May
26
2020
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Scandit raises $80M as COVID-19 drives demand for contactless deliveries

Enterprise barcode scanner company Scandit has closed an $80 million Series C round, led by Silicon Valley VC firm G2VP. Atomico, GV, Kreos, NGP Capital, Salesforce Ventures and Swisscom Ventures also participated in the round — which brings its total raised to date to $123M.

The Zurich-based firm offers a platform that combines computer vision and machine learning tech with barcode scanning, text recognition (OCR), object recognition and augmented reality which is designed for any camera-equipped smart device — from smartphones to drones, wearables (e.g. AR glasses for warehouse workers) and even robots.

Use-cases include mobile apps or websites for mobile shopping; self checkout; inventory management; proof of delivery; asset tracking and maintenance — including in healthcare where its tech can be used to power the scanning of patient IDs, samples, medication and supplies.

It bills its software as “unmatched” in terms of speed and accuracy, as well as the ability to scan in bad light; at any angle; and with damaged labels. Target industries include retail, healthcare, industrial/manufacturing, travel, transport & logistics and more.

The latest funding injection follows a $30M Series B round back in 2018. Since then Scandit says it’s tripled recurring revenues, more than doubling the number of blue-chip enterprise customers, and doubling the size of its global team.

Global customers for its tech include the likes of 7-Eleven, Alaska Airlines, Carrefour, DPD, FedEx, Instacart, Johns Hopkins Hospital, La Poste, Levi Strauss & Co, Mount Sinai Hospital and Toyota — with the company touting “tens of billions of scans” per year on 100+ million active devices at this stage of its business.

It says the new funding will go on further pressing on the gas to grow in new markets, including APAC and Latin America, as well as building out its footprint and ops in North America and Europe. Also on the slate: Funding more R&D to devise new ways for enterprises to transform their core business processes using computer vision and AR.

The need for social distancing during the coronavirus pandemic has also accelerated demand for mobile computer vision on personal smart devices, according to Scandit, which says customers are looking for ways to enable more contactless interactions.

Another demand spike it’s seeing is coming from the pandemic-related boom in ‘Click & Collect’ retail and “millions” of extra home deliveries — something its tech is well positioned to cater to because its scanning apps support BYOD (bring your own device), rather than requiring proprietary hardware.

“COVID-19 has shone a spotlight on the need for rapid digital transformation in these uncertain times, and the need to blend the physical and digital plays a crucial role,” said CEO Samuel Mueller in a statement. “Our new funding makes it possible for us to help even more enterprises to quickly adapt to the new demand for ‘contactless business’, and be better positioned to succeed, whatever the new normal is.”

Also commenting on the funding in a supporting statement, Ben Kortlang, general partner at G2VP, added: “Scandit’s platform puts an enterprise-grade scanning solution in the pocket of every employee and customer without requiring legacy hardware. This bridge between the physical and digital worlds will be increasingly critical as the world accelerates its shift to online purchasing and delivery, distributed supply chains and cashierless retail.”

Nov
28
2018
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Amazon Textract brings intelligence to OCR

One of the challenges just about every business faces is converting forms to a useful digital format. This has typically involved using human data entry clerks to enter the data into the computer. State of the art involved using OCR to read forms automatically, but AWS CEO Andy Jassy explained that OCR is basically just a dumb text reader. It doesn’t recognize text types. Amazon wanted to change that and today it announced Amazon Textract, an intelligent OCR tool to move data from forms to a more useable digital format.

In an example, he showed a form with tables. Regular OCR didn’t recognize the table and interpreted it as a string of text. Textract is designed to recognize common page elements like a table and pull the data in a sensible way.

Jassy said that forms also often change, and if you are using a template as a workaround for OCR’s lack of intelligence, the template breaks if you move anything. To fix that, Textract is smart enough to understand common data types like Social Security numbers, dates of birth and addresses, and interprets them correctly no matter where they fall on the page.

“We have taught Textract to recognize this set of characters is a date of birth and this is a Social Security number. If forms change, Textract won’t miss it,” Jassy explained.

more AWS re:Invent 2018 coverage

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