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Description
The Holo2 model family from H Company offers a blend of affordability and high performance in vision-language models specifically designed for computer-based agents that can navigate, localize user interface elements, and function across web, desktop, and mobile platforms. This new series, which is available in sizes of 4 billion, 8 billion, and 30 billion parameters, builds upon the foundations laid by the earlier Holo1 and Holo1.5 models, ensuring strong grounding in user interfaces while making substantial improvements to navigation abilities. Utilizing a mixture-of-experts (MoE) architecture, the Holo2 models activate only the necessary parameters to maximize operational efficiency. These models have been trained on carefully curated datasets focused on localization and agent functionality, allowing them to seamlessly replace their predecessors. They provide support for effortless inference in environments compatible with Qwen3-VL models and can be easily incorporated into agentic workflows such as Surfer 2. In benchmark evaluations, the Holo2-30B-A3B model demonstrated impressive results, achieving 66.1% accuracy on the ScreenSpot-Pro test and 76.1% on the OSWorld-G benchmark, thereby establishing itself as the leader in the UI localization sector. Additionally, the advancements in the Holo2 models make them a compelling choice for developers looking to enhance the efficiency and performance of their applications.
Description
Surfer H, developed by H Company, is an innovative autonomous web-agent platform designed to seamlessly interpret and interact with user interfaces in a human-like manner by utilizing three distinct modular models: a policy model for task planning, a localizer model for visual identification of UI elements, and a validator model for outcome verification. This agent operates exclusively through the browser interface without relying on any specialized API connections, allowing it to perform actions such as scrolling, clicking, typing, and executing various real-world online tasks including hotel bookings, product comparison, and structured data extraction. When integrated with H Company’s open-weight vision-language models, Surfer H has demonstrated exceptional capabilities, achieving a remarkable 92.2% accuracy on the WebVoyager benchmark at a cost of approximately $0.13 per task, and can be deployed locally, through Docker, or on cloud platforms. Its versatile use cases encompass web automation, quality assurance testing that avoids fragile scripts, data collection, and the development of intelligent workflow agents that mimic human interactions with the web, thereby enhancing efficiency in digital tasks. Furthermore, the ability to adapt to a wide range of applications makes Surfer H an invaluable tool for businesses seeking to optimize their online operations.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon
No
Docker
No
Holo2
No
Hugging Face
No
NVIDIA NIM
No
Qwen2.5
No
Qwen3
Yes
Surfer H
Yes
Integrations
Amazon
Yes
Docker
Yes
Holo2
Yes
Hugging Face
Yes
NVIDIA NIM
Yes
Qwen2.5
Yes
Qwen3
No
Surfer H
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$0.13 per task
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
H Company
Founded
2023
Country
France
Website
www.hcompany.ai/blog/holo2
Vendor Details
Company Name
H Company
Founded
2023
Country
France
Website
www.hcompany.ai/surfer-h
