# Alendis AI — full content corpus
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title: Equine biomechanics, explained without the jargon
date: 2026-04-20
description: What biomechanics actually measures, why the human eye misses most of it, and what a longitudinal baseline changes about how you track a horse's health.
Most people who work with horses can see when something is wrong. A trainer who watches the same horse every day will notice a subtle hollowing of the back, a head that carries a fraction higher than usual, a stride that shortens on one diagonal before the rider reports any change in feel. That intuition is real and it is valuable. It is also, at the level of detail that matters clinically, unreliable.
The human eye operates at roughly thirty frames per second of conscious perception and has no stable memory of what a horse looked like six months ago. A developing asymmetry can grow for weeks before it exceeds the threshold at which it becomes visible to an observer who is not looking for it specifically. By then, in many cases, the underlying tissue has already changed.
Biomechanics is the measurement layer that sits underneath intuition. This post walks through what biomechanics actually tracks, why video is enough to do it well, and what changes when you reference every reading against the horse's own history rather than against a textbook average.
## What biomechanics measures
At its core, equine biomechanics describes four things:
1. **Phase structure.** How long each limb spends in stance (on the ground, bearing load) versus swing (in the air, moving forward). A healthy trot has tightly symmetric stance-swing ratios across diagonals. Asymmetry of even a few percentage points, sustained over many strides, is diagnostically interesting.
2. **Joint kinematics.** The angles through which carpal, fetlock, tarsal, and coffin joints flex and extend during each gait phase. Range of motion is individual — some horses simply move through smaller arcs than others — but the shape of the angular curve across a stride is stable for a given horse once mature.
3. **Axial posture.** Head carriage, neck curvature, and pelvic tilt through the stride. The head is an especially sensitive indicator: a horse offloading a front limb will lower its head as the sound limb contacts the ground and lift it slightly as the compromised limb contacts. This "head nod" is one of the oldest lameness signs, and it is almost always present before visible limb dysfunction.
4. **Rhythm and beat.** Particularly for the five-gait horse. Tölt is a four-beat lateral gait; when a horse slips toward pace, the beat separation between the same-side limbs shortens. When it slips toward trot, the diagonal pairing tightens. Both drifts are measurable in milliseconds before a rider or judge can hear them.
These four dimensions produce, per video, a few hundred distinct numbers. Most of them are not individually interesting. The value is in how they change over time, for this specific horse.
## Why video is enough
The dominant alternative to video is wearable sensing — IMUs strapped to the horse, pressure plates on the arena floor, markers on the skin for high-frame-rate optical capture. These systems produce excellent data. They also require equipment, setup time, calibration, and cooperation from the horse. They do not scale to every session.
Video scales. A phone camera captures enough signal for the analysis above. The hard work is in the computer-vision model: detecting the horse against background, localising joint positions to sub-pixel accuracy across thousands of frames, and translating pixel motion into biomechanically meaningful quantities.
What makes this tractable now — and did not, three years ago — is two things working together. The models are better: a modern keypoint-detection network trained on a million-plus frames per week across breeds, surfaces, and lighting conditions generalises cleanly from Icelandic turf to artificial dressage sand to a thoroughbred breezing on dirt. And the compute is cheaper: a short clip is analysed in under two minutes on commodity hardware, not in a batch job overnight.
The practical consequence is that biomechanics can now be a routine check, not a special-occasion assessment. A clip after every ride produces a trajectory, not a snapshot.
The number you will sometimes see — "sub-millimetre asymmetry resolution" — refers to the resolvable difference in vertical head displacement between left-diagonal and right-diagonal strides, averaged over a set. It is not the positional accuracy of any single frame's keypoint. Positional accuracy is sub-pixel; repeated-measurement averaging then drives the asymmetry detection threshold into the sub-millimetre range.
## The longitudinal baseline
The most important idea in how Alendis treats biomechanics is that population averages are the wrong reference.
