Deep Expertise Grounded in Experience
Over the past three decades, we’ve solved some of the toughest tech problems in business.
From being corporate planning and forecasting pioneers, to crafting data strategy for particle accelerators to better understand the origins of the universe, to co-authoring the roadmap for adopting AI in the public sector years before LLMs became commonplace, our core team has lived on the cutting edge of applied innovation.
We live in practice, not theory.
Solving real-world problems in the most complex scenarios allows us to see the ‘art of the possible.’ We understand what today’s tech can do. More importantly, we also understand what it can’t do.
It's Always Man and Machine
Our decades of experience across fintech, pharmaceuticals, media, defense, manufacturing, and the public sector have led to our ‘man and machine’ approach to solution design. There are certain things humans do best, and others that machines do better.
Our approach combines both into groundbreaking solutions that not only solve intractable problems but are also intentionally designed to be simple and elegant.
"ML is no panacea. The flexibility and power of ML techniques have a dark side. When misused, ML algorithms will confuse statistical flukes with patterns.
This fact, combined with the low signal-to-noise ratio that characterizes finance, all but ensures that careless users will produce false discoveries at an ever-greater speed."
- The 10 Reasons Most Machine Learning Funds Fail
Marcos López de Prado
Meet The Architect
Sid Ghatak is a leader in the field of Artificial Intelligence and Analytics, with over 30 years of experience driving innovation and transformation in technology and business.
As the Director of the Data and Analytics Center of Excellence at the General Services Administration (GSA), Sid led data analytics initiatives that significantly enhanced governmental efficiency.
Sid's influence extends to policy-making, such as when he helped shape the Executive Order on AI Safety and Trustworthiness as a senior White House official. He also co-authored the Federal Government’s AI Maturity Model, setting a benchmark for AI adoption in the public sector. His work at Time Warner led to 80% higher revenue, merging data analytics with business growth.
Sid has contributed to raising awareness of AI and data monetization innovations in industry publications and as a keynote speaker. He developed and taught the Master’s Certificate Program in Business Intelligence at Villanova University.
Ready to See For Yourself?
A new source of 90% uncorrelated alpha* across 800+ equities.
Built for institutional teams who need a new source of alpha with a measurable edge, fast validation, and consistent, outperformance—without changing their current strategies.
* All statistical, programmatic, and performance claims have been independently calculated and verified by Zanista, an AI analytics firm founded by a former quantitative researcher for Millennium and UBS who holds a PhD in Financial Mathematics from Imperial College London.