After not getting into IIT, most would probably prepare themselves for an ordinary start of their educational journey. But for Dhravya Shah? It was the first step to set up an AI platform that recently successfully raised $3 million. Supermemory helps machines to understand, remember and process data across long-term interactions. The founder best explains it:

“It’s 2025. Model providers are racing to build AGI, a model that is on par, or better than humans in every task. Here’s a list of things that such a superintelligence would need:
– PHD level intelligence in every field.
– Ability to do things (Tools).
– Memory and adaptation to things that happen around it.
This can be thought of a three-dimensional graph. While there’s good progress in 1 and 2, there’s very little being done in the third one. It’s increasingly obvious that the final big hill to climb to make intelligence truly feel human, the next exciting inflection point in AI, is memory and personalization.

That’s exactly the problem we’re solving at Supermemory – self-learning context about things (users, tasks, teams, etc.). Supermemory serves as a universal memory layer that enables developers and users to add memory to their own large language models. No matter what the task.

The layer that solves this problem has to be independent of the model provider. This is because memory is stateful – switching between providers would not only mean a lot of work for developers and users, but also would need support from these providers themselves.

If Google releases the next best model this week, but you’re stuck to OpenAI because their API has memory – you would be locked into using what you are. Memory should be a universal right, not a moat. Therefore, a layer that handles memory must exist. Supermemory acts as this independent layer. 

I believe developers shouldn’t have to reinvent the wheel to give their users better experiences with memory. And yes. The experience is better. Almost all of our early customers saw increase in app usage, customer delight, or revenue, by making their experience more personalized for the user.

Users should not be locked into a chatbot because it knows everything about them. Because all chatbots can know everything about them. All of them work with Supermemory.
Intelligence without memory is nothing but sophisticated randomness. We add memory to the intelligence. One day, when AGI is a thing and robots are walking around everywhere, they would need a memory as sophisticated as their intelligence. And it would be Supermemory.”

Secure, Fast, and Universal Memory Infrastructure

The vision of the company is to build a ‘memory engine’ for the world. Redundant storage, graph-based indexing, and sub-300 ms recall ensures that the data stays fast, secure, and fully compliant. All data is encrypted in transit and at rest, with fine-grained access controls built in.

Data can be provided by the user from documents, chats, or emails. Further, it can also be connected with Google Drive, OneDrive, or Notion. The technology is already being adopted by AI startups and robotics firms looking to give machines human-like recall.

Also read: Inside Floweraura’s Bloom into a ₹100 Cr Gifting Giant