Context home windows of AI fashions, which point out the power of a mannequin to “remember” info, have elevated over time. Nevertheless, researchers have advised new methods to extend long-term reminiscence of AI fashions, as they typically can’t maintain context over a number of classes.
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 just a few 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 Know-how), 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 type 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 “memories” or insights from unstructured knowledge and helps the purposes 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 12 months, he determined to construct Supermemory full-time.
Supermemory, now described as a common reminiscence API for AI apps, builds a data graph based mostly on the info it processes, and personalizes the context for the customers. As an example, it may well help querying throughout month-old entries for a writing or a journaling app, or looking for an e-mail app. As the answer permits for multimodal inputs, it might additionally permit a video editor to fetch related property from a library for a specific immediate.
The startup can ingest any sort of information, the corporate says, together with recordsdata, docs, chats, initiatives, emails, PDFs, and app knowledge streams. Its chatbot and notetaker characteristic lets customers add recollections 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 a web site.
“Our core strength is to extract insights from any kind of unstructured data and give the apps more context about users. As we work across multimodal data, our solution is suitable for all kinds of AI apps ranging from email clients to video editors,” Shah stated.
Supermemory has secured seed funding of $2.6 million led by Susa Ventures, Browder Capital, and SF1.vc. The spherical additionally contains 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 stated at one level Y Combinator additionally approached him to affix one in every of its batches, however he already had traders on board, so the timing didn’t work out.
Joshua Browder, founder and CEO of “Robot lawyer” startup DoNotPay, who runs Browder Capital as a solo GP, was impressed by Shah’s tenacity.
“I connected with Dhravya over X, and what struck me was how quickly he moves and builds things, and that prompted me to invest in him,” he stated.
The corporate has a number of current prospects, 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 recollections captured by a robotic.
Whereas it is a slant towards shoppers, the app feels extra like a playground for builders to grasp extra concerning the instrument and probably use it of their workflows or their very own apps.
Supermemory has substantial rivals within the reminiscence area. 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 Reminiscences.ai together with Samsung, which may faucet into 1000’s of hours of footage to get insights. Shah says that whereas these startups may serve completely different industries and use circumstances, Supermemory will stand out as a result of it affords decrease latency.
“More and more AI companies will need a memory layer. Supermemory’s solution provides high performance while allowing you to surface relevant context quickly,” Browder stated.
