Services

Human expertise, managed for AI delivery.

Choose a capability or start with the business problem. Every engagement combines the right contributors, operating workflow and quality controls.

01

AI response evaluation

Rank, score and critique model outputs against clear, project-specific rubrics.

  • Preference datasets
  • Scored model outputs
  • Critique datasets
02

Data annotation & labelling

Create clean, consistent labels across text, image, audio, video and structured datasets.

  • Labelled datasets
  • Corrected datasets
  • Annotation guidelines
03

RLHF services

Managed human-preference workflows for ranking, scoring, feedback and critique generation.

  • Preference data
  • Scoring datasets
  • Critique and revision data
04

Model safety & quality testing

Test model behaviour across policy, harm, bias, hallucination and difficult edge cases.

  • Test suites
  • Structured findings
  • Failure examples
05

Prompt & answer creation

Build domain-relevant prompts, reference answers and edited instruction datasets.

  • Prompt datasets
  • Reference answers
  • Conversation datasets
06

Expert AI training tasks

Bring coding, mathematics, language and professional-domain judgment into model training.

  • Expert-created datasets
  • Reviewed model outputs
  • Code and tests
07

Freelance workforce management

Recruit, qualify, onboard, allocate and support specialist contributors under one managed programme.

  • Qualified contributor cohorts
  • Onboarding records
  • Allocation plans

Not sure which service fits?

Describe the model outcome and the data challenge.

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