Morphik

Open-source multimodal search for AI apps

Y CombinatorSpring 2025ActiveB2BInfrastructureArtificial IntelligenceDeveloper ToolsOpen SourceSearch

What they do

Problem

AI applications need an effective way to search and retrieve information across multimodal data sources like documents and research papers.

Solution

Morphik provides an open-source multimodal search engine for building AI apps that can index and search across different content types.

Who it's for

Space-tech teams and developers building AI agents and applications that require multimodal search.

Founders

Adityavardhan Agrawal

Founder

Building Morphik. Prev @MongoDB, worked on scalable database algorithms. Graduated Cornell University in 2022.

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Arnav Agrawal

Founder

I was one of 3 students in all of India to receive the Tata Scholarship, which allowed me to study Computer Science at Cornell. I dropped out to build Morphik after experiencing terrible RAG and enterprise search first-hand during my co-op at Amazon Robotics. While there, I developed a configuration compiler that sped-up deployment of the Sparrow and Cardinal stations to new locations. I also developed and taught a course in ML Operations and AI as an undergrad at Cornell.

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