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What is Microsoft Mesh?

Microsoft Mesh provides a platform for users to connect and interact in shared spaces from almost any location and device, harnessing the power of mixed reality applications. This innovative technology enhances interpersonal connections, enabling users to communicate through eye contact, facial expressions, and gestures, which allows their genuine selves to shine through as the technology itself becomes less noticeable. By integrating digital intelligence into the real world, users can visualize and collaborate on 3D content that remains consistent over time, promoting a shared understanding that ignites creativity and fortifies relationships. Mesh's adaptability means that it can be accessed across a range of devices, including HoloLens 2, virtual reality headsets, smartphones, tablets, and PCs, through compatible applications. Users can embody highly realistic, photorealistic avatars in mixed reality, facilitating interactions that evoke a sense of true presence. This fluid experience allows individuals to explore their environments while receiving critical digital insights exactly when and where they are needed, which significantly boosts the efficiency of decision-making and problem-solving processes. As individuals interact within this immersive setting, the possibilities for innovation and teamwork grow dramatically, paving the way for a future where collaboration knows no bounds. The dynamic nature of Microsoft Mesh not only enhances individual experiences but also revolutionizes how teams work together across distances.

What is Holo2?

The Holo2 model series from H Company strikes an excellent balance between cost-effectiveness and high performance in vision-language models tailored for computer-based agents capable of navigating, localizing interface elements, and operating across web, desktop, and mobile environments. This latest lineup, which features configurations of 4 billion, 8 billion, and 30 billion parameters, builds on the groundwork established by the previous Holo1 and Holo1.5 models, ensuring a solid foundation in user interface interaction while significantly enhancing navigation capabilities. By employing a mixture-of-experts (MoE) architecture, the Holo2 models selectively activate only the parameters essential for specific tasks, thereby optimizing operational efficiency. Trained on meticulously selected datasets centered on localization and agent functionality, these models are set to seamlessly succeed their predecessors. They also support smooth inference in environments that are compatible with Qwen3-VL models and can be effortlessly integrated into agentic workflows, such as Surfer 2. In performance tests, the Holo2-30B-A3B model achieved remarkable benchmarks, scoring 66.1% on the ScreenSpot-Pro evaluation and 76.1% on the OSWorld-G benchmark, firmly positioning itself as a frontrunner in the UI localization field. The technological advancements embedded in the Holo2 models not only enhance their capabilities but also make them an attractive option for developers aiming to boost the performance and efficiency of their applications. As the demand for sophisticated user interface solutions continues to grow, the Holo2 models stand ready to meet the diverse needs of the market.

Media

Media

Integrations Supported

Microsoft Azure
Microsoft Teams

Integrations Supported

Qwen3
Surfer H

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com/en-us/mesh

Company Facts

Organization Name

H Company

Date Founded

2023

Company Location

France

Company Website

www.hcompany.ai/blog/holo2

Categories and Features

Augmented Reality

Not specified

Collaboration

Not specified

Remote Work

Not specified

Virtual Reality

Not specified

VR Collaboration

Not specified

Categories and Features

AI Models

Not specified

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