In the news release, Higgsfield Launches Similarity-Scoring Tool for Responsible AI Use in Media and Entertainment, issued 13-Mar-2026 by Higgsfield over PR Newswire, we are advised by the company that the photo of the release need to be updated, as originally issued inadvertently. The complete release with the updated photo follows:
Higgsfield Launches Similarity-Scoring Tool for Responsible AI Use in Media and Entertainment
As the generative AI industry matures, Higgsfield is taking an important step towards equipping creators and studios with a new tool designed to help assess potential similarity with characters, celebrity likeness, and brands.
SAN FRANCISCO, March 14, 2026 /PRNewswire/ -- Higgsfield, the AI-native video and image platform for professional creators, announced the launch of a similarity-scoring feature for Team Plan customers. The tool evaluates AI-generated content and flags potential visual similarities to celebrity likenesses, characters, brand logos, and other potential intellectual property.
The feature arrives as Higgsfield's platform scales rapidly into commercial production. The company has doubled its user base in under two months, surpassing 20 million users, with a growing share of usage now coming from production teams running commercial campaigns. As AI-generated content moves deeper into professional workflows and elite festivals, creators and teams are increasingly expected to consider similarity, likeness, and whether a generated asset may resemble something protected.
Despite this rapid mainstream adoption, the lack of standardized safeguards remains a bottleneck for wider commercial use. Recognizing this industry-wide challenge, Higgsfield is introducing new features that empower users to make safer choices when using AI generated assets.
The new tool evaluates generated content and assigns it a similarity score to help users identify potential conflicts. Going beyond basic detection, Higgsfield's system is designed to be more nuanced than existing market solutions. The feature evaluates content to known properties, including:
- Characters from popular movies, TV, and video games (e.g., Harry Potter, Spider-Man).
- Likeness of public figures, including stylistic alterations (e.g., a celebrity rendered in unusual forms or wearing obscuring props).
- Brand logos and text assets, such as trademarked taglines.
- Famous artworks and distinct visual concepts.
- Cinematic signatures, such as distinct visual styles associated with specific directors or films (e.g., Wes Anderson, Denis Villeneuve, Alfred Hitchcock).
- Audio content, such as music and other audio content incorporated into video output.
To validate the system's efficacy, the Higgsfield Research Team conducted internal benchmark studies across diverse datasets of AI-generated and reference media. In video detection, Higgsfield's model achieved an 86.6% overall accuracy rate. Higgsfield also significantly reduced false positive rates, flagging incorrect similarities in video only 13.4% of the time.
When a potential similarity is detected, the tool identifies the nature of the similarity, the possible rights holder, and exactly where the similarity occurs in the video. Building on this initiative, Higgsfield has also launched an image model "Soul Cast", which limits image reference uploads, reducing the risk of generating someone else's likeness.
"Generative video is still a new frontier and studios, platforms, and policy experts are all still navigating the complexities of IP and likeness," said Higgsfield CEO Alex Mashrabov. "By activating our content-scoring feature, we give creators a practical way to understand their outputs before final production. We believe that proactive similarity tools like this will soon become standard across the entire generative AI ecosystem."
Higgsfield's initiative reflects a broader company commitment to the ethical and responsible commercialization of AI. For example, the company recently launched the Higgsfield Action Contest with a $500,000 prize pool, accepting nearly 8,800 submissions from all over the world. Content safety is integral to the review process along with originality and storytelling as part of the company's broader approach to building responsibly in this emerging space.
By building tools that empower human creativity while respecting intellectual property, Higgsfield aims to encourage the responsible use of AI technologies.
For more information about Higgsfield's new content-scoring feature, visit https://higgsfield.ai/app/similarity-score.
About Higgsfield
Higgsfield is an AI-native generative video platform built for professional creators, brands, agencies, and marketing teams producing high-fidelity videos at scale. The company develops its own generative video and image models and integrates leading third-party models such as OpenAI's Sora, Google's Veo and Nano Banana, Alibaba's WAN, Kuaishou's Kling, Bytedance's Seedream and Seedance, MiniMax, and others into a single, production-ready workflow, allowing teams to select the best model for each creative task without rebuilding pipelines.
