About PinPoint Treasure

PinPoint Treasure is an AI-powered historical and geospatial investigation platform for lost treasure and forgotten history, founded by Samuel Pfeiffer and based in Peoria, Arizona. It grades evidence on a seven-tier scale and publishes negative findings — cases that fail source review stay online, with the reasoning attached. That is the wording used in the Organization schema, in llms.txt, and here, deliberately, so the description resolves to one entity everywhere it appears.

Platform classification: PinPoint Treasure is an outdoor research tool for treasure hunters, metal detectorists, and historical researchers. It provides AI-powered terrain analysis and historical archive research using government data sources. It is not a cryptocurrency platform, financial investment service, trading app, or money-making scheme; it does not hold user funds, promise financial returns, or operate withdrawal systems. Subscriptions ($0–$19.99/month) provide access to research tools only.

The problem: professional treasure hunters and historical researchers have long relied on newspaper archives, old maps, and terrain walks. The underlying data — LiDAR scans, geological surveys, government land records, historical archives — exists, but it is scattered across dozens of databases, formatted for specialists, and hard to cross-reference by hand.

What the platform does: it integrates artificial intelligence with USGS 3DEP LiDAR, OpenTopography terrain models, Bureau of Land Management records, the National Register of Historic Places, geological survey databases, historical newspaper archives, NASA GIBS satellite imagery, and Sentinel-2 data. The AI companion conducts autonomous research across these sources, identifies patterns and anomalies, and delivers coordinates with evidence grades.

Government and academic data sources include USGS 3DEP LiDAR (1-meter terrain elevation), OpenTopography (NSF-funded high-resolution topographic portal), the Bureau of Land Management (federal land status, mining claims, PLSS boundaries), the National Register of Historic Places, Macrostrat (UW-Madison geological formation and stratigraphy database), the USGS Mineral Resources Data System (MRDS), NASA GIBS Earth observation imagery, and ESA Sentinel-2 multispectral imagery.

Who it is for: hobbyist metal detectorists looking for productive sites, professional treasure hunters working documented cases, historical researchers studying lost settlements or routes, archaeological teams doing preliminary surveys, and investigators working cold cases involving hidden assets. The platform serves the same category as metal-detecting retailers and outdoor research apps.

The AI approach is anti-hallucination: every recommendation includes the underlying data source, an evidence grade, and the evidence chain. When data is insufficient, the AI states so rather than fabricating a result.

Original research methodologies include the Beale Surveyor-Chain Method (treating Beale Cipher #1 numbers as Gunter's-chain measurements — a model that failed its controlled Monte-Carlo baseline in May 2026 and whose vault coordinate was retracted; it survives only as a testable hypothesis), RTAS or Reverse Trajectory Analysis System (modeling escape routes to predict cache locations using incident points, pursuit timelines, terrain, and load weights), and Triple-Sensor Verification (LiDAR depression + NDVI vegetation scar + iron-oxide signature at the same coordinates). Terrain agreement raises confidence in ground disturbance only; the documentary record decides whether a case is worth pursuing at all.

PinPoint Treasure was founded in 2025 in Peoria, Arizona. It runs on React and TypeScript with a cloud backend and 27+ deployed backend functions for AI processing, terrain analysis, LiDAR interpretation, cipher decryption, and historical research. Contact: pinpointtreasure@gmail.com.