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Highfield AI
CEO Amir Hochfeld
YEAR FOUNDED 2024
COUNTRY United Kingdom
hat is the company’s origin story? Highfield AI started with a
holding the entire industry back. Highfield AI is a solution built to eliminate barriers by automating the labour-intensive processes that cost time and limit agility. What is it working on right now? The company is working on an AI solution – Highfield AI – that improves professional broadcast graphics workflow efficiency
by up to 75%. Highfield AI is an agentic and multimodal solution that automates repetitive tasks throughout the graphics workflow. It analyses stories, as written by journalists in their newsroom computer system, such as CGI Open Media and Avid’s iNews. A set of AI agents automate tasks usually done by operators; like selecting the most suitable graphics templates created using systems such as Vizrt and filling them with relevant content, including text, images and video clips from broadcasters’ content repositories. These agents can collaborate autonomously to assemble story graphics, learning from past decisions to improve efficiency and accuracy. While the system operates autonomously, journalists will maintain complete control over the final product, which safeguards the editorial integrity and quality. The result is a significant return on existing investments, as well as a quicker way to achieve high- quality productions. What are the next steps? The company’s next big step is to actually deliver the Highfield AI solution by June 2025. Highfield AI is seeking strategic partners to help with scaling up and accelerating the company’s growth in the future. It’s looking for partners who will share its vision for the media business and view this kind of AI implementation as the massive opportunity that it is, rather than as a threat to the industry. What one thing does the company need most?
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simple idea: how do you apply AI to broadcast workflows in a practical way that solves real challenges? With over 100 years of combined experience in media, graphics and AI, it has lived through these challenges first-hand. Repetitive manual tasks such as searching for the perfect images, drafting titles and dredging through endless revisions in order to populate graphics templates have long plagued broadcasters. These faults waste countless hours and strain resources, leaving less time for journalists or producers to focus on creativity and storytelling. Plus, broadcasters love vendors who can extend the life and value of what they already own. Newsrooms are a complex patchwork of legacy and modern tools – so success requires out-of-the-box integration with existing tools. The impact is far-reaching; teams bogged down in manual processes struggle to scale and adapt quickly enough to meet the relentless demands of today’s audiences. Deadlines are narrowing, yet expectations for stunning visuals and engaging stories are only growing. Quality is suffering as broadcasters are forced to stretch smaller teams and budgets further amid decreasing ad revenues and fragmented audiences. Initially, the aim was to alleviate frustrations the company knew all too well. But as the platform took shape, it saw potential on a larger scale. These inefficiencies weren’t just frustrations for individual teams; they were systemic barriers
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