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BETA · 7 days · $15–25k · ≤50k rows

Dataset Cleanup Rapid

Clean, eval-ready data fast.

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When teams use this pack

Data quality is blocking evals
Labels are inconsistent
No clean test set exists

What you get

Clean diff and validated dataset

CI test set

Class definitions

LLM-assisted relabel proposals

Consensus and acceptance rules

What we need to start

Dataset sample or bucket link
Schema and acceptance rules
PII policy and labeling guide (if any)

We'll confirm inputs during kickoff. If anything is missing, we'll adjust scope before starting.

How the sprint runs

Day 0–1

Kickoff

• <48h start
• Schema validation
• Baseline metrics

Days 2–5

Cleaning

• Automated cleaning
• Expert escalation
• QA validation

Days 6–7

Delivery

• Final validation
• Test set CI ready
• Documentation

SLA & guarantees

SLA

Kickoff within 48 hours
QA gated escalation
On-time delivery ≥95%

Quality guarantee

Clean data validated against acceptance criteria, or we don't deliver.

*Quality thresholds agreed during kickoff.

Example result

50k rows

cleaned and validated

7 days

from kickoff to delivery

Dataset size and complexity vary. We confirm feasibility during kickoff.

Is this pack right for you?

Good fit

Teams building with LLMs
Existing datasets that need cleaning
Teams needing eval-ready test sets

Not a fit

Datasets >100k rows (contact us)
Undefined acceptance criteria
Ongoing labeling (use on-demand experts)

Ready for clean, eval-ready data?

We'll confirm scope and send a one-page plan within 24 hours.