Forge Pool

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Autonomous Systems Validation ​

Autonomous systems do not fail in the average case. They fail in rare, unstable combinations of perception, environment, and behavior.

These failure modes do not appear in deterministic test libraries. They emerge only when large scenario spaces are explored systematically.

Forge Pool enables that exploration.

The System ​

Autonomous validation is not a simulation problem. It is a scenario-space execution problem.

A system must evaluate:

  • actor behavior variability
  • environmental uncertainty
  • sensor degradation
  • policy instability
  • compound interactions

Not as isolated tests — but as a distribution of possible outcomes.

Execution Shape ​

text
scenario space
    ↓
adapter (policy + environment model)
    ↓
search@1 (scenario mutation / discovery)
    ↓
mc@1 (stochastic execution of scenarios)
    ↓
ensemble@1 (aggregation and confidence)
    ↓
artifacts + replay

Primitive Composition ​

This workload is not a single simulation loop.

It is a composition of primitives:

  • search@1 explores and mutates scenario space

  • mc@1 executes stochastic trajectories

  • ensemble@1 aggregates outcomes into stable distributions

Together, they produce a mapped failure surface, not a pass/fail result.

What Gets Computed ​

Forge does not compute:

  • “will the system pass?”

Forge computes:

  • collision probability distributions
  • failure regions across scenario space
  • policy fragility surfaces
  • edge-case clusters
  • safety envelope boundaries

Output Artifacts ​

text
collision_probability_distribution
edge_case_clusters
policy_fragility_surface
minimum_safety_margin
sensor_failure_sensitivity
ranked_failure_scenarios
replay_token

Every output is:

  • deterministic
  • replayable
  • auditable

Pilot Example ​

ADAS Safety Envelope Execution

Inputs:

  • driving policy
  • sensor degradation models
  • environment distributions
  • traffic behavior models

Execution:

  • 10M+ scenario mutations
  • distributed stochastic trajectory execution
  • deterministic aggregation

Outputs:

  • collision probability distribution
  • discovered failure scenarios
  • safety boundary mapping
  • confidence-aware validation metrics

Why Forge ​

Autonomy validation is limited by scenario coverage.

Forge removes that constraint.

It enables:

  • large-scale scenario exploration
  • reproducible failure discovery
  • distribution-first validation
  • system-level reasoning under uncertainty

This is not a better simulator.

This is an execution layer for safety uncertainty.