Paul Giedraitis, Principal

Paul is a Principal at Axiom Consulting Partners based in its Chicago office. He brings to the firm nearly 20 years of experience in data science, entrepreneurship, and technology product innovation.

Paul is an artificial intelligence expert who leads Axiom’s data analytics solutions capability within the firm’s Professional Services Practice. He is responsible for architecting the product vision, technical development, and market launch of Orgaimi, an organizational intelligence platform that helps firms unlock revenue growth by revealing predictive insights about their clients, services, and people.

I am fascinated with how decoding complex patterns of human interaction can help unlock performance potential within organizations. From music to sports to small startups to huge enterprises, I’ve seen over and over the profound role that teams can play in achieving greatness.

 

Experience

Prior to joining Axiom, Paul was a serial entrepreneur who launched multiple companies in the AI and data analytics space. He has served in executive roles as co-founder of software companies Orgaimi (COO), Neurensic (COO), and PeopleHedge (Director). Paul’s career experience spans numerous professional industries including legal technology, capital markets, algorithmic trading, regulatory compliance, government contracting, and FinTech. Before entering the tech startup world, Paul was an electronic systems engineer at Northrop Grumman Corporation where he designed next-generation imaging and radar countermeasures systems used in classified military platforms.

Some of Paul’s experience highlights include:

  • Firm Growth Strategy – designed and implemented “best-in-the-world” machine learning modeling system for predicting client growth in one of Europe’s largest international law firms. Achieved nearly 90% accuracy in forecasting large growth events in high-potential firm accounts, revealing numerous key behavioral drivers of client portfolio success. Correctly identified over $100 Million in annual revenue opportunities and helped win a Financial Times award for legal technology innovation.
  • Client Risk & Retention – engineered and built a novel scoring model technology to predictively capture client revenue risk, deploying it within one of the largest and most prestigious accounting firms in the US. Correctly identified over $40 million in “high risk” revenue annually and built a custom alerting and recommendation engine to flag key drivers and potential corrective actions for better retaining and growing key account relationships. Productized the system into a real-time “organizational intelligence” software application to automatically aggregate predictive insights into personalized user dashboards for internal firm reporting.
  • Artificial Intelligence – Co-inventor of the world’s first production artificial intelligence system to detect covert market manipulation within the algorithmic trading and commodity futures markets. The underlying machine learning methods and software technology were employed by attorneys, compliance officers, investment banks, and regulatory analysts to identify millions of dollars in potentially illegal trading profits. Analytics findings were leveraged in several high-profile legal cases involving regulatory enforcement actions that were covered in financial media outlets such as Bloomberg and the Wall Street Journal. Was personally awarded a US patent for this technology which was acquired by a well-known trading industry company in 2017.
  • Data Analytics Solutions – Co-founder and lead data scientist in FinTech software company that developed the world’s first automated, real-time foreign-exchange rate (FX) hedging system for small business international payments transactions. Helped pioneer the quantitative methods, algorithms, and system architecture powering “insurance for exchange rates” which would be awarded a US patent in 2014. Served as Board Director of the company as it engaged in a joint venture with one of the largest domestic bankers’ banks in the United States.

Paul holds a Master of Science and Bachelor of Science in Electrical Engineering from Johns Hopkins University. He has spent several years as a graduate researcher at Northwestern University in the Center for Quantum Devices. Paul has served as a board member and advisor to several startup companies and has appeared as a guest speaker at numerous industry events on the topics of artificial intelligence in the legal and financial industries.

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