SPATIAL DIGITAL TWIN · SECTOR 17 BENCHMARK

The physical world is becoming the next data layer.

The internet mapped the digital world. We are reconstructing the physical one.

< $500Rig Cost
< 0.05mAccuracy
500mLoop Closure
3D SplatsNeural Prior
Scroll to explore the spatial corridor
Level 02 · The Spatial Gap Checkpoint

Addresses fail in the final 100 meters.

GPS lands on arterial asphalt. WorldRing routes humans and autonomous machines to the exact door.

Formal Address
120M ERROR
Target:SCO 123-124, Sector 17-C
Pin Drop:Courtyard Rooftop / 120m away
Courier Delay:14 min lost searching
Formal coordinates lack multi-level arcade and courtyard access context.
360° Visual Landmark
< 0.05M GROUND TRUTH
Waypoint 01:Turn left at central fountain plaza
Waypoint 02:Pass between concrete arcade pillars
Waypoint 03:2nd glass entrance on right
Deterministic visual anchors enable zero-delay human & robot arrival.
Level 03 · Continuous Optical Pipeline

Commodity Optical to 3D Neural Twin

Sub-$500 cameras and cloud neural splatting replace $300,000 LiDAR survey fleets.

STAGE 001: Panoramic Capture
Equirectangular projection
LATENCY:30fps 5.7K
HW:Insta360 X4 (< $500)
Level 04 · Dual Value Streams

One 3D Model. Two Massive Markets.

The same optical digital twin simultaneously guides humans and trains autonomous physical AI.

STREAM 01

Human Visual Navigation

Immersive 360° turn-by-turn arrival previews for couriers, shoppers, and campus visitors.

Zero delivery failure in unnumbered plazas
Embeddable lightweight WebGL storefront widget
STREAM 02

Physical AI & Robotics Priors

Metric ground truth, curb heights, and obstacle boundaries for sidewalk delivery rovers and AVs.

Centimeter curb elevations & traversability meshes
Real-time ROS 2 API & simulation synthetic priors
Level 05 · Sector 17 Proving Ground

Chandigarh Field Benchmark

30.7333° N / 76.7794° E · 500-meter loop closure stress-testing Le Corbusier's pedestrian grid.

PILLAR 001< $500

Commodity Optical Rig

Dual-lens 5.7K optical rigs replacing $300k multi-beam LiDAR fleets.

PILLAR 002500m Loop

Metric Loop Closure

Zero odometry drift and sub-5cm metric scale across commercial plazas.

PILLAR 003Real-Time

Automated Segmentation

Extracting walkable sidewalks, curb profiles, and retail entrance portals.

Level 06 · Prototype Round

Capital Allocation & Milestone

A validated end-to-end pipeline capable of turning real-world 360° capture into structured 3D spatial environments across 10 complete urban sectors.

30%
360° Optical Rigs & Sensor Mounts
Panoramic optical rigs, IMUs, GNSS receivers, vehicle & bicycle mounts
40%
Pipeline Engineering & Reconstruction Compute
SfM trajectory solver, Gaussian Splatting compute & semantic vectorization
20%
Field Operations & Sector Ground Surveys
On-the-ground sector scanning, ground control point surveys & verification
10%
Privacy Redaction & Data Governance
Automated on-device blurring of faces, vehicle plates, and private identifiers
“Flat maps destroyed visual reality. The real world has landmark cues, storefronts, and elevations. Building affordable tools to capture and structure physical reality is the most important navigation transition since GPS.”
Independent technical exploration in spatial computing, computer vision, and physical AI systems.
SUMMIT OVERLOOK · SECTOR 17

The physical world is waiting to be understood.

Read Thesis