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LayerNext was founded by a team of AI junkies and infrastructure experts. Our mission is to provide the foundational infrastructure that accelerates the progress and adoption of computer vision and AI technologies. We aim to simplify the handling of visual data, making it accessible and manageable for businesses of all sizes.
We believe in the power and potential of computer vision, a technology that extends the capabilities of human sight into the digital realm. We envision a future where computers ‘see’ and interpret the visual world just as we do - identifying objects, detecting events, and recognizing emotions and actions.
To achieve human-like visual perception using computer vision, two things must come together: good algorithms and high-quality data to represent the problem space. Our understanding is that we already have good enough algorithms. So, finding high-quality data is the key to unlocking the problem.
There is no moonshot solution to find the perfect dataset; it is a highly iterative process with continuous learning. To support this iterative process, there should be a robust, purpose-built data infrastructure platform and tools tailored toward vision data.
Our belief is that data, metadata, ground truth, model runs, training outcomes, and all other related data should be unified in a single repo and then allow easy access to data between pipeline processes in a more meaningful way. In a nutshell, there should be a foundation layer to capture, store, index, and search metadata. We are building that layer in LayerNext.
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