Domain Data Sprints

Target the exact failures hurting quality

Rapid, focused data generation sprints that produce high-quality training data specifically designed to address your model's weak points. Expert-authored, evaluation-grade datasets your team owns.

SME-authored SFT / preference / reasoning data targeted to your failure modes.

Methodology: Our Sprint Methodology

Rapid, focused data generation that targets exactly what your model needs. Our SME-authored datasets are designed to fix specific failure modes, not just add volume.

  • Failure mode analysis
  • SME-authored examples
  • Multi-layer QA process
  • Iterative refinement

Modules & Capabilities

  • SFT (Instruction Tuning) Packs

    Domain-specific writing and formatting examples

  • Preference / Ranking Data

    Pairwise comparisons aligned to your rubric criteria

  • Reasoning & Decision Data

    Structured justifications with traceable decision logic

  • Prompt + Rubric Library Build

    Foundation artifacts your team reuses across projects

  • Edge-Case Harvesting

    Active search and generation of corner cases

Results: Targeted Model Improvements

Our data sprints deliver measurable improvements in the specific failure modes you care about most, with data your team owns and can reuse.

  • Failure mode reduction
  • Training data ownership
  • Reusable prompt libraries
  • Clear improvement metrics

Deliverables

  • Task spec + schema
  • Training dataset batch + dataset card
  • QA report (defect rate, adjudication outcomes)
  • Next batch recommendations based on failures

Get started with Domain Data Sprints - contact our team for a scoping call.