Cogniac selected to join SAP’s Fall 2020 Accelerator Program

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Cogniac is one of six enterprise startups selected to be part of SAP.iO Foundry NYC Cohort.

Cogniac’s Co-Founder and VP of Systems, Amy Wang, PhD

Cogniac’s Co-Founder and VP of Systems, Amy Wang, PhD

SAP.iO recently announced the launch of SAP.iO Foundry New York Fall 2020, SAP’s virtual accelerator program that supports startups led by diverse entrepreneurs. Six enterprise startups focused on retail, manufacturing and automotive technology have been selected into the 12-week program. These startups work in a wide array of fields, including AI, analytics, 3D printing, robotic fabrications, and ultrasonic technologies.

“We are super excited to be part of SAP.iO Foundry NYC Cohort,” says Cogniac’s Co-Founder and VP of Systems, Amy Wang, PhD. “We look forward to introducing Cogniac’s Drag and Drop Visual AI Platform to SAP customers in automotive and manufacturing industries, to bring visibility, focus, and agility and enable them to lead in the new Industry 4.0 world.”

SAP is committed to diversifying technology industries, and strongly believes that innovation comes from bringing more voices and perspectives to the table. Cogniac is honored to be included among the select group in this year’s class of startups and looks forward to working alongside their teams, and SAP executives, through December. Wang continues, “I am delighted to see so many female founders in this cohort. We really appreciate that SAP.iO is making an effort to equalize the field.”

This news follows another recent development for Cogniac which successfully raised $10m in Series B financing. The funding will be used to hire key staff, expand sales and marketing, and support the growth of the company. These are signs of growth and momentum for Cogniac as they work to improve the world by automating visual inspection tasks.

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About Cogniac

Cogniac is on a mission to improve the industrial and manufacturing industries by automating visual inspection tasks. Cogniac’s system combines the latest AI research, human-computer interaction tools, and large-scale data management to make computer vision easier, more accurate, and scalable, enabling customers of all sizes to extract information from ever-increasing image data and video streams.

Using modern advances in deep learning and hyper parameter optimization, Cogniac's software can achieve better-than-human accuracy and continuously improve inspection workflows with very little technical knowledge from your subject matter experts.

If an item or condition of interest is visible in the media provided — even if it requires professional expertise — Cogniac's system can automatically inspect images and video to classify, detect, count and measure with a high degree of reliability in real time.

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Leah Cook
Cogniac
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