Real-Time Spatial AI + World Modeling Engine

Controllable Spatial AI — Parametric Scene Refinement

Perception → reconstruction → agent reasoning. Precomputed 3D mesh playback with drift correction visualization and LLM spatial query layer.

World GenerationSpatial AIGoverned OutputExplainable PipelineParametric RefinementInstruction-Led EditingDesktop-Friendly

Desktop-friendly: world preview rendering is optimized for larger displays; mobile uses a lighter fallback view.

World Prompt Input

Supports PNG, JPEG, WebP. Max 4MB and 4096px per side.

Generation Pipeline

Perception Layer Input

completed

LiDAR + camera feed ingested at 20 FPS. Spatial parameters parsed: zone=downtown, density=high, policy=safety-first.

Scene Reconstruction

completed

Occupancy grid assembled in 2.7s. Depth map fused across 4 sensor arrays. Mesh surface deviation < 3cm.

World Model Assembly

completed

847 scene objects placed. 12 route corridors defined. Drift correction applied — 74% reduction in mesh displacement.

Agent Spatial Reasoning

completed

4 spatial agents active. LLM spatial query resolved in 623ms: "Identify congestion pinch points in zone B-3."

⏸ Human Review Required

Agent recommends Path Corridor C for last-mile routing. Review the spatial reasoning before authorizing export.

Agent confidence: 94% · Obstacles cleared: 7 · Drift score: 0.12

Governance Check

idle

Policy constraints applied. Accessibility: compliant. 4 safety exclusion zones enforced. HITL checkpoint passed.

Export Ready

idle

GLB export ready. Simulation metadata attached. Trace ID: sp-lingbot-seed-001. Audit trail complete.

Execution Trace

Run generation to produce a traceable world-generation pipeline.

20 FPS Reconstruction74% Drift Reduction4 Spatial Agents Active
Generated World Preview

Generate a world to render the procedural 3D scene preview and export-readiness summary.

Final World Output

Final governed world output appears after generation completes.

Business Value
  • Richer spatial context than flat maps
  • Faster scenario ideation with generated world concepts
  • Simulation-ready planning artifacts with governance checkpoints
  • Policy-aware world generation for safer rollout decisions
  • Instruction-based scene mutation with full audit trail
Governance & Trust Signals

Guardrails enforced

Policy validation active

Human approval checkpoint

Audit trace: Generated on run

Evaluation: review

Parametric schema validation