Define the package
Identify the paper, dataset, notebooks, intermediate artifacts, lab context, and access limits.
Scientific data infrastructure
New Atlantic
AI models need richer, better-contextualized research data to be useful to practicing scientists, but most high-quality scientific data is trapped under institutional complexity. We partner with universities and academic labs to transform research data into packages for training scientific agents, while helping academic labs structure their data for future research and keeping researchers connected to downstream value.
What we do
Scientific data is most valuable when its context travels with it.
The most valuable scientific data lives across lab notebooks, intermediate results, negative results, analysis code, instruments, and the judgment behind a published paper. New Atlantic works with originating labs and universities to turn that context into a well-described research asset that can support future scientific agents.
- Collect the materials that explain how the research actually happened
- Preserve the decisions, failures, and intermediate work behind the final result
- Prepare research packages that future scientific agents can learn from
For PIs and labs
Let the work behind your paper shape future scientific discovery.
We help labs identify the data and context around a strong paper, organize it into a coherent package, and translate it into tasks that scientific agents can learn from or be evaluated on. The goal is to preserve the work in a form that is useful beyond the original publication while keeping the PI and originating lab connected to any downstream value.
- Structure datasets, notebooks, code, and intermediate or negative results
- Capture tacit context so the data remains scientifically meaningful
- Build from work the lab already understands deeply
- Create a revenue-sharing path for the university and originating lab
For universities and tech transfer offices
A staged way to make research data useful without losing control.
We start with a narrow non-commercial pilot so the university can define the data package, access boundaries, and review process before negotiating commercial terms. New Atlantic handles packaging, environment design, and buyer readiness, while the institution and lab retain a clear role in permissions, licensing, and revenue share.
Scoped pilot
define the data, access boundaries, and review process before broader rights are considered
Shared upside
keep universities and originating labs connected to downstream licensing value
Pilot model
Designed to move from lab context to research infrastructure.
Structure the asset
Organize the materials into agent tasks with documentation, feedback signals, and evaluation splits.
License if ready
Convert successful pilots into commercial environments with university and lab revenue share.
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