In high-stakes industries like defence, law enforcement, aviation, and emergency response, effectively training professionals comes with an eye-watering price tag. You’re looking at over $US500,000 to train a single Special Forces soldier and around $US150,000 to prepare a Police Officer. Despite these investments, many organisations are still relying on inefficient, outdated VR training tools including handheld controllers .

When people talk about “immersive technology,” they usually mean what they can see and hear. And to be fair, we’ve made huge progress there with lighter headsets, sharper displays and advancements in spatial audio.  But ask anyone who’s tried to use their hands in VR and you’ll quickly find out what’s missing. Real interaction doesn’t happen through cameras or buttons. It happens with your hands. 

StretchSense, a pioneer in motion intelligence, is redefining XR training with the launch of the Reality XR Glove—a groundbreaking innovation that delivers natural, seamless interaction in virtual environments.

Imagine learning to perform a high-stakes task—like piloting a plane, performing surgery, or handling hazardous materials—in an environment where mistakes don’t have real-world consequences. That’s the promise of Virtual Reality training.

OptiTrack stages can now stream clean, lifelike hand data directly into Motive 3.0. With pure and natural hand data instantly combined with body data, mocap and animation teams can move quickly, saving time in post-production.

Camera-based hand tracking is gaining traction as a more natural way to interact with virtual environments. But like all new tech, it’s not perfect.

What’s holding VR training back? It’s not the visuals or the hardware. The real challenge lies in how users interact with the virtual environment. And the culprit? Controllers.

Introducing Hand Engine 3. Say goodbye to paddle hands by using Pro Fidelity gloves for hero characters alongside Pro Studio gloves for background characters. Less tedious keyframing and no more copy and paste.

Unleash unparalleled performance and precision in your animations and streams with the StretchSense Studio Line gloves.

Until now, only top motion capture studios could afford high-quality hand capture, leaving others limited by the price. StretchSense welcomes you to the new era of motion capture.

Experience StretchSense's MoCap Pro Fidelity gloves with an exciting price change - perpetual license, updates, and premium support included.

Leadership team grows with the appointment of Chris Simard the new CRO allowing StretchSense to further expand its customer base.

Challenges faced by sensor and measurement technology, such as drift and occlusion can now be overcomed by deskcap.

Deskcap and traditional mocap are two methods for recording a performer's movement and digitizing it, with both working best in harmony.

Desk capture ("Deskcap") is a form of motion capture which focuses entirely upon the hands, with the ability to be done from your desk.

We’re also delighted that New Zealand’s largest newspaper, the New Zealand Herald, has covered our recent NZD $13 million capital raise with investment partners Par Equity and Global from Day One.

The Scotsman interviewed StretchSense CEO Ben O'Brien about the company opening of a centre of excellence in Edinburgh, Scotland and the company's future growth.

Hand Engine 2.2 includes a several changes to improve your remapping experience. Most importantly, you can re-use remapping profiles you’ve created in the past to speed up the process of creating new profiles.

TechCrunch's Rebecca Bellan interviewed StretchSense CEO Ben O'Brien about how StretchSense have made a high fidelity motion capture glove that's actually comfortable to wear

Last month, I had the chance to attend CSS Day in Amsterdam, a two day event split between a “UI day” focusing on the intersection of design and development and a “CSS day”, with speakers who covered more in-depth, technical CSS subjects. The talks were as diverse as the background of the speakers themselves, but there was one common thread: In this era of rapid change, are we, as product people, equipped to design for automation, machine learning, and AI?

Last month, I had the chance to attend CSS Day in Amsterdam, a two day event split between a “UI day” focusing on the intersection of design and development and a “CSS day”, with speakers who covered more in-depth, technical CSS subjects. The talks were as diverse as the background of the speakers themselves, but there was one common thread: In this era of rapid change, are we, as product people, equipped to design for automation, machine learning, and AI?

Last month, I had the chance to attend CSS Day in Amsterdam, a two day event split between a “UI day” focusing on the intersection of design and development and a “CSS day”, with speakers who covered more in-depth, technical CSS subjects. The talks were as diverse as the background of the speakers themselves, but there was one common thread: In this era of rapid change, are we, as product people, equipped to design for automation, machine learning, and AI?

Last month, I had the chance to attend CSS Day in Amsterdam, a two day event split between a “UI day” focusing on the intersection of design and development and a “CSS day”, with speakers who covered more in-depth, technical CSS subjects. The talks were as diverse as the background of the speakers themselves, but there was one common thread: In this era of rapid change, are we, as product people, equipped to design for automation, machine learning, and AI?