Cybereum

Improving Capital Project planning and performance
Austin

About Cybereum

Cybereum is an AI-driven project management platform designed to help project promoters and contractors plan and execute complex capital projects efficiently, ensuring they remain on schedule and within budget. By integrating AI, machine learning, and distributed ledger technology (DLT), Cybereum enhances forecasting, risk management, and real-time collaboration. The company is dedicated to addressing the challenges associated with cost overruns, scheduling delays, and inefficiencies that plague large-scale construction and infrastructure development projects. Cybereum's innovative approach combines technology with the latest project management research to create a powerful project management platform that enhances transparency, accountability, and collaboration across all stakeholders.

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Problem statement

Cybereum addresses chronic cost overruns, schedule delays, and inefficiencies in complex capital projects, a multi-trillion-dollar global challenge. Traditional project management tools lack predictive capabilities, transparency, and real-time adaptability, leading to large overruns, financial strain, disputes, and inefficiencies.
Capital projects—spanning construction, energy, and infrastructure—struggle with fragmented data, poor collaboration, and limited forecasting. Stakeholders work in silos, schedules are inaccurate and misaligned, and decision-making is reactive rather than proactive. Ineffective risk management compounds these issues, causing projects to exceed budgets and timelines.
The market opportunity is vast—over $10 trillion is spent annually on construction, with $1+ trillion lost due to inefficiencies. Megaprojects alone account for 5-8% of global GDP, yet the average capital project loses $1.2 billion.
Cybereum transforms project execution with AI-driven forecasting, advanced network analytics, and enhanced collaboration, transparency, and accountability. By synchronizing schedules and contracts across stakeholders, Cybereum ensures that projects are delivered on time, on budget, and with reduced risk—redefining how capital projects are planned and controlled.

Traction information

2 Granted Patents protecting our AI and DLT-driven project management innovations.
Multiple Peer-Reviewed Publications in leading journals validating our technology.
NSF SBIR Grant Recipient, awarded after rigorous evaluation of its transformative impact.
Several LOIs & Active Pilots with companies in construction, energy, and defense.
Ongoing Engagements with global industry leaders in EPC, infrastructure, and DoD.
Capital Factory Austin Portfolio Company, recognized for high-growth potential.

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Milestones

October 2022

NSF I-Corps

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)

May 2022

NSF Grant

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

March 2022

cybereum trademark graded by USPTO

We on the Trademark for cybereum

January 2022

Architecture Patent Granted by the USPTO

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

January 2022

Peer-reviewed paper on our machine learning methods for project forecasting published in the PMJ

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

July 2021

Method Patent granted

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

July 2021

White paper published as a peer-reviewed paper by ACM

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

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Funding

Currently raising capital

Total raised to date:$500,000

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