Context home windows of AI fashions, which point out the power of a mannequin to “bear in mind” info, have elevated over time. Nonetheless, researchers have instructed new methods to extend long-term reminiscence of AI fashions, as they usually can’t maintain context over a number of periods.
Nineteen-year-old founder Dhravya Shah is trying to unravel issues on this space by constructing a reminiscence answer, known as Supermemory, for AI apps.
Initially from Mumbai in India, Shah began constructing consumer-facing bots and apps a couple of years in the past. He even offered his bot that formatted tweets into handsome screenshots to the social media instrument Hypefury.
The founder, who was making ready for an entrance examination to get into IIT (Indian Institute of Expertise), earned good cash from this sale and determined to maneuver to the U.S. to attend Arizona State College as an alternative.
After relocating, he challenged himself to construct one thing new every week for 40 weeks. Throughout a kind of weeks, he constructed Supermemory (which was initially known as Any Context) and put it on GitHub. At the moment, the instrument allowed you to talk along with your Twitter bookmarks.
The present model of the instrument extracts “reminiscences” or insights from unstructured knowledge and helps the functions perceive the context higher.
Shah secured an internship at Cloudflare in 2024, the place he labored on AI and infrastructure. He later labored as a developer relations lead on the firm. Throughout this time, advisors, together with Cloudflare CTO Dane Knecht, requested him to show Supermemory right into a product.
This yr, he determined to construct Supermemory full-time.
Supermemory, now described as a common reminiscence API for AI apps, builds a information graph primarily based on the info it processes, and personalizes the context for the customers. For example, it might probably help querying throughout month-old entries for a writing or a journaling app, or trying to find an e mail app. As the answer permits for multimodal inputs, it might additionally permit a video editor to fetch related belongings from a library for a specific immediate.
The startup can ingest any sort of knowledge, the corporate says, together with recordsdata, docs, chats, initiatives, emails, PDFs, and app knowledge streams. Its chatbot and notetaker characteristic lets customers add reminiscences in textual content, add recordsdata or hyperlinks, and connect with apps like Google Drive, OneDrive, or Notion. There’s additionally a Chrome extension that allows you to simply add notes from an internet site.
“Our core energy is to extract insights from any form of unstructured knowledge and provides the apps extra context about customers. As we work throughout multimodal knowledge, our answer is appropriate for all types of AI apps starting from e mail shoppers to video editors,” Shah mentioned.
Supermemory has secured seed funding of $2.6 million led by Susa Ventures, Browder Capital, and SF1.vc. The spherical additionally consists of particular person traders like Cloudflare’s Knecht, Google AI chief Jeff Dean, DeepMind product supervisor Logan Kilpatrick, Sentry founder David Cramer, and executives from OpenAI, Meta, and Google.
Shah mentioned at one level Y Combinator additionally approached him to affix considered one of its batches, however he already had traders on board, so the timing didn’t work out.
Joshua Browder, founder and CEO of “Robotic lawyer” startup DoNotPay, who runs Browder Capital as a solo GP, was impressed by Shah’s tenacity.
“I related with Dhravya over X, and what struck me was how rapidly he strikes and builds issues, and that prompted me to spend money on him,” he mentioned.
The corporate has a number of current clients, together with a16z-backed desktop assistant Cluely, AI video editor Montra, AI search Scira, Composio’s multi-MCP instrument Rube, and actual property startup Rets. Plus, it’s working with a robotics firm to retain visible reminiscences captured by a robotic.
Whereas this can be a slant towards shoppers, the app feels extra like a playground for builders to know extra concerning the instrument and doubtlessly use it of their workflows or their very own apps.
Supermemory has substantial opponents within the reminiscence house. Startups like Felicis Ventures-backed Letta and Mem0 (the place Shah labored for a short time) are constructing a reminiscence layer for brokers. Supermemory’s personal backer, Susa Ventures, has invested in Recollections.ai together with Samsung, which may faucet into hundreds of hours of footage to get insights. Shah says that whereas these startups would possibly serve completely different industries and use instances, Supermemory will stand out as a result of it provides decrease latency.
“Increasingly AI corporations will want a reminiscence layer. Supermemory’s answer gives excessive efficiency whereas permitting you to floor related context rapidly,” Browder mentioned.
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