Today, Scale AI is proud to formalize our partnership with the U.S. Department of Energy through a Memorandum of Understanding in support of the Genesis Mission, a national effort to unlock scientific discovery through advanced AI and computing.
The Department of Energy’s Genesis Mission is an ambitious initiative to create an integrated platform capable of harnessing the federal government's vast datasets for scientific discovery and innovation. This MOU creates a framework for collaboration on topics across AI and advanced computing, including information sharing and future joint projects in support of Genesis. Scale has also engaged on the Genesis Mission through responses to Requests for Information from the White House Office of Science and Technology Policy and DOE.
While Genesis marks a major step toward strengthening energy independence and accelerating innovation for national security, a critical objective in the initiative, apart from compute and models, is making its vast scientific datasets usable, trusted, and accessible at scale. That’s where Scale is ready to step in.
A Bottleneck to Innovation
The massive amounts of data generated across America’s 17 National Labs represents a strategic resource that, if utilized properly, can unlock transformative advances in U.S. scientific leadership.
Today, however, much of this data remains fragmented across systems, inconsistently labeled, and difficult for researchers and AI systems to use in production workflows. This is the “data bottleneck,” not a lack of data, but the gap between data that exists and data that is actually usable for AI-driven discovery.
When data is scattered, incomplete, or inconsistent, it becomes a barrier rather than a driver of discovery. The Department of Energy recently released its initial set of Genesis Mission use cases, outlining high-impact scientific and operational priorities the platform is intended to support. These use cases provide early clarity on where integrated data, advanced computing, and AI-driven tools can deliver the greatest returns for national security, energy resilience, and scientific leadership. Success isn’t about gathering more inputs; it’s about getting the right data to the right people in a way that drives decisions and real world results.
Unlocking the “Right Data”
The execution of the Genesis Mission will depend on preparing the data in ways that effectively address the mission’s core goals. That means making sure the data from our National Labs is:
- Trusted: It should be accurate, validated, and consistently reviewed so researchers and AI systems can rely on it.
- High-quality: Data must be consistent, complete, and free from errors that could slow or misdirect discovery.
- Secure: Sensitive information should be protected while still allowing for the collaboration necessary to advance research.
- Mission-aligned: Every dataset should be relevant to the objectives of the Genesis Mission, helping drive meaningful outcomes and reflect the evolving needs of U.S. science, energy, and industry, supporting both current work and future discoveries.
Getting these fundamentals right is what turns data infrastructure into scientific advantage.
Creating Standards That Enable Innovation
Alongside the Department of Energy’s efforts to modernize and structure its databases, the Genesis Mission will need to develop a strategic framework to guide the creation of high-quality evaluation benchmarks and determine the most high impact use-cases to prioritize. The recently announced Genesis Mission Consortium is a promising step in this direction, with one of its core working groups dedicated specifically to Data Integration and Standards.
Through this MOU, Scale will work with DOE to explore contributions across AI-ready data infrastructure, evaluation systems, and advanced model applications, with a pathway to deeper collaboration through future projects and pilots.
The Role of Commercial Partners
Scale’s experience in high-stakes, mission-critical AI projects shows that disciplined, ongoing data expertise is often what separates ambitious initiatives from those slowed by fragmented or inconsistent information. As Genesis evolves, trusted partnerships that can operate across complex, distributed data environments will remain key to building AI systems that can support meaningful scientific discovery while preventing new bottlenecks from emerging.
Signing this MOU is an important step in getting the data layer right in this mission. It allows Scale to engage more directly with DOE, align on shared priorities, and discuss how AI is applied across some of the most important scientific challenges facing the country. Scale is proud to contribute our perspective to this national effort, as we work alongside the White House and the U.S. Department of Energy to advance AI-assisted innovation that strengthens American leadership and accelerates discovery at the forefront of energy, security, and scientific priorities.