Wireless Integrated Gaussian Live Splatting

Reality,
Reconstructed.

WIGLS turns wireless signals into real-time spatial intelligence — transforming any venue, event, city block, or facility into a living digital twin.

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The Problem

Twins are slow, manual, and expensive.

  • Expensive LiDAR scans and specialized operators
  • Dedicated camera crews and manual photogrammetry
  • Massive processing times before anything is usable
  • Live events vanish the moment they end
  • Physical spaces stay disconnected from digital systems

The Solution

Continuously updating twins, built from signal.

WIGLS fuses WiFi and RF sensing, Doppler analysis, edge computing, and AI-powered Gaussian Splatting into one system that learns and reconstructs environments from the signals already in the air — plus any auxiliary streams available.

The result is a living digital twin that updates in real time, replays on demand, and streams anywhere — turning physical space into spatial intelligence.

How WIGLS Works

Nine layers, one coherent world model.

Signal in, spatial intelligence out. Each layer feeds the next — from raw radio to a photoreal, streamable twin.

01

WiFi Sensing

Channel-state information turned into motion, occupancy, and structure.

02

RF Sensing

Multi-band radio reflections mapped to geometry and material.

03

Doppler Analysis

Velocity and micro-motion extracted from signal phase shifts.

04

Edge Computing

On-site inference nodes process signal locally, in milliseconds.

05

AI Reconstruction

Foundation models infer scene geometry from sparse signal.

06

Neural Rendering

Photoreal views synthesized from learned spatial fields.

07

Gaussian Splatting

Continuously updating 3D splat scenes — light, fast, streamable.

08

Computer Vision

Optional camera streams fused for ground-truth alignment.

09

Sensor Fusion

Every available stream merged into one coherent world model.

Product Stack

One platform. Five deployments.

01

WIGLS LIVE

Real-time event reconstruction.

Customers

Concerts · Festivals · Sporting events · Conferences · Corporate events

Outputs

Live digital twinVR experienceReplay systemAudience analytics
02

WIGLS VENUE

Permanent venue mapping.

Customers

Arenas · Stadiums · Convention centers · Theme parks

Outputs

Crowd-flow analyticsSecurity insightsPersistent digital twinMaintenance intelligence
03

WIGLS CITY

Urban-scale digital twin.

Customers

Municipalities · Transportation authorities · Smart-city programs

Outputs

Block-level twinsMobility analyticsInfrastructure monitoringPlanning simulation
04

WIGLS INDUSTRIAL

Factory & warehouse intelligence.

Customers

Logistics · Manufacturing · Energy facilities

Outputs

Asset trackingProcess monitoringSafety detectionThroughput analytics
05

WIGLS DEFENSE

Persistent situational awareness.

Customers

Defense agencies · Emergency management · Border monitoring

Outputs

Persistent ISR twinThreat detectionDenied-environment sensingMission replay

Technology

A roadmap to signal-native world models.

We ship value at every phase — starting with capture that works today and converging on reconstruction from ambient wireless signal alone.

1

Phase 1

Multi-camera Gaussian capture

Production-grade splat capture from drone and camera arrays — shippable today, building the data engine.

2

Phase 2

WiFi-assisted reconstruction

CSI and RF priors fill occlusions and reduce camera count, cutting capture cost and time.

3

Phase 3

Wireless scene understanding

Models infer geometry, motion, and occupancy from signal alone in instrumented spaces.

4

Phase 4

Near-real-time digital twins

Edge mesh streams continuously updating twins with sub-second latency.

5

Phase 5

Signal-native world models

A spatial foundation model that reconstructs reality directly from ambient wireless signals.

Edge Nodes

Ruggedized sensing + inference units deployed across the space.

Mesh Networking

Self-organizing node fabric for coverage and redundancy.

CSI Processing

Channel-state extraction pipeline at the signal layer.

Doppler Extraction

Phase-derived velocity fields for motion and presence.

AI Inference

Distributed reconstruction across edge and cloud.

Spatial Foundation Models

Pre-trained world models that generalize across venues.

Use Cases

Every space, digitized.

Concerts

Relive the front row from anywhere — a streamable twin of the show.

Festivals

Multi-stage crowd flow, safety, and sponsor-grade engagement analytics.

Sports

Volumetric replays and real-time arena awareness for broadcast and ops.

Factories

Live floor twins for throughput, safety, and predictive maintenance.

Cities

Block-scale mobility and infrastructure twins for planning and response.