A textbook tells you that a healthy horse at trot has approximately symmetric stance times across diagonals. Fine. But your horse may have been born with a three-percent asymmetry that has no clinical meaning for it. Measured against the textbook, it looks suspicious. Measured against itself over eighteen months of consistent three-percent asymmetry, it looks healthy — and any new drift becomes visible against its own stable floor, not against a population noise band that hides the signal.
This is the longitudinal baseline. Every horse builds, over multiple uploads, a statistical fingerprint of how it moves when it is well. New readings are compared against that fingerprint. The first upload establishes the baseline; subsequent uploads refine it; changes are flagged as deviations from the horse's own history.
There are two practical consequences of this design that matter for anyone using the platform.
First, **the baseline improves with use.** The first upload gives you a provisional reading. The fifth gives you a reliable one. The twentieth gives you sensitivity to drifts that were previously inside the noise band. This is the opposite of the pattern in many platforms where the first experience is the most impressive and subsequent experiences are incremental. Biomechanics is cumulative.
Second, **a horse's baseline is worth protecting.** Uploading a corrupted or atypical session — a lame horse under medication, a horse in an unusual arena, a rider who is compensating for something — shifts the baseline in ways that reduce future sensitivity. Good hygiene, which the platform enforces by asking about context on upload, is: clean sessions for baseline, everything else tagged and held out of the reference set.
## What the measurements cannot tell you
Biomechanics measures movement, not cause. Alendis can show you that your horse is offloading its right fore by four percent more than baseline; it cannot tell you whether that is a suspensory issue, a trimming imbalance, a shoe coming loose, or a stone wedged in the frog. That is a veterinary question, and the right next step when the platform surfaces a finding is a conversation with your vet — with the biomechanics report attached.
This framing matters. Alendis is not trying to replace veterinary diagnosis. It is trying to make the diagnostic conversation start earlier, on firmer ground, with objective evidence that a change has happened. The vet's judgement is where cause attribution lives. The platform's job is to make the symptom visible before it becomes obvious.
## Where to go from here
If you are a rider, the simplest path is a clip after your next session. Record thirty seconds of trot on a straight line, with the horse moving directly toward or away from the camera. Upload it. Read what comes back. Do it again after your next ride.
If you are a trainer with multiple horses, the pattern extends: build baselines for every horse in the barn, check them weekly, watch for drifts. The cross-horse view shows you which horses are stable, which are improving, and which deserve a closer look.
If you are a veterinarian, the platform is available as a clinical adjunct — longitudinal objective data to bring into differentials, a second view alongside physical exam and imaging. Reports export as shareable links; raw metrics are available to practices running research programmes.
Biomechanics is not new. What is new is that it fits in your pocket, produces data every session rather than every six months, and references that data against the one benchmark that actually matters: the horse itself.
title: Gait analysis for trainers — what to look for, what to miss
date: 2026-04-20
description: A working trainer's guide to reading biomechanics data. Which metrics matter for which decisions, how to build useful baselines, and what the numbers will never replace.
Trainers have opinions about movement. They have to — the daily work of improving how a horse carries a rider depends on reading the animal in real time, adjusting, and reading it again. Most trainers also, after enough years, develop strong intuitions about which parts of a horse's movement they trust their eye on and which they do not.
This post is written for the trainer who has started using biomechanics data and wants to know what to actually do with it. Not the marketing version. The working version.
## What the data is good at
Three things, mainly.
**Detecting drift.** If you have a stable baseline for a horse — six weeks of consistent readings — the platform will flag changes before you can feel them from the saddle or see them from the rail. The most useful flags are stance-time asymmetry (the horse standing milliseconds longer on one diagonal), fetlock load asymmetry (one limb absorbing more impact than the other), and head-nod amplitude (the classic forelimb offloading signal, measured in vertical millimetres rather than inferred from feel).
