Synthsis Labs

Judgment

Rankings teach what. Rationales teach why.

Preference pairs, rubrics and evaluations written by credentialed specialists, for post-training and reward models.

See the data

One comparison, with its reasoning.

  1. Prompt

    Derive the propagator for a free scalar field.

  2. Response A

    Flagged. Drops a factor of i in step three.

  3. Response B

    Preferred. Correct, with one unjustified step.

  4. Rationale

    Why B wins, and what would make it complete.

  5. Calibration

    Checked against gold tasks before the batch ships.

An illustrative example, simplified.

Every batch holds

  • Preference pairs with written rationales.
  • Rubrics and evaluations.
  • Expert reasoning, step by step.
  • Red-team findings.

Written by people who do it for a living.

Practicing physicians, attorneys, engineers and accountants, and scientists with doctorates. Credentials are verified and kept on file. Each expert is trained on your rubric and calibrated against gold tasks, and agreement is reported with every batch.

Panels

  • Physics
  • Medicine
  • Law
  • Engineering
  • Accounting

What it trains

  • Reward models
  • Post-training
  • Evaluations and red-teaming

In the marketplace

All of the marketplace

  • Science preference pairs

    Graduate-level problems with ranked model responses, written rationales and step-by-step corrections.

    preference pairs, rationales, error notes

  • Legal reasoning evaluations

    Practicing attorneys scoring contract analysis and case reasoning against a rubric, with written justifications.

    rubric scores, justifications

  • Code review preferences

    Senior engineers ranking model-written patches for correctness, safety and style, with inline comments.

    rankings, inline comments

  • Accounting and audit evaluations

    Accountants scoring model answers on reconciliation, disclosure and audit reasoning.

    rubric scores, gold tasks

  • Clinical decision panels

    Physicians producing preference data on diagnoses and treatment plans, built to your evaluation framework.

    physician panels, preference pairs

  • Red-team panels

    Domain experts probing for confident errors and unsafe advice in high-stakes fields.

    adversarial prompts, failure reports

Need a panel we don’t have?

Send the domain, the rubric and the volume. We’ll stand up a panel to match.