Services
Services
From raw data collection to expert-graded evaluation, we support every stage of building and validating AI systems.
01 — Data
Dataset Quality Assurance & Moderation
A structured review layer applied to existing or newly collected datasets to identify quality issues, policy violations, labeling errors, and unsafe or non-compliant content before the data is used for training or fine-tuning.
What's included
Typical outputs: Cleaned datasets, QA reports with error taxonomies, moderation logs, and recommendations for pipeline improvements.
02 — Evaluation
AI Model Evaluation & Reasoning Frameworks
Design and execution of evaluation sets that measure how well a model reasons, plans, and uses tools — built and graded by subject-matter experts rather than generic raters.
What's included
Typical outputs: Scored evaluation datasets, calibrated rubrics, grader agreement statistics, and detailed failure-mode analysis.
03 — People
Expert Sourcing for AI Training
Recruitment, vetting, and management of subject-matter experts who contribute data, annotations, and judgments across STEM, the natural sciences, and the humanities.
What's included
Typical outputs: A staffed, quality-controlled expert workforce mapped to your project's exact domain and skill requirements.
Not sure which service fits your project?
We'll help you scope the right mix of data QA, evaluation, and expert sourcing for your goals.