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Evaluations

Public boards saturate.Private evals expose the real ceiling.

Lumesage builds hard, contamination-resistant expert evaluations for Chinese AI teams — capability, safety, domain, agents. The point is not a pretty score; it is a failure list that drives the next training pack.

Book a private eval

Why Chinese teams need their own eval layer

Public benchmarks get gamed

Train-set leakage and overfit inflate rankings. Private items count only on first contact.

Expert grading is non-optional

Medicine, law, advanced STEM and operational safety cannot be auto-scored alone.

Evals must feed the Data Engine

Failure modes become the next SFT/RLHF spec — that is the Scale-style loop.

Eval suites

STEM / Agent

Frontier Reasoning

Contest-to-research reasoning, proofs, multi-step tool use.

Medical

Medical Gate

Imaging, pathology, chart synthesis — physician scores + safety bounds.

Alignment

Alignment & Safety

Jailbreaks, harm, hallucination, refusal policy — structured red teams.

Embodied

Physical / Ego

Manipulation success, contact precision, scene transfer for VLA.

How a leaderboard engagement runs

  1. 01

    Align on board and gaps

    Public board, product gate, or internal KPI.

  2. 02

    Build a private set

    Expert authoring, contamination checks, frozen rubrics.

  3. 03

    Blind run & report

    Failure taxonomy, confidence intervals, optional peer compare.

  4. 04

    Feed the Engine

    Order the next training pack from the failure classes.