← All servicesSpecializedAI & automation

AI training-data readiness audit

Prepare text or tabular data, schemas, QA samples, and evaluation plans for expert review.

01THE RESULT

A readiness report, cleaned sample, labeling rules, split plan, and risk register.

A practical starting scope

What the work
can include.

01

Schema review

Defined against your inputs, environment, and acceptance criteria before implementation begins.

02

QA sample

Defined against your inputs, environment, and acceptance criteria before implementation begins.

03

Evaluation plan

Defined against your inputs, environment, and acceptance criteria before implementation begins.

The honest boundary

What this does
not pretend.

Client domain experts retain label sign-off; training, deployment, and accuracy guarantees are excluded.

Think this is close to what you need?

Start with the workflow,
not the jargon.

Frame the project