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Compare full coverage across 3 outlets
Israeli Startup Elio Raises $21 Million to Revolutionize AI Sensors with Adaptive Optics
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By מאיר אורבך
Tech13:00 · Jul 23

Israeli Startup Elio Raises $21 Million to Revolutionize AI Sensors with Adaptive Optics

Calcalist
Translated & summarized from Calcalist by baba
The story · English

Elio, an Israeli startup founded by Nadav Grossinger and Nitai Romano, has secured $21 million in a Series A funding round led by Innovation Endeavors and Xora, with participation from Kevin Weil and Scribble VC. Existing investors UpWest and Resolute Ventures, who led previous funding rounds, also joined, bringing Elio's total capital raised to $29 million. Grossinger and Romano, who previously developed Pebbles Interfaces acquired by Meta and led Meta's AR/VR sensing division, have over 20 years of experience at the intersection of optics and artificial intelligence.

Elio develops advanced sensors designed specifically for AI, enabling real-time selection of relevant data rather than capturing fixed images based on human vision limitations. This technology allows AI to determine and extract critical information on the spot, improving applications across multiple industries. In microscopy, Elio's sensors enable researchers to monitor live cell responses to drugs over time without destroying samples. In semiconductors, the sensors detect hidden defects within chips without slicing silicon wafers. Robotics benefit from multi-sensory modules that self-calibrate and adapt to changing conditions, while security applications include detecting small, fast-moving threats like drones in challenging environments such as darkness or fog.

The core innovation lies in embedding algorithmic computation directly into the camera optics. Dynamic layers of micro-mirrors process incoming light before it reaches the sensor, functioning more like neural networks than traditional lenses, preserving signals that conventional optics would lose. The AI continuously learns and adjusts the optics in real time, identifying objects and materials by their physical signatures rather than pixel data. A single sensor can replace multiple traditional sensors and improve its capabilities over time, effectively turning the camera into evolving software.

Grossinger emphasized the strategic importance of this technology, stating, "The competition for the future of AI will not be decided just by bigger models, but by what they can perceive from the world. We give AI its own eyes, ones that can choose their information and discover what no one thought to look for."

Read the original at Calcalist
Full coverage · 3 outlets
100% centerFirst: Calcalist · Jul 23

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