Breathe’s award-winning HR software helps over 13,000 SMEs to streamline their everyday people-tasks and covers everything from holiday, sickness & document management to expenses, rotas and performance.
The software is GDPR-compliant & ISO27001-accredited, offering the highest level of data security. The system is also 100% cloud-based, making it easy to access from anywhere.
Breathe have been part of the ELMO Software group since 2020.
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Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands.
At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world.
You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work.
LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.
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Mocap Fusion
Mocap Fusion [VR] serves as an engaging room-scale motion capture sandbox tailored for artists and animators eager to generate and export motion capture animations or produce live content using standard VR equipment. Users can initiate mocap on their personalized avatars with just one VR headset and two controllers. For those with advanced skills, it’s possible to achieve more intricate motion capture, encompassing full-body tracking, which can be enhanced by integrating additional sensors such as the Apple iPhone TrueDepth sensor or the Oculus Quest 2’s optical finger tracking. This integration allows for the layering of various motion capture elements in a single performance, including full-body tracking, facial capture, lip synchronization, gaze tracking, and finger movements. The overall experience can differ based on the specifications of the user's computer and the tracking devices employed. It’s advisable to utilize recommended SteamVR headsets like the Valve Index or HTC Vive for optimal performance, although a Quest headset can still yield satisfactory results. As users explore the potential of Mocap Fusion, they can unlock new creative possibilities in animation and interactive content creation.
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Xsens
Xsens provides reliable motion capture and analysis systems tailored for a diverse range of users. For additional insights into motion capture, visit this page. Their motion analysis technology encompasses comprehensive 3D kinematics solutions and 3D motion trackers designed for seamless integration into real-time applications. Motion Capture, commonly known as mo-cap or mocap, involves digitally recording human movements. This technology finds applications across various fields including entertainment, athletics, healthcare, ergonomics, and robotics. In the context of filmmaking and video game production, it pertains to capturing the actions of actors to create animations or enhance visual effects. A notable film that extensively utilized motion capture techniques is Avatar. When the process encompasses the entire body, facial expressions, and even finger movements, it is often termed performance capture. Xsens offers motion capture through two distinct hardware options: the MVN Link suit and the MVN Awinda straps, each featuring unique attributes that cater to different needs. By leveraging these advanced systems, users can achieve remarkable precision in their motion analysis endeavors.
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