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At 19, This Young Man Dropped Out of College and Raised $2.6M to Boost AI Memory, Attracting Attention from Executives at OpenAI and Google

Written by Geovane Souza
Published on 10/10/2025 at 14:55
Com 19 anos esse jovem abandonou a faculdade e arrecadou US$ 2,6 mi para turbinar memória da IA e chama atenção de executivos da OpenAI e Google
Dhravya Shah, nascido em Mumbai, captou US$ 2,6 milhões para acelerar a plataforma que promete dar memória persistente nas IAs. / (Foto: Dhravya.Dev)
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Dhravya Shah, 19, Raised A Seed Round For Supermemory, A Long-Term Memory API For AI Apps. Startup Already Has First Clients And Support From Big Tech Names.

The Supermemory aims to solve a problem that hinders the adoption of intelligent agents: AI that “forgets” between sessions. Founder Dhravya Shah, born in Mumbai, raised US$ 2.6 million to accelerate the platform that promises to provide persistent, fast, and contextual memory to products with language models. On October 6, 2025, TechCrunch detailed the funding round and the young man’s journey, now based in San Francisco.

Shah created bots and apps for consumers, sold a utility that transformed tweets into screenshots for Hypefury, and decided to swap the entrance exam for IIT for Arizona State University. There, he challenged himself to build something new every week for 40 weeks; from one of those projects was born the embryo of Supermemory, initially Any Context, which allowed conversations with Twitter bookmarks.

In 2024, the founder interned at Cloudflare in AI and infrastructure and later served as a developer relations lead. Advisors like Dane Knecht (CTO of Cloudflare) encouraged him to turn the project into a product. In 2025, Shah dedicated himself fully to the startup.

At 19, this young man dropped out of college and raised US$ 2.6M to boost AI memory
Photo: India Today

The proposal interests those who build assistants, email, video editors, CRMs, and search tools. Supermemory promises multimodal ingestion and low latency querying over months of history.

How Supermemory Works And Why It Matters For AI

Supermemory defines itself as a “universal memory API”. The company describes a pipeline that ingests data (files, documents, chats, emails, PDFs, and app streams), generates embeddings, enriches with knowledge graph, and indexes for sub-300 ms recall via semantic search and keyword search. Connectors for Google Drive, OneDrive, and Notion facilitate synchronization.

According to the startup, the goal is for agents and applications to “remember” preferences and facts over the long term, maintaining context between sessions. This allows, for example, searching for old notes in writing/journal apps, locating relevant emails for a task, or bringing clips from a user’s on-demand video library.

The company also claims superior performance compared to alternatives, with “up to 10× faster than Zep and 25× than Mem0” and lower costs. These are claims from Supermemory itself, which the market will follow as more independent benchmarks emerge.

For corporate audiences, the promise includes SOC 2, encryption in transit and at rest, and options for cloud, hybrid, or on-premises deployment.

Seed Round, Who Invested And Who Is Already Using It

The US$ 2.6 million seed round was led by Susa Ventures, Browder Capital, and SF1.vc. Angels include Jeff Dean (Google AI), Logan Kilpatrick (DeepMind), Dane Knecht (Cloudflare), David Cramer (Sentry), and executives from OpenAI, Meta, and Google. Joshua Browder (DoNotPay), who leads Browder Capital, cited the founder’s execution speed as a differentiator.

Among the first clients, TechCrunch lists the desktop assistant Cluely (backed by a16z), the video editor Montra, the search tool Scira, the multi-MCP Rube (from Composio), and the real estate startup Rets. The company also collaborates with a robotics company to store visual memories captured by robots.

For context, Susa Ventures also invested in Memories.ai, which raised US$ 8 million for visual memory with support from Samsung Next, reinforcing investor interest in the “external brain” of AI apps.

In the short term, Supermemory seeks to establish itself as a plug-and-play memory layer for LLMs and agents, targeting developers and B2B products that depend on persistent context.

Do you think that persistent memory in AI improves service or raises privacy risks? Would you allow emails, documents, and video clips to feed an agent that “never forgets”? Comment if you would use Supermemory or prefer on-prem and open-source solutions.

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Geovane Souza

Especialista em criação de conteúdo para internet, SEO e marketing digital, com atuação focada em crescimento orgânico, performance editorial e estratégias de distribuição. No CPG, cobre temas como empregos, economia, vagas home office, cursos e qualificação profissional, tecnologia, entre outros, sempre com linguagem clara e orientação prática para o leitor. Universitário de Sistemas de Informação no IFBA – Campus Vitória da Conquista. Se você tiver alguma dúvida, quiser corrigir uma informação ou sugerir pauta relacionada aos temas tratados no site, entre em contato pelo e-mail: gspublikar@gmail.com. Importante: não recebemos currículos.

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