, significantly optimising their training capacity.

Screenshot 2024-04-23 at 12.40.57 p.m..png

Project iDAS - Quantifying Airmanship

Using objective data to evaluate subjective performance measures, such as airmanship, helps enhance objectivity, efficiency, and transparency in assessments.

idas.jpg
RS81875_ISON_230309_BAESyst_6650_edited.jpg
196A8782.JPG
RS81893_ISON_230309_BAESyst_6824.jpg

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.

Simulation training in action

Data driven simulation has the power to change people train, arming students and instructors  with actionable insights to improve human performance.

HEAT software screeb

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.

HEAT used in the field

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