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Medal Unveils Highlight – a Revolutionary AI Assistant Platform, Raises $13Million at $333Million Valuation

Highlight by Medal offers developers an improved way to build custom solutions on top of existing AI models, while providing users access to a larger ecosystem of AI features

Medal, the innovative AI company behind the popular MedalTV clipping app, today announced the launch of Highlight, its groundbreaking AI assistant platform designed to fundamentally alter how users interact with popular AI models. Medal also announced a $13 million funding round from Horizons Ventures, OMERS Ventures, peak6, and Arcadia Investments, valuing the company at $333 million post-money.

Founded by the team that created MedalTV, which boasts over 1 million daily active users, Highlight is positioning itself as the next evolution in operating systems. The company’s new platform, described as a “capture-based interface and runtime for assistants,” aims to make AI accessible to billions of users by eliminating the need for complex prompting.

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Key features of Highlight’s platform include:

  • Seamless integration with Windows and MacOS
  • Ability to publish web apps as natively running assistants in under a minute
  • Contextual capture technology for enhanced AI interactions
  • Streamlined cross-platform desktop app development

“Capture is the next OS,” said Pim de Witte, CEO and co-founder of Highlight. “We’re removing barriers between users and AI, making it as simple as clicking a button or asking a question. Our vision is to become the routing layer for all tasks on the OS, connecting users with assistants, models, interfaces, and even other people.”

The company’s impressive team includes Medal co-founders Pim de Witte and Josh Lipson, along with other top industry talent. With its latest funding, Highlight plans to accelerate development and expand its user base, aiming to become the fastest-growing AI assistant on desktop within a year.

Highlight’s innovative approach to AI accessibility and its strong foundation in the consumer space position it as a potential game-changer in the evolving landscape of human-computer interaction.

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How it works

Highlight is built on Medal’s industry-leading screen capture and process detection layer technology, which is currently used by more than four million gamers per month. Available for Windows and Mac, Highlight continuously captures — but doesn’t store — what’s on a computer screen locally and allows individuals to choose from various AI apps including ChatGPT, Perplexity, Claude, and others to meet specific needs—becoming a robust, native AI assistant on the desktop, while prioritizing user privacy through opt-in requirements.

Along with the launch, Highlight is rolling out its own custom-built, open APIs that provide AI solutions for a variety of tasks—including meeting transcriptions and the identification of action items in all of a user’s online interactions. Additional custom Highlight apps will be launched in the near future.

Also Read: AMD to Acquire Silo AI to Expand Enterprise AI Solutions Globally

Creating an open-ecosystem for developers while maintaining privacy for consumers

Capture technology is set to become the operating system of the future. However, if developments continue on their current course, this capture technology layer will be controlled by Big Tech, who are notoriously tightly guarded about AI developments and the data they use to train their LLMs. Big Tech seeks to lock users in a walled-garden and retain their data for their own purposes.

Because Highlight is platform agnostic, it democratizes the AI model landscape and encourages consumers to use more than just ChatGPT or Microsoft Copilot—helping promote market competition. Through Highlight’s APIs, developers will be able to build native, context-aware assistants and create custom models that learn—offering a less-monopolizing approach than current competitors.

Unlike competitors who utilize your data to improve a model, privacy is at the forefront of Highlight’s approach. Highlight operates on a local model. If parameters are small enough, they run on an individual’s device without touching the internet, thereby protecting the user’s data. Highlight also gives users and developers maximum control of their data, allowing them to choose where to send their data. Nothing leaves a user’s screen unless permission is granted.

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[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

 

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