TEL AVIV, Israel, May 24, 2017 /PRNewswire/ --
Inflowz, an AI process optimization company, recently completed their seed round, securing $3.5M solely from Glilot Capital Partners, a venture capital fund specializing in enterprise software that was recently ranked as the 3rd best performing fund in the world (according to Preqin).
Inflowz's artificial intelligence technology helps sales leaders optimize their sales processes. Presently, there is no effective way to understand how sales processes truly run, and as a result, no way to automatically analyze their performance. Companies typically identify the anomalies, then analyze them and manually refine their sales playbooks.
Inflowz's technology is based on three principles that allow it to simplify the entire process: CRM hygiene, process scoring, and tailored recommendations. By observing all customers' journeys, and clustering them together based on their actions in the sales process, Inflowz's AI technology is able to produce a visual, easy-to-comprehend display of the various journeys, and provide a waze-like GTM service with dynamic recommendations on how to optimize the sales journey for every opportunity, at any point in the process.
Inflowz was founded by Avinoam Nowogrodski, Rachel Haim, and Ori Roniger in 2017. Prior to founding Inflowz, Mr. Nowogrodski, CEO, founded Clarizen, a cloud-based project management software company, and led it as CEO for 10 years. He was also the founder & CEO of SmarTeam, which was acquired by Dassault Systemes (DSY). Ms. Haim, VP of Product, was also part of Clarizen's management team, and led their product strategy for 7 years. Prior to that role, she served as the VP of Customer Success for SmarTeam. Each has over 20 years of experience in the enterprise and SaaS industry. Mr. Roniger, VP of Engineering, has over 17 years of experience in developing enterprise solutions, and served as the head of the engineering group for Clarizen. He also served a four-year term in an elite IDF intelligence unit.
After observing the varying sales records of many companies, the founders conceived the idea of Inflowz as the solution to the questions "What's the best way to sell? Why do some sales teams succeed more than others? What is the sequence that creates the best results? How can we transform all sales teams into winning teams?" With their decades of experience in developing enterprise software, the team took to building an artificial intelligence system that could benefit both large enterprises as well as small to mid-size businesses.
"The implementation of artificial intelligence into company operations is becoming increasingly important. As companies experience and learn more about the impact that AI can have on streamlining their various processes, they will seek to apply it to virtually every department within their organization - especially Sales. We want to be the go-to-market AI process optimization service for these companies, and help them build winning sales processes," explained Avinoam Nowogrodski, Inflowz CEO.
Jean-Philippe Durrios, VP & MD of Marketing Services at Neurstar: "Inflowz is a game changer for velocity sales teams. The power of systematically optimizing the sales process through AI technology is granting more success for companies in every aspect of their business. In a way, the power is moving from the CRM systems to Artificial Intelligence."
Glilot Capital Partners was the sole investor in Inflowz's seed round, and they are optimistic of the future use of AI software in company operations.
"It has been almost 20 years since Salesforce re-invented the CRM space, and now is the right time to reinvent the space again with the use of AI technology. We believe that Inflowz's AI technology will do exactly that," said Kobi Samboursky, Co-Founder & Managing Partner at Glilot Capital. "We are honored to invest in the well-rounded, highly experienced Inflowz team, under the leadership of Avinoam."
With headquarters in Tel Aviv, Inflowz currently employs a team of 10 and is looking to expand, especially with the addition of engineering, Machine Learning and AI professionals.