Compare Holo vs. Holo2

Holo is a comprehensive AI marketing solution designed to produce ten times more content at a speed that is 75% faster. By simply entering a website link, Holo quickly assimilates the brand's identity, understanding its tone, style, creative vision, audience challenges, and purchasing triggers, subsequently transforming that Brand DNA into a variety of marketing materials including ads, emails, social media posts, UGC-style videos, TikTok-content, stories, reels, and extensive promotional campaigns. Instead of juggling multiple tools, templates, and tabs, Holo offers a singular AI platform for marketers, creators, and founders that scales efficiently across essential content domains like videos, ads, social media, and emails. The user experience is straightforward: input the URL, scroll through innovative ideas, make edits and customizations without needing design expertise, and then download, publish, and evaluate the content. Additionally, Holo provides daily content inspiration, enabling users to populate a content calendar well in advance over several months, featuring various formats such as mythbusters, product highlights, comparisons, testimonials, best-seller lists, media pieces, negative hooks, FAQs, and before-and-after comparisons. This innovative tool not only streamlines the content creation process but also empowers users to engage their audiences effectively and creatively.

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.