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Vectorise the world.

Quasara 'Synapsis'
The vectorisation engine that turns visual data into vector embeddings.

Turn complex visual data into vector embeddings to connect it to real world AI in autonomous driving, visual inspection of infrastructure, earth observation or manufacturing.

Effortlessly extract vector embeddings from hundreds of millions of frames or millions of minutes of video footage - using the latest embedding models

Don’t worry about a data ingestion pipeline.

Don’t worry about setting up a framework for vectorisation yourself.

Don’t worry about which embedding model to use.

Don’t worry about the infrastructure you need.

Just provide us with the data - and the headaches are gone.

  • Provide your visual data. Wait a couple of hours for processing and voila! you can start using your vector embeddings or use Quasara 'Plato' to browse and explore your dataset like never before possible.

  • We vectorise visual data tailor-made to your use case and the specifics of your image data; and you can focus on building what you build.
    Use case, resolution, industry-specific needs, everything is considered with our smart algorithmic vectorisation.

    And be sure that we will always use the latest and best embeddings models for your needs and carefully balance precision, model size, cost and speed.

  • Use your vector embeddings however you want.
    Whether you want to build semantic search engine, a RAG, a chatbot for your data or other applications, vector embeddings power a large variety of use cases.
    Our focus lies on instustries that use images and video to build real-world AI and machine applications such as autonomous driving, visual inspection of infrastructure or earth observation with satellite images.

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How we do it - We connect visual data to AI

What we do different - We put vectors at the centre of your data strategy

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Explore industries we help

From visual inspection of infrastructure to autonomous driving or satellite vision, we help you scale your Computer Vision AI with vector embeddings.

Find out how Quasara can help you automate visual inspection via Semantic Search.

Visual Inspection

Quasara is able to locate unlimited amount of classes, outliers and similarities for autonomous driving use cases.

Autonomous Driving

Quasara Plato can make sense of vast datasets acquired through satellites for n number of use cases.

Satellite Vision

Performance for high traffic with maximum reliability and an API that scales with your daily vectorisation needs.

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Seamless integration with existing search systems and applications, through instant access to data and models.

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State-of-the-art encryption and compliance with customizable endpoints.​

'Synapsis' API for seamless embedding extraction

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