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Jatter Launches Browser to Turn Digital Chaos into Private Personal Insights

  • Writer: Karan Bhatia
    Karan Bhatia
  • 1 day ago
  • 2 min read

Jatter, building privacy-first AI browser, led by Juan Soberanis, announced an AI browser that provides answers tailored to each user’s online activities.

 

Secure, Personalized Intelligence.


Jatter keeps user data secure, encrypted, and fully under the user's control. By accessing information from authenticated sources that traditional AI assistants and browsers cannot safely reach, the platform transforms large volumes of information into personalized, actionable insights tailored to each user.


Bringing AI to the Personal Web.


Modern digital life is spread across countless platforms, from banking and healthcare portals to travel services and education systems. Finding relevant information often requires navigating multiple websites, documents, and applications. Jatter aims to simplify that process by acting as an AI-powered browser that helps users surface information and insights across their digital lives on Mac, Windows, iOS, and Android.


Built on experience gained from Jatter’s AI mobile app, which has surpassed 700,000 downloads across more than 200 countries, the browser uses retrieval-augmented generation (RAG) to generate responses grounded in a user’s own data. With permission, it can access authenticated websites and learn from information encountered during browsing sessions to provide personalized, context-aware answers.


Security and privacy are central to the platform’s design. Data is encrypted on-device before synchronization and protected through end-to-end encryption, encryption in transit, and encryption at rest. User credentials and personal data are not stored, data is never used for model training, and all information remains inaccessible to Jatter’s servers under a strict zero-data-retention policy.


Key Features:


  • On-the-Go Learning – Jatter surfaces relevant questions, connections, and insights directly within the browsing experience, allowing users to interact with any webpage through natural language without switching between tools or applications.

  • Deep Integrations – Beyond authenticated websites, Jatter can learn from content stored in integrated Notes apps, helping generate more personalized recommendations, meeting follow-ups, research insights, and action plans based on a user's own information.

  • Local Intelligence – Through integration with mapping services, Jatter combines browsing activity, travel plans, favorite locations, and historical searches to deliver personalized travel recommendations and location-specific insights, supported by interactive map experiences.


According to founder and CEO Juan Soberanis, Jatter was created to simplify the often fragmented and complex experience of navigating the many digital platforms people rely on every day. The company believes that personalization remains a missing layer across much of the internet, particularly when interacting with portals, services, and information spread across multiple websites.


Jatter’s vision is to build a more context-aware form of personal AI that understands a user’s goals, preferences, and online activity. Rather than focusing solely on task automation, the platform aims to provide personalized assistance and insights that help users better navigate and interact with the digital services that shape their daily lives.

Menlo Times is a global media platform covering AI, Deeptech, Venture Capital, Fintech, Robotics, and Security through news, analysis, and insights from founders and operators.
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