**Quantifying progression.** When you introduce a new exercise — lateral work, pole work, hill work, interval training — biomechanics gives you a before-and-after on the specific metric you were trying to improve. If you added shoulder-in to develop hind-end engagement, you should see hindlimb stance time lengthen and pelvic asymmetry reduce. If the numbers do not move, the exercise is not doing what you hoped.
**Making the rider conversation sharper.** This is the underrated use case. A rider tells you the horse feels "a bit sticky on the left rein." You have two choices. You can agree, adjust the programme, and hope. Or you can pull up the last ten readings, show the rider that left-lead canter has a twelve-percent shorter suspension phase than right-lead, and have a concrete thing to work on. The second conversation ends differently.
## What the data is bad at
**Judging overall quality.** A horse can have numerically clean biomechanics and still be a dull mover, and a horse can have interesting data and still feel rough under saddle. The data is about symmetry, load distribution, and change — not aesthetics. Judges and trainers evaluate quality; the platform evaluates structure.
**Attributing cause.** An offloading flag on the right fore does not tell you why. It does not distinguish between a sore hoof, a suspensory strain, a poorly fitting shoe, and a horse that is uncomfortable in a new arena. Cause attribution is diagnostic work — yours, your farrier's, your vet's. The data is the symptom, not the diagnosis.
**Predicting future performance.** A horse with clean biomechanics today may not stay clean tomorrow, and a horse with asymmetry today may be stable at that asymmetry for a decade. The platform tells you what the horse is doing now and how that compares to its own history. It does not forecast.
Short clips can mislead. A fifteen-second slice of trot on an unusual surface, with an unusual rider, on a horse that was just handwalked for ten minutes, is a noisy sample. Trust the trajectory, not the single reading. If a flag appears and you cannot explain it, upload another clean clip before acting on it.
## Baselines that are actually useful
The single most common way to get poor data out of a biomechanics platform is to give it inconsistent inputs. A baseline built from clips on five different surfaces, with three different riders, at unknown warm-up states, is a baseline with most of its sensitivity eaten by noise.
A useful baseline looks like this:
- **Same gait each time.** Trot on a straight line, toward or away from the camera, is the most diagnostic. Pick one gait-and-geometry combination and make it your standard.
- **Same surface when possible.** Your home arena is fine. An unfamiliar clinic surface produces readings that look like the horse changed, when actually the ground changed.
- **Same warm-up state.** Five minutes into the ride, after the horse has stretched through a walk and a trot lap, is the usual sweet spot. A cold horse reads differently than a warmed-up one.
- **Clean sessions only.** A session where the horse is off, or on pain medication, or in an unusual context, gets tagged as such and held out of the baseline. Uploading it untagged shifts the reference in directions you will regret later.
Ten sessions fitting those constraints will give you a baseline that is more informative than a hundred random clips. Sensitivity is built from consistency, not volume.
## Reading the metrics — what each one is for
Rough rules of thumb, in decreasing order of how often they produce actionable flags:
- **Head-nod asymmetry.** The classic forelimb offloading signal. If the head vertical displacement on one diagonal is more than a few millimetres larger than the other, and the trend is new, look at the forelimb that is on the ground during the smaller displacement — that is the one being spared. Most useful metric the platform produces.
- **Stance-time asymmetry.** Time the limb spends loaded. A consistently shorter stance on one side often means that limb is uncomfortable at the moment of peak load. Works well for hindlimb issues that head-nod misses.
- **Fetlock load asymmetry.** Peak fetlock extension angle, which maps approximately to peak load. Drift here shows up before the horse is visibly lame and is often the earliest signal for developing suspensory or soft-tissue issues.
- **Stride length and frequency.** Less diagnostic for asymmetry but excellent for tracking progression. A horse building fitness will lengthen stride at the same frequency; a horse losing fitness or comfort will shorten stride or increase frequency.
- **Joint range of motion.** Individual baselines matter more here than almost anywhere else. ROM varies enormously horse-to-horse. Treat your own horse's historical ROM as the only meaningful reference.
