AI training signals & gyms based on human behavioral data

We build real world training signals and gyms that are grounded in mined human behavioral data - for frontier research labs & enterprises.

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Evals & scoring

Evaluations, rubrics & reward models

Evals

Evaluation & verifier suites in customizable schemas for your use cases based on how human experts perform their daily tasks & workflows in the real world.

SFT, DPO, and RLHF

Training signals

SFT, DPO, and RLHF datasets based on mined human behavioral data of how human experts actually perform their daily work in the real world.

Make your models & agents perform in real world production environments

Step 1

Human behavioral data capture

Lanturn mines all raw data of human/domain experts performing their regular day-to-day workflows & tasks.

Workflow 1

1,153 events captured

Step 2

Enrichment & labeling of human behavioral data

Raw human behavioral event data gets turned into structured intelligence.

Enriching..

Step 3

Training signal & RL gym creation

Our platform turns this raw captured human behavioral data + structured intelligence into training ready signals & RL gyms.

  {
  "rubric_type": "score_rubric",
  "task_id": "gdpval-law-enforcement-uas-policy-2025",
  "task_title": "Law Enforcement Drone (UAS) Policy — Score Rubric",
  "version": "1.1",
  "score_scale": [0, 1, 5, 8, 10],
  "columns": [
    { "label": "Unacceptable", "points": 0 },
    { "label": "Poor", "points": 1 },
    { "label": "Acceptable", "points": 5 },
    { "label": "Good", "points": 8 },
    { "label": "Excellent", "points": 10 }
  ],
  "evaluation_instructions": {
    "role": "Policy evaluator or law-enforcement subject matter expert",
    "objective": "Assess the completeness, professionalism, and procedural accuracy of the model-generated police drone policy using a five-tier (0–10 point) qualitative scale. Each level corresponds to increasing policy maturity and compliance with real-world law enforcement manual standards.",
    "scoring_guidance": {
      "10": "Fully professional and adoption-ready. Mirrors exemplary PD policy with no factual or structural errors.",
      "8": "Strong

Start leveraging human behavioral data

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