From Computer Vision to Telemetry: Inside Equiyd’s Connected Ecosystem

Equiyd has reached a pivotal point in its development.

Our ecosystem now holds more than 33.4 million structured, machine-readable data points, generated through daily interactions involving more than 35,000 horses across 62 countries.

Behind those numbers is an extraordinary volume of real-world equestrian information.

Competition rounds. Flatwork sessions. Dressage tests. Training videos. Horses beginning their education. Established horses competing at an elite level. Care records, performance histories, movement data and rider feedback gathered over time.

That scale has strengthened our computer vision models and enabled us to do far more than we originally thought possible.

But to understand what Equiyd has built, one point is fundamental:

Equiyd is one connected ecosystem

Equiyd can be accessed through different apps and interfaces, but they are not disconnected products.

They are different ways of entering and using the same connected Equiyd ecosystem, built around the horse.

At the centre is the horse’s Equiyd profile and connected record.

That record brings together:

• daily care and horse management;
• health and professional records;
• training and performance history;
• digital passport information;
• uploaded videos;
• AI riding analysis;
• movement and biomechanics;
• session context;
• and telemetry.

Around that central horse record sits the wider Equiyd ecosystem, including our patent-pending biosecurity technology, Equi-Agent, HayTalk and Check-Vet-Pay.

Each service has a different purpose, but they all connect through the same Equiyd account, the same horse profile and the same underlying data infrastructure.

Owners remain in control of their horses and decide who they share them with.

When an owner gives access to a rider, trainer, groom, yard manager or another member of the horse’s team, that person can interact with the same horse through their own Equiyd account, according to the permissions they have been given.

Different users may access Equiyd through different interfaces, but the horse, its record and the intelligence surrounding it remain connected.

The Equiyd horse management app

The Equiyd horse management app provides the everyday foundation of the ecosystem.

Available through the app stores, it allows owners and the people they trust to access and manage:

• daily horse care;
• health and management records;
• appointments and reminders;
• training and performance information;
• AI riding analysis;
• movement and biomechanics;
• video uploads;
• digital passports;
• biosecurity alerts and information;
• Equi-Agent, our AI-assisted equestrian knowledge and support service;
• HayTalk, our dedicated community space;
• Check-Vet-Pay, providing a safer way to buy, sell and find a horse through intelligent matching and protected transactions;
• and permission-controlled sharing.

An owner can share their horse with another person, and as long as that person has an Equiyd account, the horse appears within their app according to the access they have been granted.

The same horse does not need to be recreated by every member of its team.

The owner, rider, trainer, groom and other authorised professionals can all work around the same connected horse record.

Our professional yard interface brings the same connected horse-management capability to trainers and yards managing larger numbers of horses.

It remains part of the same owner-controlled ecosystem rather than creating a separate record or database, while providing professional teams with the operational tools and multi-horse functionality relevant to running a yard.

Our community has strengthened our computer vision

Like every computer vision system, Equiyd began with a foundational training dataset.

Models improve as they are exposed to a greater variety of relevant, high-quality, real-world information.

As the Equiyd community has grown, so has the breadth and depth of the information strengthening our technology.

Every riding video uploaded, every analysis completed and every piece of feedback received helps us understand how our models perform across different:

• horses;
• riders;
• disciplines;
• levels of experience;
• environments;
• surfaces;
• movements;
• and types of training.

Our users have not simply adopted the technology. They have actively contributed to its progress.

The volume and variety of community data have enabled us to improve how our models interpret horse and rider movement and to create increasingly advanced analysis.

Every person who uses Equiyd and provides feedback becomes part of that journey, helping us refine the models and make the technology more relevant to real horses, real riders and real training environments.

We are also working with a number of elite riders, whom we will announce shortly, to refine those models even further, particularly across showjumping and eventing.

Their expertise, combined with the scale of real-world information already within Equiyd, adds another important layer to the accuracy and discipline-specific depth of our technology.

Computer vision was only part of the opportunity

Computer vision reveals an enormous amount about movement, technique, balance, biomechanics and the relationship between horse and rider.

But video is only one part of the performance picture.

Telemetry adds another dimension.