- **Beat separation (Icelandic gaits).** For tölt and pace specifically. Measures how evenly the four beats are spaced. Used to quantify tölt quality and detect drift toward pace or trot.
## What to do when you see a flag
The pattern that works, in the order you should try it:
1. **Upload another clean clip.** Confirm the flag. Short-clip noise is real; repeatable flags are real-er.
2. **Check the obvious.** Hoof, shoe, saddle fit, recent workload. These account for more flags than pathology does.
3. **Call the farrier.** Trimming and shoeing drifts show up in biomechanics fast. Often the fix is a ten-minute adjustment at the next appointment.
4. **Rest and re-measure.** A few days off with turnout, then another clip. If the flag clears, you caught a use-load issue. If it persists, it is a different problem.
5. **Call the vet.** With the report attached. A vet who can see the biomechanics will start the examination in a different place than one working from "the horse feels sticky."
The goal is not to replace the vet. The goal is to get the horse in front of the vet earlier, with better evidence, and to keep the training conversation grounded in data that both parties can see.
## The conversation with the owner
One more thing worth naming. Owners of horses in training increasingly expect to see the numbers. A monthly biomechanics summary, sent with a short note on what changed and what you are working on, turns the trainer-owner relationship into something closer to how a physiotherapist communicates with a patient. Professional. Specific. Written down.
That reporting is not busywork. It is how trust gets built when the owner is not there every day. The platform produces the data; the trainer provides the judgement about what it means. Both are required. Neither replaces the other.
title: Introducing Alendis EDGE — biomechanics at the scale of a programme
date: 2026-04-20
description: EDGE brings clinical-grade movement analysis to racing jurisdictions and institutional breed programmes. Private deployment, existing camera infrastructure, audit-grade per-horse records.
The self-serve Alendis product — the app a rider or trainer uses on their own horses — works because biomechanics are cheap to produce per session. Upload a video, read the report, build a baseline. One horse at a time.
Some of the organisations that care most about equine movement do not think one horse at a time. A racing jurisdiction cares about every horse in training in its territory. A national breed programme cares about every registered animal across generations. A large training operation cares about every horse on its books, and about the operational data that links movement patterns to outcomes.
Alendis EDGE is the version of the platform built for that scale.
## What EDGE is
EDGE is the same core biomechanics engine as the self-serve product, deployed differently and scoped differently. Three things change when you move from the app to EDGE.
**Deployment model.** The self-serve product runs in Alendis's cloud. EDGE runs on-premise or in a customer-controlled private cloud. Video never leaves the customer's infrastructure unless the customer decides it should. Data residency, retention, and access control are all configurable per deployment.
**Scale of enrollment.** The self-serve product asks a user to upload clips for horses they manage. EDGE ingests from the video infrastructure a customer already operates — track-side cameras, stable-camera feeds, clinic examination rigs. Every horse in the programme gets a biomechanical record continuously, without changing the workflow of anyone who works with those horses.
**Audit layer.** Every metric EDGE produces is traceable back to the source video frame. When a steward, veterinarian, or integrity officer reviews a flag, they can play back the exact footage that produced the measurement. This is a hard requirement in regulated environments and it shaped the platform's data model from the beginning.
## What EDGE is for
Three use cases, roughly in the order we hear them from the organisations we work with.
### Racing integrity and breakdown prevention
The signals that precede catastrophic breakdown in thoroughbreds — subtle stance-time asymmetry, fetlock load drift, late-phase stride compression — are measurable weeks before they become clinically obvious. In a jurisdiction where every horse's gallop work is on camera, those signals can be extracted continuously and surfaced to veterinary staff.
The value is not a single alert. The value is a per-horse trajectory that a vet can review during routine welfare inspections. A trajectory that is flat means the horse is stable. A trajectory that is drifting means "look at this one next, and here is exactly what changed." That is a meaningfully different workflow than the current pattern of periodic physical exam.
