Workflow context
Connect the initial request, the steps taken and the outcome, so training examples preserve how work gets done.
Experience that gives
AI more to learn from.
Connect model training and evaluation to the workflows, decisions and outcomes of real businesses. Scope data around the capabilities you want to develop.
Discuss your requirements →Go beyond isolated documents.
Domain knowledge
Explore operational guidance, technical documentation and business expertise aligned with your target tasks.
Evaluation material
Define representative scenarios and success criteria to assess reasoning, task completion and response quality.
Built around the capability you want to improve.
Define
Specify the domain, task, format and evaluation objective.
Source & prepare
Identify relevant businesses and agree the rights review, anonymization and preparation required.
Evaluate & refine
Begin with a scoped sample, assess its fit and define the next phase together.
From support resolution to complex operational decisions, the objective is useful context: what happened, what was done and what followed.
Let’s scope your next dataset.
Share your use case and data requirements. We’ll discuss potential sources, preparation needs and a practical path to evaluation.