Serious infrastructure for serious AI.
Research-backed, category-defining, built for regulated enterprise. Here's why we built it, who's building it, and how to reach us.
A note from the founders
Rhodes & Kang · Oct 2025
We've spent our careers shipping software inside regulated enterprises — at Morningstar, at IBM Research, and on risk and trading desks at RBC and TD. Generative AI is the most useful tool the enterprise has seen in a decade. It is also the most ungovernable.
Drop a generic AI assistant into a regulated enterprise and the compliance team can't tell what was said, which model said it, or which policy was applied. Risk can't review at the rate the work is generated. Audit trails are an afterthought. The result is a tool that's useful in spite of the enterprise's governance, not because of it.
AlphaBitCore exists because that tradeoff is artificial. Enforcement, supervision, and audit belong inside the execution layer — not bolted on after the fact. Local model options, firm-defined policies, per-stage model selection, and cryptographically sealed Proof of Execution are not features we added; they are what the platform is. Regulated enterprises need to control how AI runs, not just what it produces.
Four ideas the platform is built on.
Proof, not posture
Governance dashboards describe what a system is meant to do. A Proof of Execution shows what it actually did. The Control Plane is built around producing that proof at runtime — not reconstructing it from logs afterward.
Enforcement is execution
Policy, identity, scope, and authority are not downstream checks. They run inside the Gateway, as part of the same execution that produces the work. Denied actions produce zero state change.
The enterprise controls the enterprise
Model choice, local execution options, firm-defined policies, and per-stage routing exist because regulated enterprises need to control how AI runs — not just what it produces.
Category, not feature
Provable AI is bigger than any one company. It is a posture every serious enterprise use of AI will eventually require. AlphaBitCore is the first implementation — our job is to make that future usable now.
Built by people who have shipped enterprise software at scale.
Deep operating experience in data infrastructure, research systems, and applied AI — across asset management, capital markets, and global research labs.
James led one of the largest data and software businesses in financial services as President of Morningstar's Direct Platform — owning a $800M+ P&L and a 4,000-person organization across 29 countries. Before that he served as Morningstar's CTO and CDO, and was Partner & CTO at Rocaton Investment Advisors, where he built and spun out a big-data wealth platform Morningstar acquired in 2016. He spent 13 years at IBM Research as a Master Inventor with 30+ patents in financial modeling, text analytics, and data mining.
- Oct 2025 → NowCo-founder & CEO · AlphaBitCoreChicago
- 2022 → 2025President, Direct Platform · Morningstar$800M+ P&L · 4,000+ people across 29 countries
- 2018 → 2022Chief Technology Officer · Morningstar1,500+ technologists · cloud migration · ML/AI program
- 2016 → 2018Chief Data Officer · Morningstar500+ across data, science, and engineering
- 2011 → 2016Partner & CTO · Rocaton Investment AdvisorsBuilt wealth-tech spinout acquired by Morningstar in 2016
- 1998 → 2011STSM / Master Inventor · IBM Research30+ patents · youngest Master Inventor in IBM history
George brings two decades of building risk, trading, and wealth-tech systems for global financial institutions. He founded ITECH (ItechChoice) in 2015, a global engineering studio delivering wealth-tech and AI-native advisory platforms for banks and asset managers across APAC and North America. Earlier he was CTO at RequiSight (the firm behind the RightPond institutional wealth-tech platform), Associate Director of Risk Architecture at RBC Capital Markets covering liquidity, market, and credit risk, Senior Solution Architect at TD Securities on the strategic risk reporting platform (VaR, P&L attribution), and a Tech Lead at IBM Research.
- Oct 2025 → NowCo-founder & CTO · AlphaBitCoreRuntime, Gateway, and execution architecture
- 2015 → NowFounder · ITECH / ItechChoiceWealth-tech & AI-native advisory · APAC + North America
- 2014 → 2015Chief Technology Officer · RequiSightRightPond institutional DB/DC analytics platform
- 2011 → 2014Associate Director, Risk Architecture · RBC Capital MarketsLiquidity, market, and credit risk
- 2011Senior Solution Architect · TD SecuritiesStrategic risk reporting · VaR · P&L attribution
- 2003 → 2011Tech Lead, Sr. Research Software Engineer · IBMEngagement tools for IBM GTS · DB2 UDB SVT framework
Research-backed. Enterprise-ready.
- Founded
- October 2025
- Headquarters
- Chicago, IL
- Stage
- Seed
- Backed by
- Hyde Park Venture Partners
- Built for
- Regulated enterprise
Careers
We are hiring a small number of senior engineers, applied researchers, and go-to-market operators who want to work on a category that has not been built before. Roles posted forthcoming.
Press
Press inquiries and background materials — coverage of the launch, the Provable AI category, and the research program.
Contact
For conversations about the platform, partnerships, or media — reach out here.