Labelled data for your unique advantage

Expert judgement at the pace of training

NexusIntel staffs domain experts, runs onboarding to your rubrics, and delivers high-quality labelled data for teams that need expert judgement — so your pipeline never waits on expert ops.

Why NexusIntel

Your bottleneck isn't compute. It's labelled data you can trust.

Teams that train and ship AI need expert judgement at scale — math, code, science, law, medicine, and more. Hiring that talent in-house is slow; open marketplaces are noisy.

NexusIntel finds the right experts, onboards them to your rubrics, and ships quality-gated labelled datasets — so training never waits on expert ops.

Products

Three offers. One quality bar.

High-quality labelled data as a moat — pick the shape that fits your stack.

  1. RL datasets

    Preference, reward, and eval sets built for RL pipelines.

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  2. Customer-specific niches

    Domain programmes staffed to your rubrics and edge cases.

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  3. Experts

    Specialists matched and calibrated before a label ships.

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Expert-sourced · Calibrated to your rubrics · Quality-gated before delivery

How it works

From brief to training-ready data

  1. 1

    Scope the task

    You define the domain, rubric, volume, and quality bar.

  2. 2

    Source the experts

    We recruit and vet contributors with the right background.

  3. 3

    Onboard & calibrate

    Rubrics, gold sets, and feedback loops until quality is stable.

  4. 4

    Label & deliver

    Continuous delivery with QA, so data lands when you need it.

For model teams

Built for teams that need labelled data as a moat

RLHF, preference data, expert evals, domain SFT — staffed by people who know the subject. Built for any team whose edge depends on expert judgement at training pace.

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  • Math
  • Code
  • Science
  • Law
  • Medicine
  • RLHF

Ready for labelled data that matches your ambitions?

Tell us what you're training. We'll tell you how fast we can staff it. No self-serve signup — talk to sales.

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