Silo Data
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For enterprises

Data work, grounded in your use case.

Bring a workflow, a model, or a capability target. We will help define the data problem and the evidence needed to judge progress.

Discuss your use case
An archival computing workspace.

From an operational question to a measurable task.

01

Define the task

Map the inputs, constraints, and expected outputs. Agree what the model is allowed to do and how a reviewer would recognize a useful result.

  • Workflow and requirement mapping
  • Capability targets and failure categories
  • Acceptance criteria and review process
02

Assemble the learning material

Choose examples, feedback, and tool interactions that fit the target behavior. Document the origin and permitted use of each contribution.

  • Expert demonstrations and task variations
  • Preference comparisons and grading criteria
  • Data structure, coverage, and provenance
03

Build the evaluation

Separate development examples from the tasks used to judge performance. Look beyond a single headline score to understand specific strengths and gaps.

  • Held-out task design
  • Repeatable grading and completion checks
  • Error review by task and capability
04

Refine through evidence

Use the observed errors to guide the next data iteration. Keep the connection between the original requirement, the training signal, and the evaluation visible.

  • Targeted additions and revisions
  • Versioned delivery and documentation
  • Clear handoff to your training workflow

Start with the outcome you need.

Tell us which workflow matters, what the current system misses, and how you expect to use the data.

Discuss your use case