Stop blaming the model when an untested layer beneath it breaks in production.
Whether you are shipping an L4 autonomous vehicle stack, a 6-DOF warehouse manipulation policy, or a mission-critical enterprise agent, we separate your Layer 1–2 hardware/sensor physics, Layer 3–5 grounding and protocol mediation, and Layer 6–7 observability and planning—reporting every result with its seed, 95% confidence interval, and SHA-256 checkpoint hash.
World Models & Generative Simulation
Your team's world model produces photorealistic rollout videos for the board—but photorealism is not physical validity. We test whether your generative simulator preserves causal physics and actor geometry over long horizons before you trust it to train or gate your policy.
Physical Consistency & Geometry Conservation
We hunt vanishing obstacles, bounding-box penetration, and non-holonomic kinematic violations using deterministic OBB/SAT geometry checks.
Counterfactual Rollout Fidelity
We verify how your predicted scene responds when the ego policy executes aggressive braking, lane changes, or off-nominal emergency maneuvers.
Sim-to-Real Gap Quantification
We compare your synthetic rollout distributions against your recorded real-world fleet logs (PhysicalAI-AV, nuScenes, AlpaSim .asl) using variance-reduced importance weighting.
What Your Team Receives (Scenario Suite · Report · Regression Gate · Dataset)
- Scenario suite (seed-locked counterfactual rollouts)
- Evaluation report with per-clip OBB clearance & TTC bounds
- Deterministic CI/CD regression gate
- Curated Sim-to-Real divergence dataset & SHA-256 manifest
Vision-Language-Action (VLA) Policies
Your VLA policy outputs both a chain-of-thought explanation and a control trajectory. If your model narrates 'yielding to pedestrian' at Layer 7 while commanding a 15° steering lunge toward the crosswalk at Layer 5, your safety case collapses.
Closed-Loop Task & Route Completion
We measure your route completion, grasp success, and placement accuracy strictly from simulator ground truth across nominal and perturbed episodes.
Reasoning-vs-Action Consistency
We cross-check your policy's verbalized chain-of-thought plans against executed lateral and longitudinal trajectories using deterministic kinematic rules.
Serving Latency Sweeps & Embodiment Transfer
We test how your Layer 4 serving jitter (0–400 ms) and embodiment changes (camera intrinsics, actuator limits) degrade minADE, FDE, and safety margins.
What Your Team Receives (Scenario Suite · Report · Regression Gate · Dataset)
- Scenario suite (closed-loop VLA perturbation episodes)
- Reasoning-action contradiction report (Mode A paused vs. Mode B real-time)
- Deterministic trajectory & latency regression gate
- Matched-seed VLA evaluation dataset
Sensors, Perception & Fault Injection
Your perception stack works in sunny calibration bays and fails at the boundaries of Layer 1 hardware degradation and Layer 2 network packet timing: sensor synchronization skew, low-angle glare, and extrinsic drift.
Camera, LiDAR, Radar & IMU/GNSS Calibration Drift
We inject controlled rotational/translational extrinsic drift and timestamp skew across your Camera, LiDAR, Radar, and IMU/GNSS streams.
Weather, Glare & Dynamic Occlusion
We stress-test your detection and tracking under rain attenuation, particulate dust/sand, solar glare, and blind-spot emergence.
Deterministic Fault Injection & Safe Fallback
We simulate dropped LiDAR sectors, saturated camera frames, and GNSS multipath spikes to verify that your system transitions cleanly to a minimal-risk state.
What Your Team Receives (Scenario Suite · Report · Regression Gate · Dataset)
- Scenario suite (multi-sensor fault-injection schedules)
- Sensor degradation sensitivity report & fault-to-fallback latency trace
- Automated perception regression gate
- Synchronized multi-modal fault replay dataset
Autonomy & Robotics Matched-Seed Suites
When your team swaps a foundation model or updates a planner, you need to know within hours whether the new checkpoint actually improved or merely shifted risk into a different tail scenario.
Curated Scenario Libraries
Structured urban intersections, unprotected turns, highway merges, and 6-DOF manipulation workspaces tailored to your Operational Design Domain (ODD).
Adversarial Edge-Case Mining
We search over actor trajectories, friction coefficients, payload mass scaling, and external force impulses (> 45 N contact limits) to expose boundary failures.
Matched-Seed Checkpoint Comparisons
We run your baseline and candidate checkpoints on identical seed banks so reported deltas reflect true capability gains rather than sampling noise.
What Your Team Receives (Scenario Suite · Report · Regression Gate · Dataset)
- Scenario suite (ODD-mapped edge-case library)
- Matched-seed comparison report with 95% Wilson confidence intervals
- Pre-merge CI/CD regression gate
- Exportable episode replay archive
Multimodal LLMs, Tool-Using Agents, Speech & Subject-Aware Guardrails
When you deploy an autonomous enterprise agent or safety classifier, refusal thresholds alone cannot protect your workflow. A guardrail that drops the Subject ({S, V, O}) either locks out your own incident responders or fails under multi-turn tool calls.
What we test on your stack
Vision-language foundation models, MCP tool-using agents, accented in-cabin ASR/TTS pipelines, and Subject-Verb-Object process-mediated access controls.
Failure modes we hunt
Multi-turn state corruption, visual prompt injection, code-switched ASR hallucinations, and policy incoherence between your safety classifiers and operational business rules.
Layer 6 Observability & Auditability
Full token, tool-call, and decision lineage so no autonomous workflow enters your production environment without an auditable chain of custody.
What Your Team Receives (Scenario Suite · Report · Regression Gate · Dataset)
- Scenario suite (multi-turn agent & guardrail stress bank)
- Evaluation report with 95% confidence intervals & counterexample traces
- Deterministic CI/CD regression gate
- Curated multimodal & acoustic evaluation dataset
Layer 6 Conscience: Strict Epistemic Separation
Level A · Simulator & Hardware Ground Truth
Immutable physical events at Layers 1–2: OBB collisions, Time-to-Collision (TTC), contact forces, and joint limits.
Level B · Deterministic Protocol Detectors
Rule-based kinematic, geometric, and Subject-Verb-Object policy predicates at Layers 5–6 with fixed thresholds.
Level C · Model-Judged Proposals
VLM/LLM root-cause and reasoning-consistency judgments—explicitly labeled MODEL_JUDGED and never allowed to overwrite Level A or B.