### Breed programme longitudinal data
National Icelandic-horse breeding, Hanoverian studbook assessments, Thoroughbred lineage tracking — the organisations that steward breed populations have rich data on pedigree and outcomes and almost no structured data on movement. EDGE produces a per-animal biomechanical record that can be aggregated at the breed-programme level: how does a specific sire line express joint-loading patterns under work? Which conformational traits correlate with stable longitudinal baselines? The questions are old; the data to answer them has not existed at scale.
### Large training operations
A thoroughbred training yard with two hundred horses in work does not have two hundred informal trainer-intuitions about each horse's movement. It has systems, and currently those systems are built around weighed work, vet-schedule throughput, and the judgement of senior staff. EDGE adds a biomechanical layer: every horse has a per-session record, the yard has a dashboard that ranks horses by drift magnitude, and the head of stables can walk into Monday morning with a ranked list of which ten horses to look at first.
EDGE is not a replacement for on-site veterinary care, track veterinarians, or stewarding judgement. It produces objective inputs to those existing functions. The platform's job is to make sure the right horse gets attention first; the humans' job is the attention itself.
## How EDGE gets installed
The pattern is a six-to-eight-week deployment, broken into three phases.
**Phase one: ingestion.** The Alendis team works with the customer's video infrastructure team to establish a feed from existing cameras into the EDGE processing cluster. No new cabling, no trainer intervention, no visible change at the stable or track level. In most deployments, the cameras and the physical infrastructure are already producing the video; we are adding a consumer of that stream.
**Phase two: baseline build.** For the first four to six weeks after ingestion is live, EDGE is in observation mode. Every horse accumulates sessions against its own baseline. Staff see the dashboards but no alerts are active. This is the period where the system is being tuned to the customer's horses, surfaces, and camera geometry.
**Phase three: workflow integration.** Alerts are enabled in partnership with the veterinary team. Thresholds are calibrated conservatively at first — better to miss a subtle drift than to create a tidal wave of false positives that erodes trust in the system. Over the following quarter, sensitivity is tuned up as staff and veterinarians calibrate their own judgement against the platform's flags.
This is deliberately slow. Movement analysis in a regulated environment is a tool that has to earn its place, and the failure mode we worry about most is a yard or a jurisdiction rolling out the platform, getting flooded with false positives from a miscalibrated sensitivity setting, and losing trust in the data before the value is visible. The six-week tuning window is how we prevent that.
## The data architecture that matters
One technical point worth being explicit about, because institutional customers ask about it first.
EDGE does not use population statistics to flag individual horses. Every metric is referenced against that horse's own longitudinal baseline. This has two consequences that matter at the programme level.
First, **the platform does not create selection pressure on biomechanics.** A yard using EDGE is not being told "horses with this stance-time ratio are unsuitable." The platform is telling them "this specific horse has drifted from its own history." A horse born with a three-percent stance-time asymmetry is not flagged for having that asymmetry; it is flagged if that asymmetry drifts to five percent. The programme is not biased against horses whose baseline movement is outside a population median.
Second, **the data is longitudinal by construction.** The value of a per-horse biomechanical history compounds. A yard that has been running EDGE for three years has a dataset that no new competitor can replicate quickly — not because of IP around the models, but because the data itself is a consequence of time under measurement. Institutional customers tend to think in decades about this. So do we.
## What to do if you think EDGE is relevant
The deployment process starts with a scoping conversation — what video infrastructure exists, how many horses are in the programme, what the regulatory context is. That conversation is the cheapest part; the substantial work happens in the six-to-eight-week deployment that follows.
Institutions interested in EDGE should reach out via `edge@alendis.com`. We do not publish a price list for EDGE because the deployments vary substantially in scale, infrastructure, and integration depth. Every conversation starts with understanding what a given programme is trying to do.
title: Alendis AI is now live
date: 2026-04-20
description: Announcing the public launch of the Alendis AI platform.
