Language is the new API to data
Finding the right information in a trove of text data is an ever-increasing problem.
We believe natural language is the most flexible and powerful way to interact with data and applications.
A tectonic transformation of search is happening, thanks to a collaborative effort of an open ecosystem.
We don't believe in one-size-fits-all AI
Instead, we empower developers to build flexible and powerful neural search systems to query all types of data.
We are building a semantic layer for modern tech stack — driven by the latest NLP and open source.
Where we come from
We believe NLP is a game changer
We founded deepset to address the most powerful use-case for NLP — neural search.
We've worked with the largest enterprise customers to help them do search differently.
We bridge the gap between research and industry.
Meet our team
We are a distributed team of people driven by the idea of making natural language processing most practical.
Milos has always been passionate about the power of mathematics and statistics. He studied at the TU Munich, the Center for Digital Technology and Management, and UC Berkeley. Before co-founding deepset, he was responsible for the go-to-market and business development at Konux.
Malte leads the dev team behind Haystack and the solutions on top of it. He holds a MSc with honors from TU Munich and did research at Carnegie Mellon University. Before starting deepset Malte worked as a data scientist for multiple startups.
Head of ML
Timo Möller is always at the intersection of the latest research and the applied use of NLP. He also works with our enterprise customers on engineering search solutions with Haystack. Timo studied computational neuroscience and is a devotee of open source and all-things-NLP.
We aspire to lower the barrier to composable NLP. Our culture is about making things happen, respectful interactions, curiosity, creativity, enthusiasm, and humor. Here's our team at work!
Get in touch
Send us an inquiry if you are interested to learn more about what we do.