With our CTO, Dr Alfonso Ferrandez, bringing a background in Formula One, telemetry was a natural progression for Equiyd.

Formula One does not evaluate performance through one camera angle or one isolated metric.

It combines visual information, telemetry, mechanical data, environmental conditions, historical performance and marginal changes across multiple sessions.

Horse sport should be approached with the same level of intelligence.

The horse and rider operate as one performance unit. Understanding that partnership means bringing together:

• the horse’s care and management history;
• training and workload;
• computer vision;
• movement and biomechanics;
• rider influence;
• session conditions;
• and telemetry from the horse and rider.

That is why we built Equiyd Capture.

Equiyd Capture: the telemetry module within the ecosystem

Equiyd Capture is a separate app interface connected directly to the same Equiyd account and ecosystem.

Existing Equiyd users do not need to create another account.

They log in using the same email address and password they already use for the main Equiyd app.

Their horses automatically appear within Equiyd Capture, including horses they own and horses that have been shared with them.

This means that when an owner shares a horse with an authorised rider, that horse can also appear within the rider’s Equiyd Capture app.

The rider selects the horse they are riding and records the session against that specific horse.

Before beginning, they can add important context including:

• the type of session;
• the discipline;
• whether it is training or competition;
• the riding surface;
• the ground conditions;
• and other relevant environmental information, the sensors in the phone will pick up the weather conditions.

They then press record and ride.

The telemetry from that session is connected to the correct horse within the Equiyd ecosystem.

It is not an anonymous graph or an isolated recording. It becomes another part of the horse’s developing performance picture.

The horse’s care record sits within the main Equiyd app. The ride is recorded through Equiyd Capture. The deeper information from the session can then be viewed through the telemetry platform.

Different interfaces, but one connected horse and one continuous flow of information.

Turning the mobile phone into a telemetry device

Equiyd Capture collects valuable telemetry using the sensors already built into the rider’s mobile phone.

No additional Equiyd hardware is needed to begin.

The phone captures information including movement, acceleration and G-force during the ride.

That information alone provides valuable insight into the session.

When connected with the horse’s uploaded video, computer vision analysis, biomechanics and historical information, it becomes significantly more powerful.

It allows riders and trainers to examine:

• one session against another;
• changes in movement over time;
• variations between training and competition;
• the effect of different surfaces and conditions;
• changes in acceleration and movement patterns;
• and the interaction between the horse, rider and environment.

A ride is no longer viewed as an isolated event.

It becomes part of a connected, longitudinal picture of the horse and rider.

Connecting additional sensors

The mobile phone is the starting point, not the limit of Equiyd Capture.

The app connects additional compatible sensors through the rider’s phone.

Those sensors do not have to be manufactured by Equiyd. Compatible third-party sensor technology can also work through the capture interface and contribute information to the same recorded session.

That means riders and yards may be able to use compatible sensor technology they already have rather than being locked into one hardware manufacturer.

We are also producing our own sensor configurations for the horse and rider, based on the optimal biomechanical positions identified through our research.

These additional sensor placements provide an even richer understanding of how the horse and rider move together.

By combining mobile-phone telemetry, strategically positioned sensors, computer vision and biomechanics, Equiyd captures a far more complete performance picture than any single source can provide alone.

From capture to deep telemetry analytics

Equiyd Capture records the session.

The dedicated Equiyd telemetry platform then provides the deeper analytical layer.

Professional riders, trainers and yards can log in through a desktop and examine the granular detail of performance in the same way that a Formula One team reviews telemetry after a session.

The platform provides:

• gait and symmetry analysis;
• stride analytics;
• limb dynamics;
• horse and rider movement analysis;
• acceleration and G-force;
• anomaly detection;
• comparison between sessions;
• performance trends over time;
• and identification of subtle changes.

Our advanced models also examine asymmetry and lameness-related movement patterns, alongside the interaction between the horse, rider, equipment and environment.

This does not replace the rider, trainer, coach or veterinarian.

It gives experienced professionals access to deeper, objective information and helps them identify subtle changes that may otherwise be difficult to see.

Individual-horse analytics

For an individual horse, the telemetry platform compares one session with another and tracks change over time.

