The first Data Assembly Line for Computer Vision and NLP.

Our software helps to unlock the value that sits in vast amounts of unstructured data. It makes unlabelled data searchable to get insights into data distribution, outliers and semantics. Based on those insights, our software helps to reduce and refine datasets and improve data distribution for downstream tasks like data annotation, model training and data analytics.

Image Data
Video Data
Text Data
Audio Data

Benefits for our customers

  • Understand raw data in minutes, not weeks.
  • Reducing the raw dataset size by up to 90% compared to the raw data collected.
  • Saving up to 80% of the time spent on manual dataset preparation and curation.
  • Saving up to 50% of the costs for storage, computation and labeling of training datasets.
  • Increase success rate of Computer Vision and NLP projects.

Quasara ‘Explore‘ in action: automated clustering, data distribution visualisation, text and image querying – without labelled data!

Images from ‘Places‘ dataset kindly provided by Bolei Zhou, Agata LapedrizaAditya KhoslaAntonio TorralbaAude Oliva of Massachusetts Institute of Technology

About Us

We are on a mission to expedite the adoption of Computer Vision and NLP -powered products and services that change the world. We do that by making data preparation for annotation, model training and data analytics a breeze with the Data Assembly Line that we are building.

Preparing high quality datasets for real-world AI is at the heart of what we do. To make this happen, one needs to understand raw datasets and thus be able to explore the data before the next step for curation, annotation, model training or analytics is made.

This was the experience of our founders when they worked with structured and unstructured data in the past. With more and more real-world AI applications being trained, we believe that it is time for an easier and better way to start a Computer Vision or NLP project – to finally unlock the value of unstructured data.