RANCHO PALOS VERDES, Calif. - eTradeWire -- RevSystems Founder Matt graduated from Fordham University before working for 5-years in Investment Banking.

After leaving the investment bank along with 3 other partners, they formed a long/short equity hedge fund called Throne Capital using Python Machine Learning to analyze financial statements and revenue engines.

Following the successful sale of Throne Capital's intellectual property Matt worked with multiple Venture Capital and Consulting firms, including co-founding his own VC firm.

"I loved banking, and alternative investments provide the asymmetry I love, but I wasn't creating... I was redistributing"

RevSystems was formed to build systems to grow revenue of the portfolio companies that Matt had a financial stake in. This is achieved by fusing all-source revenue intelligence with unique visualizations and automations that maintain laser-focus on leading indicators.

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"We visualize data from your CRM, SEP, ERP --> all source data... and then we leverage machine learning to perform induced learning and that drives next steps" Matt McDonagh shares during a morning run at the CIO 100 Symposium in Rancho Palos Verdes, California.

"Magellan Midstream Partners, Everest Group, KPMG, Mitre Corporation, NASA and so many other incredible Technical leads are here... the best part about this group is they are all innately curious and see the promise that technology affords us all"

"There is a real need for simplicity, focus and efficiency... that is precisely what RevSystems is delivering for our clients".

Visit https://revsystems.ai to learn more now.

About RevSystems, LLC

RevSystems is a Revenue Management Platform. The proprietary systems we design and deliver help sales, success and marketing teams work together more effectively to win deals and retain revenue by optimizing engagement.

RevSystems, LLC is the leading revenue performance software development company. RevSystems unleashes induced machine learning, python-driven exploratory data analysis, and sensor technologies to optimize revenue command and control capabilities.