GeoSpy
NEXT-GEN OSINT PLATFORM

Uncover the truth in every pixel.

GeoSpy is the premier visual intelligence platform for modern investigations. We analyze raw imagery to uncover hidden signals and deliver precise, actionable location data in seconds—zero metadata required.

SCROLL TO LEARN MORE ABOUT GEOSPY
GEOSPY
GEOSPY WORKSPACE // LIVE SCAN FEED
NEURAL SCAN ACTIVE

INITIALIZING TACTICAL MAP ENGINE...

IDENTIFIEDKyoto, Kansai RegionJapan
COORDINATES35.0116°N, 135.7680°E
RADIUS~80 m
91%MATCH • 4 OF 5 IN REGION
results
Kyoto, Japan
ai prediction
worldwide
street address32 Higashiyama-ku, Kyoto, Japan
latitude35.011636
cityKyoto
longitude135.768029
countryJapan
32 Higashiyama-ku, Kyoto, Japan
location 1 of 391% MATCH
AGENT REASONING
Visual Pattern AgentP2

Identified Japanese Kawara tile roofing patterns, narrow Edo-style alley layout, and Kansai-region electric pole transformers.

Chronolocation ExpertP2

Solar zenith vector calculates ~41.2° elevation angle. Shadow direction matches late afternoon sun exposure in Kyoto basin.

Geo Context AgentP2

Matched Japanese Kanji storefront signage and left-hand traffic street markers with Kansai municipal infrastructure standards.

Cross-Reference AgentP2
91% confidence

Overpass OSM spatial query converged on the Higashiyama historic preservation district, matching street curvature and building outlines.

Synthesis Complete
Add to Case...

Test Your Own Imagery

Upload any photo in the workspace — no EXIF data needed.

Launch Full Workspace

No EXIF metadata required — a single photograph is enough to reconstruct location coordinates.

From one photo to a pinpointed address.

A walkthrough of the GeoSpy workflow — narrowing a single image from a region to an exact street. No metadata, no landmarks.

Built for low-context images.

Street Targeting delivers meter-level precision even when clear landmarks are absent, narrowing broad regions to exact locations in seconds.

TARGET SCENARIO:
INPUTPHONE PHOTO
Low Context Input Photo
Parked vehicle - residential street - no address in frame
GEOSPY - STREET TARGETING

Refines a low-context image into a precise, real-world location using visual signal alignment.

MODEL VIEWDIRECT INFERENCE
$ downsampled - street features
TOP PREDICTION CONFIRMED
GEOSPY WORKSPACE // LIVE SCAN FEED
NEURAL SCAN ACTIVE

INITIALIZING TACTICAL MAP ENGINE...

IDENTIFIEDLas Vegas, NevadaUnited States
COORDINATES36.1043°N, 115.2871°W
RADIUS~80 m
96%MATCH • 1 OF 3 IN REGION
results
Las Vegas Car
ai prediction
worldwide
street address8982 Lillyhammer Court, Las Vegas, NV
latitude36.104270
cityLas Vegas
longitude-115.287130
countryUnited States
8982 Lillyhammer Court, Las Vegas, NV
location 1 of 396% MATCH
AGENT REASONING
Visual Pattern AgentP2

Identified Southwestern US suburban asphalt aggregate, desert fan palm placement, and Nevada-style residential garage setback.

Chronolocation ExpertP2

Solar zenith vector calculates ~52.4° S elevation angle. Shadow direction matches mid-day Nevada summer exposure.

Geo Context AgentP3

Matched Clark County municipal street lighting and Nevada Department of Motor Vehicles registered residential layout.

Cross-Reference AgentP3
96% confidence

High-confidence convergence on Lillyhammer Court in Spring Valley district, Las Vegas.

Synthesis Complete
Add to Case...

Advanced Case Management.

Organize complex operations with our intuitive case dashboard. Visualize intelligence through link-analysis networks, distance ladders, and multi-agent reasoning—all seamlessly integrated into one command center.

GeoSpy Case Management Dashboard

Multi-Agent AI Network.

Cross-Referenced Intelligence. Our architecture doesn't just guess. Multiple proprietary, sandboxed neural nodes process encrypted inputs concurrently to deliver high-confidence, court-ready data without revealing source methodologies.

Visual Pattern Agent

Performs initial high-dimensional feature extraction for architectural and landscape patterns.

OCR & Signage Agent

Conducts deep-layer semantic analysis and localized text extraction from raw pixels.

Geo Context Agent

Correlates isolated variables against global topological and geospatial graphs.

Synthesis Engine

A master arbitrator synthesizes all agent outputs to eliminate false positives and pinpoint locations.

DAEMON // LIVE FEED
ACTIVE
VISUAL
OCR
GEO
SYNTHESIS
Scanning Map Data...
PROCESS: P-904ALAT: 40.7148 / LON: -73.9979

Transparent, Mission-Ready Pricing

Scale your visual intelligence capabilities from solo OSINT research to enterprise defense operations.

Community OSINT

For independent researchers, OSINT hobbyists, and journalists.

$0
/mo, forever free
  • 10 visual geolocation scans / month
  • 2D OpenStreetMap triangulation
  • Basic visual clue extraction
  • Standard processing queue
  • Public community support
Start Free Workspace
MOST POPULAR ANALYST TIER

Pro Analyst

For professional investigators, security analysts, and intelligence teams.

$39
/mo, per month
  • Unlimited visual geolocation scans
  • Interactive 3D MapTiler Globe rendering
  • Deep clue analysis (Sun angle, foliage, signage)
  • Exportable forensic PDF & JSON dossiers
  • Sub-2s priority neural scan queue
  • Classified case log directory & tag overrides
  • Dedicated priority email support
Launch Pro Workspace

Enterprise Defense

For defense organizations, law enforcement, and enterprise security operations.

Custom
billed annually
  • Everything in Pro Analyst
  • On-premise / Air-gapped enclave deployment
  • Zero-retention ephemeral data guarantee
  • Custom AI model fine-tuning on proprietary feeds
  • Granular RBAC & SAML / Single Sign-On (SSO)
  • 24/7 SLA with dedicated intelligence engineer
Contact Intelligence Team

Everything You Need to Know

Got questions about GeoSpy's underlying technology, privacy standards, or deployment models?

GeoSpy uses multimodal deep neural networks trained on global visual terrain datasets. It extracts pixel-level clues — such as sun elevation angle, vegetation and soil profiles, road marking patterns, architectural styles, utility infrastructure, and signage scripts — and cross-references them against global topological maps.