AgShift Inc Rolls Out Solution On Food Inspection System

An MBA from Cornell University and a BS (Hons) in Computer Science from University of Mumbai, she is a passionate entrepreneur and product executive with a proven track record of successfully launching and scaling products across multiple startups and companies such as VMware and IBM. She also serves on the advisory board of BetterMDM, PlainMark, and MergeLane. And now she has come up with her own technology start-up headquartered at Silicon Valley, in California, that promises to deliver the biggest impact on reducing global food waste through their autonomous food inspection system.

AgShift Inc., floated by Miku Jha, is considered to be the world’s most advanced autonomous food inspection system. Its software blends patented Deep Learning models with Computer Vision to make food inspections autonomous, consistent and standardized at scale. AgShift is empowering the world’s largest agriculture and food organizations to reduce global food loss and waste.

Jha pointed out that they are now re-imagining food inspection at various layers – beginning with digitization of product specifications, using a mobile-first approach for operational efficiencies to leveraging Deep Learning to make inspections autonomous. The goal of the company is to standardize food inspection across the entire supply chain and reduce food wastage resulting from inconsistencies in food quality interpretation. She said that most food organizations now know that they can improve operational efficiencies with digitization. They, therefore, want to put across the message – that objective and consistent judgment of food quality – brings better transparency, significant reduction in claim management and overall can reduce food waste with pre-emptive & objective decision making – is resonating with organizations in food supply chain, not just in the US but globally.

Interestingly, earlier as part of Senior leadership and Product team, Jha had helped build and scale multiple storage, mobile software startups into well-known global companies. She played a key role in growing the storage business as a founding engineer at Ariodata, which was subsequently acquired by Xyratex Inc. She also helped grow and scale mobile business and product at Worklight, which was acquired by IBM. She led several mobile and IoT initiatives at IBM – under Mobile First portfolio. She was responsible for successful execution of Mobile virtualization initiative at VMware under the office of the CTO.

And now in her current capacity as the Founder and CEO of AgShift, she was instrumental in developing the AgShift solution blending Deep Learning with Computer Vision to autonomously inspect produce and other commodities for defects. It does quality assessments and makes judgments as per USDA specifications or organizations’ own specifications. The patented 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 our software to analyze defects with high consistency and accuracy – every time. If Jha is to be believed the current solution promises to augment manual inspections – providing objective, consistent and standardized quality interpretation across the supply chain – every single time.