Geospy is an AI-powered visual intelligence platform from Graylark that determines where a photo was taken using the pixels alone. It’s used to turn open-source images into actionable leads for investigations, helping teams quickly narrow location and validate context.

Client

GeoSpy

2024

Position

Lead Product Designer

Team

Daniel Heinen, Raphael, Anastasia Sakharava, Jason Webb, Degreat, Josue Magallanes.

Responsibilites

Product Design

User Resesarch

Design System

Problem

GeoSpy started as a weekend hack—an image-to-location demo the team stitched together quickly. It wasn’t built as a polished product, but it unexpectedly went viral and rapidly became a tool used by 100,000+ people.

Brief

My role was to turn that viral moment into a credible product foundation—redesigning GeoSpy into something elegant and dependable. In parallel, we needed to support professional investigator workflows that could drive real outcomes for people and families.

Goals

Unify

Bring the API, demo upload, and results into a single surface so GeoSpy feels like one product — not a set of disconnected pages.

Actionability

Every result should end with a clear next step, not just a location guess.

Explainability

Make outputs feel credible by showing confidence, supporting signals, and a clear “why” without overwhelming the user.

Repeatable Loop

Turn a one-off demo into a system users return to —upload, interpret, save, and organize.

Standardize Patterns

Turn a one-off demo into a system users return to —upload, interpret, save, and organize.

Geospy is an AI-powered visual intelligence platform from Graylark that determines where a photo was taken using the pixels alone. It’s used to turn open-source images into actionable leads for investigations, helping teams quickly narrow location and validate context.

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