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Higgsfield Launches Similarity-Scoring Tool for Responsible AI Use in Media and Entertainment
Higgsfield Launches Similarity-Scoring Tool for Responsible AI Use in Media and Entertainment
NEW YORK, Aug. 4, 2026 /PRNewswire/ -- Sharon AI Holdings Inc. (NASDAQ: SHAZ) and its subsidiaries ("Sharon AI" or the "Company"), a leading Australian Neocloud, today announced that it has entered into a five-year cloud computing service agreement with a global artificial intelligence ("AI") platform. The agreement has a total contract value of US$373 million over its five-year term.
Under the agreement, Sharon AI expects to deploy cloud computing solutions across its AI infrastructure in Australia. The Company expects revenue under the agreement to commence during the first quarter of 2027.
Following execution of this agreement, Sharon AI's total AI Factory capacity remains at 132 megawatts (MW) but has now contracted a total of 120MW to end customers. The Company will upgrade from 62,000 to 64,000 NVIDIA GPUs across its AI Factory platform by mid-2027.
The initial deployment under this agreement is expected to utilize 2,048 NVIDIA Blackwell Ultra B300 GPUs. Additional deployments may occur over the term of the agreement in accordance with customer requirements and the terms of the contract.
The agreement further supports Australia's ambition to become a leading destination for AI infrastructure investment in the Asia-Pacific region. By deploying advanced AI compute capacity within Australia, Sharon AI is helping to expand the nation's sovereign AI capability, enabling global AI platforms to access high-performance infrastructure while supporting the development of a broader domestic AI ecosystem.
As demand for AI infrastructure continues to accelerate, long-term customer commitments such as this contribute to investment in Australian digital infrastructure, strengthen the country's position as a regional AI hub and create opportunities for Australian businesses, researchers and government organizations to access world-class AI compute closer to where it is needed.
James Manning, Co-founder and Chief Executive Officer of Sharon AI, said:
"This agreement represents an important milestone in the continued expansion of Sharon AI's customer base and contracted AI infrastructure capacity. As organizations increasingly seek access to sovereign, high-performance AI compute, we remain focused on delivering scalable infrastructure that supports the evolving needs of AI platforms, enterprises and governments.
"We continue to see strong demand for AI infrastructure in Australia and across the Asia-Pacific region, and this agreement reflects our strategy of securing long-term customer commitments as we expand our AI Factory platform."
About Sharon AI
Sharon AI (NASDAQ: SHAZ) is a leading Australian neocloud expanding access to artificial intelligence through trusted, secure and sovereign AI infrastructure. Through its AI Factory platform and colocation partners, Sharon AI enables organizations across Australia, New Zealand, and globally to confidently build, train and deploy AI at scale. For more information, visit www.sharonai.com.
Disclosure Information
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Forward-Looking Statements
This press release may contain, and our officers and representatives may from time to time make, "forward-looking statements" within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995, which are not historical facts, and which are not assurances of future performance. Forward-looking statements are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. In some cases you can identify these statements by forward-looking words such as "believe," "may," "will," "estimate," "continue," "anticipate," "intend," "could," "should," "would," "project," "strategy," "plan," "expect," "goal," "seek," "future," "likely" or the negative or plural of these words or similar expressions or references to future periods. Forward-looking statements in this release include specific statements regarding the intended use of proceeds. Examples of such forward-looking statements include but are not limited to express or implied statements regarding Sharon AI's management team's expectations, hopes, beliefs, intentions or strategies regarding the future including, without limitation, statements regarding:
- Service and product offerings;
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- The deployment of assets and expansion of network procurement;
- Sharon AI's ability to engage with additional potential customers;
- Expansion of Sharon AI's data center footprint and capacity; and
- The strengthening of Sharon AI's partner network.
In addition, any statements that refer to projections, forecasts or other characterizations of future events or circumstances, including any underlying assumptions, are forward-looking statements. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. You are cautioned that such statements are not guarantees of future performance and that actual results or developments may differ materially from those set forth in these forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause actual results to differ materially from these forward-looking statements include, among others, all of the risks described in the "Risk Factors" section of the Company's most recent Annual Report on Form 10-K filed with the SEC and other reports subsequently filed with the SEC. Additional assumptions, risks and uncertainties are described in detail in our registration statements, reports and other filings with the SEC, which are available at www.sec.gov.
The forward-looking statements and other information contained in this news release are made as of the date hereof and Sharon AI does not undertake any obligation to update publicly or revise any forward-looking statements or information, whether as a result of new information, future events or otherwise, unless so required by applicable securities laws.
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Sharon AI Announces US$373m Five-Year AI Cloud Service Agreement
