LGN secures $2 million in funding to take AI out to the edge

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LGN, a provider of ‘edge AI’ technology, has secured $2 million (£1.4m) to expand its reach, bolster product development and hiring.

The company, based in the UK, US and Croatia, is firmly of the belief that, like many technologies, comparing performance in lab conditions to that in the wild is a fool’s errand. The company’s software products allow edge AI systems to operate with resiliency, and at scale, in real world conditions.

There are four product lines for the company in total; Neuroform, an open source, cloud-native framework for orchestrating scalable edge AI; Ultra, which optimises AI and machine learning models to run quickly and reliably on resource-constrained hardware; Fusion, for multi-sensor perception systems; and Sense, giving users the ability to add edge AI capabilities to existing hardware products easily.

The company has only four executives listed, but all are stellar; Vladimir Ceperic, visiting professor at MIT and of the University of Zagreb Faculty of Electrical Engineering & Computing; Luke Robinson, Oxford and Cambridge research fellow; Daniel Warner, a former executive at BMW, and James Arthur, whose combined software development and entrepreneurial experience saw him co-found synthetic data startup Hazy.

Warner explained the rationale behind the benefits of AI being ‘limited’ while humans are involved in the majority of decisions.

“AI has huge implications for the way businesses operate, yet so much of the modelling is done in carefully controlled test environments,” Warner told VentureBeat. “When deployed in real world situations, anomalies always occur, which disrupts lab-grown models and undermines companies’ efforts to revolutionise how they use autonomous systems effectively.

“By scaling edge AI, optimising the endpoints collecting the data, and making models more resilient, we are radically accelerating learning and, in doing so, giving our customers a competitive advantage in a crowded marketplace,” Warner added.

LGN’s Twitter account confirmed the veracity of the VentureBeat story.

Photo by Sharon McCutcheon on Unsplash

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