Received a NSF I-Corps Grant supplementary to our previous grant for customer discovery and engagement. The three categories that we have discovered, aided by our earlier SBIR “Beat the Odds” bootcamp are: financiers such as Banks, multilateral lending agencies and governments who fund projects, promoters such as Energy Majors and Infrastructure Developers who plan, own and operate them, and major contractors who are contracted to build and deliver them. This grant allows for deeper and broader engagement with these stakeholders, to refine value propositions, pricing models and also to validate our beachhead markets in Energy, Renewables and Government (DoD, DoT)

The NSF Phase I SBIR Grant is meant to be the equity-free seed for companies developing transformative technologies with broad impact

We on the Trademark for cybereum

This patent covers the distributed governance system for complex cross-organizational projects using blockchain technology and smart contracts.

Reference Class Forecasting and Machine Learning for Improved Offshore Oil and Gas Megaprojects Planning: Methods and Application This paper showcases our approach for machine learning and AI for forecasting in complex projects.It was published in the Project Management Journal, the leading journal in the field on their special issue for 21st century general purpose technologies (GPTs) for project management. https://journals.sagepub.com/eprint/QG73TJCSJKF9UHS7WNGB/full

This patent is for an algorithm to convert DAG networks into hash linked blocks.

Architecture paper peer reviewed and published by the Association of computing Machinery (ACM). Distributed Ledger Architecture for Collaborative Megaproject Management with Authenticated Participants. https://dl.acm.org/doi/fullHtml/10.1145/3460537.3460563