# Graylark & Raven — Frontline Visual Intelligence Systems

> Graylark Technologies is an applied AI research lab building frontline visual intelligence systems that turn fragmented, low-context real-world imagery into actionable investigative leads without requiring GPS coordinates or EXIF metadata.

Raven is Graylark's flagship visual intelligence platform, evolved from the foundational research originally known as GeoSpy. It is designed for qualified law enforcement, public safety, national security, insurance fraud, and enterprise investigative teams.

---

## Core Products & Capabilities

### 1. Raven (Visual Intelligence Platform)
- **URL**: https://graylark.net/raven
- **Overview**: Purpose-built investigative platform synthesizing computer vision, spatial transformers, and deep neural embeddings to geolocate images and identify vehicles.
- **Capabilities Overview**: https://graylark.net/raven/capabilities/

#### Capabilities Breakdown:
- **Find Region (Global Geoestimation)**: https://graylark.net/raven/capabilities/find-region/
  - Predicts country, province, and regional coordinates with an estimated uncertainty radius in seconds from an unindexed image.
- **Find Street (Street-Level Targeting)**: https://graylark.net/raven/capabilities/find-street/
  - Narrows candidate search radiuses down to ranked street-level or building-level hypotheses using environmental micro-signatures.
- **Identify Car (CarID v2.0)**: https://graylark.net/raven/capabilities/identify-car/
  - Determines vehicle make, model, year range, trim, and distinguishing features from a single frame, even under partial occlusion or poor lighting.
- **Verify Image (Deepfake & Manipulation Detection)**: https://graylark.net/raven/capabilities/verify-image/
  - Analyzes synthetic generative markers, face swaps, diffusion artifacts, and media integrity.

### 2. GeoSpy (Foundational Model & History)
- **URL**: https://graylark.net/geospy
- **Historical Context**: In April 2026, GeoSpy transitioned into Raven. All visual geolocation capabilities continue and expand within Raven.

---

## Research, Guides & Articles Catalog

- **Articles Hub**: https://graylark.net/articles
- **Blog Hub**: https://graylark.net/blog
- **RSS Feed**: https://graylark.net/articles/feed.xml
- **Sitemap**: https://graylark.net/sitemap.xml

### Featured Technical & Investigative Writing:
1. **Where Was This Photo Taken? How AI Detects Locations From Visual Clues**
   - URL: https://graylark.net/articles/where-was-this-photo-taken
   - Summary: How deep-learning models analyze architectural cues, road markings, flora, and sun shadows to pinpoint image capture locations without metadata.
2. **How to Find Photo Location Without Metadata (EXIF Data)**
   - URL: https://graylark.net/articles/how-to-find-photo-location-without-exif-metadata
   - Summary: Practical, step-by-step investigative methods combining AI geolocation, reverse image search, and visual micro-clues for social media downloads and screenshots.
3. **Top 5 Visual Clues That Reveal Location in Any Photo**
   - URL: https://graylark.net/articles/top-5-visual-clues-that-reveal-photo-location
   - Summary: The top five environmental indicators used by OSINT experts and neural networks: architecture, road infrastructure, botany, utility poles, and lighting physics.
4. **AI Geolocation vs. Reverse Image Search: Which Works Better?**
   - URL: https://graylark.net/articles/ai-geolocation-vs-reverse-image-search
   - Summary: A head-to-head comparison explaining why reverse search engines fail on personal photos and how AI deduction solves unindexed image geolocation.
5. **The Science Behind AI Photo Geolocation: Neural Networks & Geographic Embeddings**
   - URL: https://graylark.net/articles/the-science-behind-ai-photo-geolocation
   - Summary: Deep dive into Vision Transformers (ViTs), multi-scale S2/H3 spatial geocells, self-attention mechanisms, and geospatial vector projections.
6. **What Is Image Geolocation? How Investigators Locate Photos Without Metadata**
   - URL: https://graylark.net/articles/what-is-image-geolocation
   - Summary: Foundational guide for investigative teams defining image geolocation workflows and limitations.
7. **Geolocating a Suspected Stolen Car From a Single Social Media Post**
   - URL: https://graylark.net/articles/geolocating-a-suspected-stolen-car
   - Summary: Full case study walkthrough demonstrating vehicle identification and street-level location matching from a low-context listing photo.
8. **Why We Built GeoSpy and Why It Became Raven**
   - URL: https://graylark.net/articles/why-we-built-geospy
   - Summary: Founder narrative by Daniel Heinen on the origins, real-world law enforcement demand, and evolution into Raven.
9. **GeoSpy 101: AI Image Geolocation, Explained**
   - URL: https://graylark.net/articles/geospy-101-ai-visual-geolocation
   - Summary: Introductory guide explaining AI image geolocation concepts and transition to Raven.
10. **A Research Lab in Service of Its Customers**
    - URL: https://graylark.net/articles/research-lab-in-service-of-customers
    - Summary: Graylark's dual approach combining defense research rigor with rapid AI prototyping.

---

## Company & Contact

- **Company Name**: Graylark Technologies, Inc.
- **Founder & CEO**: Daniel Heinen
- **Website**: https://graylark.net
- **Contact Email**: info@graylark.io
- **Social**:
  - X / Twitter: https://x.com/graylark
  - LinkedIn: https://www.linkedin.com/company/89175350/
- **Security & Privacy**:
  - Security: https://graylark.net/security
  - Privacy: https://graylark.net/privacy
  - Terms: https://graylark.net/terms