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When AI Never Forgets: Supermemory Aims to Give Machines Long-Term Recall

A young India-born tech entrepreneur is making waves in the AI world. Dhravya Shah, just 19 years old, has raised $2.6–3 million in seed funding for his startup Supermemory, which […]

A young India-born tech entrepreneur is making waves in the AI world. Dhravya Shah, just 19 years old, has raised $2.6–3 million in seed funding for his startup Supermemory, which promises to tackle one of the biggest limitations in current artificial intelligence: long-term memory.

🔧 What Is Supermemory?

Supermemory is an AI infrastructure platform intended to act as a memory layer for large language models (LLMs) and other AI agents. Whereas many AI applications struggle to retain context over long sessions, Supermemory allows apps to remember and recall user-specific information across time — whether from chats, emails, documents, PDFs, or other unstructured data. I

Originally built as a consumer-facing note/bookmark app called AnyContext, the vision evolved into something more ambitious — a universal memory API that integrates across tools and platforms to enable meaningful, contextual recall.

🤝 Funding & Backing

Supermemory’s early promise has caught the eye of several high-profile investors. Leading the seed round are Susa Ventures, Browder Capital, and SF1.vc. Notable angel investors include Jeff Dean of Google AI, Logan Kilpatrick from DeepMind, Dane Knecht (CTO, Cloudflare), and others from OpenAI, Meta, and Google.

🚀 Why It Matters

  • Enhanced User Experience: With better memory, AI agents can deliver more consistent, personalized interactions. For example, remembering past preferences, ongoing projects, or older conversations improves usability.
  • Efficiency Gains: Developers won’t need to repeatedly feed the same information into models or rebuild context windows for each session, potentially saving compute, time, and improving performance.
  • Applications Across Fields: From writing tools, video editors, and chatbot assistants to robots that require visual memory or apps that integrate many data types — the memory layer opens up many possibilities.

From IIT Aspirant to Startup Founder

Dhravya Shah’s journey is part of what makes this story compelling. Once preparing for India’s toughest engineering entrance exams (IIT), Shah switched course, moved to the U.S. to study, and turned his early experiments (note-apps, bookmarking tools) into a full-fledged AI infrastructure platform. He holds an O-1 visa in the U.S. for extraordinary ability, which underscores the recognition of his achievements.


🔭 What’s Next

Supermemory is currently integrating multimodal data sources, refining its memory module APIs, and building out higher performance and lower-latency features. With strong backing, the startup aims to become a core part of how future AI systems manage and recall long-term information.

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