For teams that want a single partner for outputs, NewtonX designs the entire project specifications, recruits and manages SMEs, oversees production and QA, and delivers structured JSON/CSV/API-ready datasets plus QA summaries (accuracy, IAA, disagreements) on a recurring schedule.

We work with your team to align on model improvement goals – whether that’s improving reasoning, reducing hallucinations, strengthening safety, or advancing agent capabilities – and translate those objectives into the right task design, expert criteria, and quality benchmarks to drive measurable gains.

Our Knowledge Graph identifies specialist physicians, engineers, lawyers, financial professionals, and more — then runs multi-step ID and expertise checks (LinkedIn/SSO, document checks, calibration tasks) before they ever touch your data.

In full-service programs, NewtonX manages scheduling, communication, task routing, and cohort performance across your platform or ours — including replacements and scale-ups — so your internal team can stay focused on model development and evaluation.

Every engagement includes structured QA: labeled calibration sets, rubric design, inter-annotator agreement monitoring, spam and outlier rejection, and clear escalation paths for edge cases, with ongoing calibration as tasks and models evolve.

because recruitment, operations, and QA are handled by one team that has spent years perfecting niche expert sourcing at a global scale.

thanks to documented QA processes, clear rubrics, and transparent expert rosters.

by recruiting specialists in rare conditions, niche workflows, and regulated environments where generic raters can’t operate.

via experts who commit to long-running programs, keeping label distributions and standards consistent as your models evolve.