Services

Our Services

Human evaluation and data quality services for AI teams.

LLM Evaluation

Human reviewers assess AI-generated responses against your own rubrics and requirements.

  • Factuality and accuracy review
  • Instruction following
  • Safety review, where defined by your guidelines
  • Rubric-based scoring
  • Relevance to the prompt or task
  • Hallucination detection
  • Pairwise comparison of responses
  • AI-generated code response review

AI Agent and Tool Evaluation

Reviewers check whether agents understand requests, select the right tools, use correct parameters, and complete multi-step tasks properly against your own guidelines and expected behavior.

  • Intent recognition
  • Tool-call correctness
  • Multi-step action review
  • Tool selection accuracy
  • Parameter accuracy
  • Final response accuracy

Data Collection and Annotation

Projects can include text, image, audio, and video data collection and annotation, built to your exact schema and quality requirements.

  • Text annotation
  • Audio annotation
  • Data collection
  • Guideline-based quality checks
  • Image annotation
  • Video annotation
  • Dataset cleaning and formatting

Speech and Multimodal QA

Transcription, speech review, and combined audio, image, video, and text quality work across diverse languages and domains.

  • Transcription
  • Timestamps
  • Speech data review
  • Combined audio, image, video, and text review
  • Speaker labels
  • Filler and non-speech tagging
  • Image and video annotation
How we work

Simple workflow. Clear review points.

1

Guidelines

We first agree on the task rules, examples, edge cases, and quality expectations.

2

Reviewer Work

Our trained reviewers complete the work in small batches using the agreed guidelines.

3

QA Review

A second review layer checks completed batches for errors and consistency before delivery.

Start With a Small Pilot

Evaluate our quality and workflow before committing to a larger project.

Talk to Us