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AgTech start-up AgShift raises $2 million funding led by Exfinity Ventures

The start-up is building an autonomous food inspection system using deep learning to strengthen product development.

AgShift is currently working with a select group of food companies to bring this solution to market. (Photo: Agency)

, a California-based technology startup, which is working on an autonomous food inspection system leveraging deep learning to reduce food waste has raised $2 million in seed funding to strengthen product development and expand customer reach. AgShift is currently working with a select group of food companies to bring this solution to market.

“Current food inspection processes are paper-based and tedious, needing continuous personal training. Inconsistent & subjective inspections result in a loss of $15.6 billion a year for the organisations responsible – not counting the millions of dollars in recovery costs, claim management and loss of brand reputation incurred by the companies involved”, said Miku Jha, Founder & CEO of AgShift.

“At AgShift, we are re-imagining food inspection at various layers – starting from digitizing product specifications, using a mobile-first approach for operational efficiencies to leveraging Deep Learning to make inspections autonomous. Our goal is to standardize food inspection across the entire supply chain and reduce food wastage resulting from inconsistencies in food quality interpretation,” she claimed.

AgShift said its solution blends Deep Learning with Computer Vision to autonomously inspect produce and other commodities for defects. It does quality assessments and makes judgements as per USDA specifications or organizations' own specifications. The deep learning models analyze the defects in the sample images and predict the overall quality of the sample. The platform relies on curated, extensive real-world image data sets to teach software to analyze defects with high consistency and accuracy. The solution augments manual inspections – providing objective, consistent and standardized quality interpretation across the supply chain.

“We have just begun to see the capabilities that this technology can bring to the food industry. AgShift can make a huge impact on reducing 1.3 Billion tons of annual food loss and waste – a complex, real world challenge for everyone.” said Jha.

“The AgShift team is truly leading the transition of food inspection and quality assessment into the data-driven era, AgShift's unique application of deep learning with a challenging proposition truly excites us”, said Shailesh Ghorpade, Managing Partner & CIO of .

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