Custom human data collection + evaluation

Data for what happens next

Consequence Labs designs and operates client-specific human-data programs for world models, embodied AI, simulation, and agents.

Designed protocols. Qualified people. Accepted data.

FIG. 01 / INTERVENTION TRACE READY

Turn one difficult model question into an accepted dataset.

A custom data pilot is a bounded engagement designed around one model need. We define the protocol, recruit and qualify the right people, operate collection or evaluation, control quality, and deliver the resulting data in an agreed format.

Some data has to be created

Where does the predicted future stop making sense?

01

Which outcome is physically or behaviorally plausible?

02

What does a person do after an attempted action fails?

03

How does behavior change under a controlled intervention?

04

What would a qualified operator do next—and why?

Start with a measurable question

Three ways to produce the missing signal.

PILOT / 01

Predicted-future evaluation

Qualified reviewers compare rollouts, locate the first implausible transition, classify the failure, and provide structured rationale.

  • Plausibility judgments
  • Failure classifications
  • Evaluation rubrics

PILOT / 02

Failure + recovery data

Produce coherent episodes containing initial conditions, attempted actions, failure modes, corrective actions, and resulting states.

  • Action sequences
  • Recovery behavior
  • Episode metadata

PILOT / 03

Expert action traces

Capture what qualified people observe, what they would do next, what they expect, and how an alternative action changes the result.

  • Decisions + rationales
  • Counterfactuals
  • Structured evidence

A closed-loop program

Designed backward from acceptance.

Every engagement begins with the model decision the data must support, then works backward to the people, interactions, evidence, and controls required.

  1. 01
    Specify

    Define the data unit, protocol, metadata, and acceptance test.

  2. 02
    Qualify

    Recruit and screen the participants or reviewers the task requires.

  3. 03
    Collect

    Operate guided interactions, submissions, or evaluation workflows.

  4. 04
    Control

    Validate, review, reject, retake, and preserve provenance.

  5. 05
    Deliver

    Provide accepted data, structured metadata, and quality documentation.

The dataset you need may not exist yet

What does your model need to learn from people?

Bring us the model behavior, evaluation gap, or dataset you cannot source. We’ll help determine whether it can become a bounded custom data pilot.

Scope a pilot