Emergency Response

Persistent awareness in denied or hazardous environments.

Investors

Defining a new category: Wireless Spatial Intelligence.

TAM

$280B+

Digital twin, XR, smart city, event tech, robotics & defense — combined, by 2034.

SAM

$42B

Real-time spatial intelligence for events, venues, industry & public safety.

SOM

$600M

Targeted 5-year capture across beachhead verticals.

Competitive landscape

CompanyFocusReal-time liveWireless-native
MatterportStatic 3D scans——
NianticAR maps / VPS——
NVIDIA OmniverseSimulation / authoring——
Unity / UnrealGame & render engines——
HexagonLiDAR / survey——
Bentley SystemsInfra modeling (BIM)——
WIGLSWireless spatial intelligence●●

Incumbents reconstruct space with cameras, LiDAR, or simulation — captured once, authored manually. WIGLS reconstructs space from signal, continuously and live. That is the moat: a proprietary signal-to-scene data engine and spatial foundation models no static-capture competitor is positioned to build.

5-year projection

Y1

$0.4M

6 customers

Y2

$2.1M

22 customers

Y3

$7.5M

70 customers

Y4

$21M

180 customers

Y5

$52M

400 customers

Revenue model

Starter

Self-serve

Single event / pilot capture

  • ›1 active twin
  • ›Cloud replay
  • ›Basic analytics
  • ›Email support

Professional

Per venue

Promoters & venue operators

  • ›Multi-event twins
  • ›VR delivery
  • ›Crowd analytics
  • ›API access

Enterprise

Custom

Stadiums, industry, smart city

  • ›Persistent twins
  • ›Edge mesh deploy
  • ›White-label
  • ›SLAs & SSO

Government

Contract

Defense & public safety

  • ›On-prem / air-gapped
  • ›Denied-env sensing
  • ›Compliance & ATO path
  • ›Dedicated support

Additional revenue: Hardware (edge nodes) · Data licensing · API metering · Analytics packages · White-label licensing.

Go-to-market

Year 1

Live events

Music festivals, concert promoters, venue operators.

Year 2

Venues

Sports organizations and convention centers.

Year 3

Industrial

Logistics, manufacturing, and energy facilities.

Year 4

Smart cities

Municipal and transportation deployments.

Year 5

Defense

Defense, emergency management, and government.

Pre-seed hiring

Founding ML / Spatial AI

Gaussian splatting + neural rendering

RF / Wireless Sensing Lead

CSI, Doppler, signal processing

Edge Systems Engineer

Mesh nodes, real-time inference

Full-stack / Platform

Twin delivery, API, dashboards

Field & Solutions

Festival/venue deployment

GTM / Partnerships

Promoters, venues, gov channels

The Ask

Raising $3M pre-seed.

To build the founding team, ship Phase 1–2 capture, deploy the first edge-mesh pilots at live events, and stand up the signal-to-scene data engine.

Use of funds: ~55% engineering & research · ~25% pilots & hardware · ~20% GTM and operations.

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Pitch outline

  1. 01Vision — reality, reconstructed
  2. 02Problem — twins are slow, manual, expensive
  3. 03Solution — wireless spatial intelligence
  4. 04Product — Live / Venue / City / Industrial / Defense
  5. 05Technology & moat — signal-native world models
  6. 06Market — TAM / SAM / SOM
  7. 07Competition — a new category
  8. 08Go-to-market — events → cities → defense
  9. 09Traction & roadmap — 5 phases
  10. 10Team & founder story
  11. 11Financials — 5-year projection
  12. 12The ask — $3M pre-seed

Market sizing and financial figures are illustrative management projections for planning and discussion, not guarantees of future performance. Forward-looking technology phases describe a development roadmap; capabilities are delivered incrementally.

About

Built from the field.

WIGLS was founded by a media producer with 18 years of global content-creation experience — a background spanning festivals, live events, and immersive storytelling, backed by a working drone network and deep venue relationships.

After watching countless events disappear the moment they ended, the founder set out to build a system that could preserve and reconstruct reality itself — turning the signals already filling every space into living, navigable worlds. WIGLS is the operating system for spatial intelligence.

18 yrs media productionGlobal content backgroundDrone networkVenue & festival relationshipsImmersive storytelling

Contact

Let's reconstruct your world.

Booking a venue, running an event, building a smart-city program, or investing in the category — tell us what you want to see.

Direct: admin@thebaileyperspective.com