Books
Several books on blockchain and distributed ledgers, including an early guide to smart contracts and trustless asset management (2014) and an analysis of bitcoin as a money-like informational commodity. Both remain standard references.
Post Oak Labs is an AI consultancy. The team built production tokenized payment systems, ran institutional programs at a senior level and wrote a fair share of the research the industry now cites. Today we put that experience into AI products we operate ourselves: more than 1,200 tools and workflows across three live products.
Team members bring direct production experience from tokenized payment deployments across frontier markets, and have worked alongside or within major central banks, global banking groups and first-generation enterprise blockchain consortia.
Team members have been quoted in Wired, MIT Technology Review, Reuters, The New York Times, Bloomberg, The Wall Street Journal, the Financial Times, American Banker and International Business Times, among others. Keynote and panel appearances include Sibos, Money20/20, DevCon and central bank and academic forums.
Several books on blockchain and distributed ledgers, including an early guide to smart contracts and trustless asset management (2014) and an analysis of bitcoin as a money-like informational commodity. Both remain standard references.
A 2015 paper, "Consensus-as-a-service", is credited with popularizing the term "permissioned blockchain" and the distinction between public and permissioned ledgers that institutional design still uses.
Senior involvement in CBDC initiatives: leading a global CBDC advisory function at a major technology firm, contributing to a widely referenced central bank blockchain pilot, and advising on wholesale CBDC design across jurisdictions.
Hands-on development of a bank-led blockchain payment network that became one of the most cited examples of production tokenized remittance infrastructure.
Analysis of reserve structures, systemic risk and regulatory design, cited in policy discussions and by regulators, including algorithmic stability mechanisms and collateral trade-offs.
Research on transaction graph analysis, entity clustering and the limits of blockchain privacy, which informed analytics tools used by bank compliance teams.
Technical writing on finality versus throughput and how consensus choice affects institutional use cases, across proof-of-work, proof-of-stake and BFT designs.
Writing on tokenized money market funds, bonds and securities: settlement, regulatory treatment and adoption constraints.
Work from the supervisory side as well as the implementation side, including academic instruction in RegTech and the use of onchain datasets for compliance.
We work with a limited number of institutions at a time.