Scaffold seed. Real news content lands in Wave 3. Frontmatter title is the
page h1; the body never includes an h1 of its own (Wave E body-no-h1-in-body
rule).
title: Alendis Code of Conduct for Customers and Stakeholders
description: The principles that govern our interactions with customers, shareholders, management, and other stakeholders.
At Alendis, we value respect, integrity, professionalism, and adherence to the FEIF rules. These values are integral to our interactions involving our team members, shareholders, management, customers, and other stakeholders. As such, we expect all associated parties to uphold these principles.
We encourage the right to express opinions and constructive criticism. However, we are steadfast in our requirement for a minimum level of respect and compliance with our company policies for all interactions. At Alendis, we prioritize not only the quality of our services but also the quality of our relationships with our customers. We believe mutual respect is a vital aspect of these relationships.
Our commitment to a positive, respectful, and professional environment means we do not tolerate disrespectful or disparaging behavior, breaches of confidentiality or privacy, dishonest practices, defamation, or harassment. Adherence to all relevant laws, regulations, and the FEIF rules is also a non-negotiable part of engaging with our services.
All associated with Alendis share the responsibility to maintain this code and promptly report any violations. Reports should be made to the Alendis management team or at [codeofconduct@alendis.is](mailto:codeofconduct@alendis.is).
Upon receiving a report, we will review the situation and, if necessary, have a confidential conversation with those involved. Actions, based on the severity and frequency of the violation, will be taken accordingly. This can range from a verbal warning to cessation of services.
Importantly, Alendis reserves the right to discontinue services to any individual or entity that violates this Code of Conduct. This step is taken after careful review against our company's principles and guidelines.
If any party disagrees with a decision, they have the right to present additional information. All actions taken will be documented and stored securely, maintaining transparency and providing a record for future reference.
*Reykjavík, 2. apríl 2023*
title: Privacy Policy
description: How Alendis collects, uses, and protects your personal data.
*Last updated: January 02, 2025*
Please read this Privacy Policy ("Policy") carefully before accessing or using our services. This Policy sets forth the legally binding terms regarding the collection, use, and protection of your personal data when using services provided by **Alendis**.
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Usage Data is collected automatically when using the Service.
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## 2. Information We Collect
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The Company allows You to create an account and log in to use the Service through the following Third-party Social Media Services:
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## 9. Children's Privacy
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## 10. Updates to This Policy
We may update this Privacy Policy from time to time. Any changes will be posted on this page, and the updated version will take effect upon posting.
## Contact Information
If you have any questions or concerns about this Privacy Policy, please contact us at: **Email**: [customersupport@alendis.is](mailto:customersupport@alendis.is)
title: Terms and Conditions
description: Please read these Terms and Conditions carefully before accessing or using our services.
Please read these Terms and Conditions ("Agreement") carefully before accessing or using our services. This Agreement sets forth the legally binding terms and conditions for your use of our services provided by Alendis.
## 1. Acceptance of Terms
**1.1** By accessing or using our services, you agree to be bound by this Agreement and all applicable laws and regulations. If you do not agree with any part of this Agreement, you must not use our services.
**1.2** Alendis also operates in accordance with our "[Alendis Code of Conduct for Customers and Stakeholders](/code-of-conduct)". This Code of Conduct represents our company's values and principles, especially with regard to interactions with riders, competition management, and other stakeholders. We encourage all users to understand and respect the spirit of these principles in all interactions related to our services.
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## 3. Account Registration
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## 4. Use of Services
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## 5. Ownership of Content and Restrictions
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## 6. Screen Recording
**6.1 Legality:** You acknowledge and understand that screen recording, under certain circumstances, may be subject to legal restrictions. It is your responsibility to ensure that you comply with all applicable laws and regulations regarding screen recording in your jurisdiction.
**6.2 Permissible Use:** While using our services, you may engage in screen recording for personal use or for internal business purposes, provided that such recording does not violate any applicable laws or infringe upon the rights of any third party.
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## Contact Information
Questions about the Terms of Service should be sent to us at [customersupport@alendis.is](mailto:customersupport@alendis.is).