01 / SERVICE
Data sourcing.
Find relevant real-world sources for your model, product or research. Define the population, geography, coverage and freshness before selecting the data.
Enterprise data.
Human expertise.
Rust7 connects real-world data and human expertise with teams building better AI. From source discovery to expert-led evaluation, each engagement starts with a clear brief.
02 / SERVICE
Licensing support.
Establish the source owner, available permissions and intended uses. Clarify the rights and restrictions that need to accompany each dataset.
03 / SERVICE
Data preparation.
Turn fragmented information into a usable structure. Scope cleaning, deduplication, formatting and documentation around your team’s workflow.
04 / SERVICE
Annotation.
Define labels, instructions and review criteria with the people who understand the subject. Build context into the annotation process from the start.
05 / SERVICE
Expert-led evaluation.
Bring human judgment to the questions a score alone cannot answer. Agree on evaluation criteria, representative tasks and a documented review process.
Fit for the questionDefine success before
Define success before
you define the dataset.
A useful engagement should begin with acceptance criteria: the required fields, geographic boundaries, acceptable freshness, permitted use and documentation. The brief builder helps you put those requirements on one page.
Start with a better questionWhat will your
Start a data brief What will your
next model need?
Tell us what you’re building. Let’s define the data that could move it forward.