Living Optics has secured $20 million of new financing to expand deployment of its computational hyperspectral imaging platform, bringing strategic semiconductor and defence investors into the Oxford spinout as it moves further into industrial inspection and other commercial markets.
The oversubscribed round was led by BRV Capital Management. New investors include Lockheed Martin Ventures, Applied Ventures, Lam Capital, GK Goh and the British Business Bank, while existing backers Octopus Ventures, Foresight Group and OTIF Ventures also participated.
Founded in 2019 from research at the University of Oxford’s Department of Physics, Living Optics develops cameras that capture spatial information about a scene alongside spectral information across multiple wavelengths. The resulting dataset can distinguish materials or conditions that appear similar to a conventional colour camera because each part of the image carries information about how light is reflected or absorbed.
Conventional machine vision commonly works with intensity or red, green and blue values at each pixel. Hyperspectral imaging adds a spectrum to each spatial point, allowing software to compare wavelength dependent signatures as well as shape, colour and texture. Materials with similar visible appearances can therefore produce measurably different spectral responses.
That additional information can support automated sorting, contamination detection, packaging inspection and other quality control tasks where visible features alone are insufficient. A production system could, for example, distinguish materials with similar colour, detect variation in composition or provide a robot with additional classification data before it handles a component.
Historically, hyperspectral imaging has involved a trade-off between spectral detail and the speed or simplicity required for industrial use. Scanning systems can generate rich information but require movement between the object and sensor, while production lines often need a decision before a continuously moving product has left the inspection area.
Living Optics is developing snapshot systems intended to capture spectral data at video rates, reducing the dependence on mechanical scanning and making the technology easier to integrate into computer vision workflows. Faster acquisition is particularly important where moving products, robotic handling or continuous processes leave little time for analysis.
Software and calibration remain as important as the optical hardware because spectral measurements can change with illumination, geometry, surface condition and sensor characteristics. A factory system has to convert a high dimensional image into classifications that remain stable as production conditions vary rather than performing well only under controlled laboratory lighting.
Living Optics supplies analysis and camera software alongside its hardware and has expanded compatibility with Nvidia Jetson platforms used for edge computing and machine vision development. Processing data close to the camera can reduce the amount of raw hyperspectral information that has to be transferred elsewhere before a production decision is made.
The composition of the funding syndicate places particular emphasis on semiconductor and industrial applications. Applied Ventures is the venture capital arm of Applied Materials, while Lam Capital invests around technologies relevant to semiconductors, advanced manufacturing and Industry 4.0.
Those investors bring experience from a manufacturing environment where inspection and metrology already account for a substantial part of process equipment. Wafer fabrication and advanced packaging involve complex materials and structures whose defects or variations can be difficult to identify using visible imagery alone.
The British Business Bank also identifies semiconductors, advanced manufacturing, defence, life sciences and environmental monitoring among the markets where Living Optics’ platform could be applied. Each creates a different validation problem, so moving into several sectors will require application specific calibration and integration rather than one generic hyperspectral model.
Industrial deployment will also depend on practical engineering around the sensor. Manufacturers need repeatable calibration, documented performance, interfaces to automation and quality systems, manageable data volumes and a support model that can be maintained across multiple production sites.
Applications in defence or regulated life science environments introduce additional assurance requirements, while semiconductor inspection may demand very different wavelength ranges, optics and processing speeds from food sorting or environmental sensing. The commercial platform therefore has to support specialised configurations without turning each deployment into a bespoke research project.
The new capital follows an earlier £20 million Series A raised to commercialise Living Optics’ computational imaging technology. The latest round introduces a different mix of strategic investors as the company moves from broadening access to hyperspectral imaging towards proving its value in defined industrial workflows.
The commercial threshold is straightforward even if the underlying technology is not: additional spectral information has to improve a production decision enough to justify the camera, compute and integration overhead. RGB and monochrome machine vision remain cheaper and simpler where visible features are sufficient, while hyperspectral imaging becomes more useful when material composition or condition cannot be inferred reliably from appearance alone.
Living Optics now has additional capital and semiconductor sector backing to push that distinction into more production environments. The next measure of progress will be the number of applications in which spectral data can operate at line speed, withstand changing factory conditions and produce a repeatable automated decision rather than merely a more detailed image.
