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AR/VR & Spatial Computing

Powering the next generation of immersive experiences with pixel-perfect 3D data and spatial understanding.

Interactive Preview

LIVE
AR/VR Spatial Computing and 3D Asset Annotation Interface
Virtual Screen | Stability: 98%
Mesh: Chair | Confidence: 99.9%
Left Hand | Tracking: Active
Output PreviewJSON
{
  "session_id": "AR_SESSION_442",
  "spatial_mapping": "active",
  "hand_tracking_status": {
    "left_hand": "detected",
    "right_hand": "interacting",
    "gesture": "pinch_zoom"
  },
  "objects_anchored": [
    { "id": "obj_01", "type": "chair_mesh", "stability": 0.99 },
    { "id": "obj_02", "type": "tv_screen", "stability": 0.98 }
  ]
}

Capabilities & Features

  • Spatial MappingEnterprise grade precision
  • 6DoF TrackingEnterprise grade precision
  • 3D Asset CreationEnterprise grade precision
  • Hand & Eye TrackingEnterprise grade precision

Quality Assurance Process

Every project undergoes a rigorous 3-step verification process: Annotator Self-Check, Senior Reviewer Audit, and Automated Consistency Checks. We guarantee 98%+ accuracy on Golden Sets.

Start a Pilot
How it flows

AR/VR & Spatial Computing, as one route

From your raw data to a model-ready dataset, with quality gates you can audit.

  1. Business problem

    Your raw data

    AR/VR & Spatial Computing

  2. VentureSoft thinking

    Guidelines and gold set

    Agreed with your ML team

  3. Technology

    Spatial Mapping

  4. Technology

    6DoF Tracking

  5. Technology

    Three-tier QA

    100% review, golden-set audit

  6. Measured outcome

    Model-ready dataset

    Delivered in your format

Where it is usedSpatial computingDigital twinsTraining simulationsRetail try-on
Engagement

From pilot to production

  1. 1
    Phase 1

    Sample and scope

    Send a sample; we return a labeled subset with QA metrics.

  2. 2
    Phase 2

    Guidelines

    Schema, edge cases, and acceptance criteria versioned together.

  3. 3
    Phase 3

    Pilot batch

    Up to 5,000 annotations through the three-tier workflow.

  4. 4
    Phase 4

    Scale

    Dedicated pod with API delivery into your pipeline.

  5. 5
    Destination

    Continuous improvement

    Gold sets and guidelines evolve with your model.

Start with a pilot dataset

Send us a sample and we will return annotated data with QA metrics within days.