The most meaningful comparison is often not one horse against another. It is the horse against its own normal movement and performance patterns.

The platform identifies differences in areas including:

• gait symmetry;
• stride;
• limb movement;
• consistency;
• acceleration;
• rider influence;
• and overall performance.

Cross-session trend analysis makes it possible to see whether a change is temporary, repeated or developing over time.

Anomaly detection highlights movement or performance that differs from the horse’s established patterns.

That gives the rider or trainer an opportunity to investigate what has changed and consider the wider context surrounding the horse.

For example, a difference in movement can be considered alongside changes in workload, training, surface, farriery, dentistry, tack, rider or wider management.

Multi-horse analytics for professional yards

Professional yards and teams can use the same intelligence across multiple horses.

The multi-horse analytics platform provides a central view of individual horse trends, session comparisons and unusual movement or performance changes across the yard.

A trainer can move from an overview of the whole group into the granular detail of an individual horse and its sessions.

This helps professional teams remain on top of subtle changes across larger numbers of horses without losing the individual picture of each one.

A yard can review each horse against its own established performance patterns while also gaining a broader view across the whole operation.

When marginal gains matter and fractions of a second influence performance, this depth of visibility becomes extremely valuable.

Different interfaces, one connected horse

The Equiyd ecosystem includes several connected interfaces.

The Equiyd horse management app

This supports owners, riders and the horse’s wider team with daily care, horse management, records, sharing, digital passports, biosecurity, AI riding analysis, movement and biomechanics.

It also provides access to connected services including Equi-Agent, HayTalk and Check-Vet-Pay.

The professional yard interface

This gives professional teams the ability to manage larger numbers of horses within the same owner-controlled ecosystem, with functionality designed around the operational needs of a yard.

Equiyd Capture

This allows riders to select a horse, add the context of the ride, record a session using the sensors within their mobile phone and connect additional compatible sensors.

The Equiyd telemetry platform

This provides the deep desktop analysis, cross-session comparisons, anomaly detection, marginal-gain analysis and multi-horse intelligence.

These may appear as different apps or platforms, but they are all connected to the same horse and the same underlying Equiyd ecosystem.

The rider does not recreate the horse in each interface.

The professional yard does not build a separate record.

The telemetry session does not sit apart from the horse’s history.

The owner shares the horse, the horse appears for the authorised rider, the rider records the session through Equiyd Capture, and that session becomes available for deeper analysis through the telemetry platform.

It is one connected flow of information.

The intelligent layer connecting everything

What makes Equiyd different is that telemetry does not sit in isolation.

A change in movement can be considered alongside changes in:

• workload;
• training;
• farriery;
• dentistry;
• tack;
• rider;
• surface;
• competition schedule;
• environment;
• and wider management.

Equiyd does not simply provide another disconnected dashboard.

It connects performance data with the context already held around the horse.

The horse-management record provides the context.

Computer vision and biomechanics help us understand what can be seen.

Telemetry adds another objective layer of movement and performance information.

The desktop platform then allows riders and professional teams to examine that information in depth.

We built the structured data infrastructure first.

We strengthened the computer vision.

We added movement analysis and biomechanics.

We then connected telemetry to create an even richer understanding of horse and rider performance.

The next stage begins now

Equiyd Capture and the telemetry platform are built, connected and working.

Riders are already using the capture app, recording sessions through their mobile phones and generating telemetry against horses held within their existing Equiyd accounts.

The next stage is expanding its use and working with selected professional riders, trainers and yards.

We are particularly interested in professional showjumping, eventing and racing environments where marginal gains matter and where teams want to use connected care data, computer vision, biomechanics and telemetry to improve their understanding of horse and rider performance.

More than 33.4 million structured data points, 35,000 horses and a community spanning 62 countries have brought us to this point.

This is not a future concept.

Equiyd Capture and the telemetry platform are built, connected and working now.

We have built one connected equine ecosystem that brings together horse management, care records, digital passports, biosecurity, artificial intelligence, computer vision, biomechanics, community, safer transactions and telemetry.

Different interfaces. One horse. One connected source of intelligence.

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