Graip.AI
Sergey Jermakov has a diverse work experience, starting with their current role as COO and Co-Founder at graip.ai, a company that specializes in making document data usable for businesses. Prior to this, Sergey held the position of Senior Partner, Head of Sales, and Monetization Architect at CLARITY, where they contributed to transforming sales processes and enhancing manufacturing operations. Sergey also has a strong background in business development and sales roles at companies like SAP, ecenta AG, Oracle, Microsoft (ex Navision), Robertson & Blums Corporation, and Parex Bank. Sergey's roles at SAP included Global Business Development Director, Business Development Director, and Sales Director, where they focused on customer experience management and engagement, particularly in the Middle and Eastern Europe region. Overall, Sergey has extensive experience in sales, business development, and leadership roles across various industries.
Sergey Jermakov completed their education in a chronological order. Sergey first attended Riga Secondary School #40 from 1986 to 1996. Following that, they enrolled at Latvijas Universitate and obtained a Bachelor of Business Administration (BBA) degree between 1996 and 2001. Later on, from 2002 to 2004, Sergey furthered their studies at the Riga International School of Economics and Business Administration. Here, they earned a Master of Business Administration (MBA) degree from the University of Salford with a specialization in electronic payment systems for e-commerce.
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Graip.AI
The GraipAI platform is an AI assistant creating structured and usable data from various documents. It combines the power of rules-based Robotic Process Automation and self-learning Artificial Intelligence. The platform recognizes documents, processes data, and transmits it to target fields or systems like SAP, Microsoft Dynamics 365, and Sales Force. The Graip.ai platform gives different size enterprises a large variety of operational possibilities: invoice recognition, receipts recognition, passports and personal IDs recognition, data extraction from an email scenario, and map product characteristics to the Customer Product Catalogue. The platform helps to create an automated end-to-end processing flow instead of manually performing repetitive enterprise tasks.