Momentum empowers companies to model and optimize their entire organization by creating digital twins, project by project, using a conversational interface. A digital twin is a digital replica of a physical object, person, system, or process contextualized within a digital version of its environment. Today, 70% of C-suite technology executives at large enterprises are exploring and investing in digital twins to increase project success rates. The market for digital twins is projected to grow at a 60% CAGR over the next five years, reaching $73.5 billion by 2027.
Digital Twins are expected to enter their hype cycles in 2029-2030
Digital Twins are expected to enter their hype cycles in 2029-2030
Traditionally, digital twins simulate physical systems for optimization and decision-making but often fail to represent complex, dynamic organizations due to limitations in processing large sets of rules and data.
Momentum changes that by integrating advanced Large Language Models (LLMs), Mflow—our proprietary programming language for knowledge graphs—and a robust rules-based engine. This combination allows Momentum’s digital twins to handle millions of rules, capturing the intricacies of complex systems and entire value chains. We go beyond physical modeling by incorporating human elements like goals, tasks, and decision-making processes into our simulations.
BRMS = Business Rules Management System
**Every year, $48 trillion is invested in projects, yet only 35% are considered successful.** Momentum is changing the way organizations approach projects. By providing real-time insights and predictive capabilities, we help increase project success rates, optimize operations, and drive sustainable growth—all through a simple conversation.
**(**Adapted from HBR: “How AI Will Transform Project Management”)
****Sometime soon, the CEO of a large company will use an iOS app to check on her organization’s seven strategic initiatives. Within a few taps, she will know the status of every project and what percentage of expected benefits each one has delivered. Project charters, key performance indicators, and each team member’s morale level and the overall buy-in of critical stakeholders will be available in moments.
She drills down on the “rebranding” initiative. A few months earlier, a large competitor had launched a new green brand, prompting her company to accelerate its own sustainability rollout. Many AI-driven self-adjustments have already occurred based on parameters chosen by the project manager and the project team at the initiative’s outset. The Digital Twin informs the CEO of every change that needs her attention — as well as potential risks — and prioritizes decisions that she must make, providing potential solutions to each.
A few weeks earlier, the project had been slightly behind, and the Digital Twin identified a critical bottleneck in resource allocation. The system recommended reshuffling resources and automating lower-priority tasks to free up high-value team members. It also suggested leveraging rapid decision frameworks to unlock faster progress on key milestones, helping the project regain momentum.
During the meeting, they simulate possible solutions and agree on a path forward. The project plan is automatically updated, and messages are sent informing affected team members and stakeholders of the changes and a projection of the expected results.
Thanks to the organization’s digital twin and new ways of working, a strategic project that could have drifted out of control — perhaps even to failure — is now again in line to be successful and deliver the expected results.
A look into a leader experience with a Momentum-powered Digital Twin implemented in the organization
A look into a leader experience with a Momentum-powered Digital Twin implemented in the organization