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GeoEvidentpricing, plans and limits

by GeoEvident

GeoEvident is an AI geolocation intelligence platform that identifies locations from photos using computer vision. Designed for OSINT, law enforcement, and investigations. Cloud or on-premise deployment.

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Last updated: 2026-07-01

GeoEvident is a computer-vision platform that identifies where a photo was taken by matching interior furnishings, architecture, signage, and streetscapes across three categories: hotel rooms, apartments, and street scenes. Built for OSINT and law-enforcement casework, it returns ranked candidate locations with visual evidence instead of manual reverse image search.

About GeoEvident

GeoEvident analyzes indoor and outdoor photos to identify where they were taken, matching interior furnishings, architectural details, signage, and streetscapes instead of relying on manual reverse image search or traditional GEOINT techniques. The system returns several ranked candidate locations with supporting visual evidence so an analyst can review, compare, and document a finding for a case file. Every analyst action is logged for chain-of-custody and legal-admissibility purposes, and role-based access control limits what an analyst can see by clearance level or investigation type. GeoEvident runs as a cloud service or as an on-premise install inside restricted, air-gapped networks for classified work. The company has not disclosed its founding year, funding, or team background, which alongside its enterprise-only sales model points to a platform built for institutional and government buyers rather than a self-serve product.

Pricing

Pricing is not publicly disclosed. GeoEvident targets enterprise and government buyers who require custom contracts and deployment options. Contact sales for pricing information.

Key Features

  • AI-Powered Hotel Identification: Analyzes interior photos to match specific hotel properties and identify room types based on furnishings, layouts, amenities, and distinctive design details.
  • Apartment and Rental Verification: Confirms whether imagery corresponds to a claimed address and surfaces likely building locations and candidates for follow-up investigation and verification.
  • Street-Level Location Matching: Identifies outdoor scenes by analyzing streetscapes, signage, architecture, landmarks, and urban context to pinpoint capture locations and nearby candidates.
  • Ranked Candidate Analysis: Returns multiple plausible locations ranked by confidence with supporting visual evidence that investigators can review, compare, and document.
  • Audit Logging and Compliance: Tracks all analyst actions, findings, and case decisions with exportable case reports suitable for legal proceedings and internal oversight.
  • Cloud and On-Premise Deployment: Deploy in cloud for rapid access or on-premise in air-gapped networks for classified workflows and full data control without external connectivity.

Pros

  • Automates location identification from a single image, reducing manual reverse image searching and accelerating investigation timelines.
  • On-premise and air-gapped deployment options support classified and restricted investigations where data cannot be transmitted externally.
  • Audit logging and RBAC support compliance requirements and investigative chain of custody for legal admissibility of findings.
  • Ranked candidate matching with visual evidence supports analyst review and reduces false positives compared to single-point identification.
  • Covers hotel, apartment, and street-level identification in one platform instead of forcing investigators to combine separate single-purpose tools.
  • Built specifically for forensic investigation workflows with case-ready reports and exportable records, not repurposed from consumer location tools.

Cons

  • Pricing and licensing terms are not publicly disclosed, suggesting high cost and complex enterprise sales cycles unsuitable for individual researchers or small teams.
  • Accuracy depends heavily on the presence of distinctive visual cues; generic hotel rooms, blank walls, and low-light photos may yield unreliable results.
  • Accuracy and performance metrics are not published; no independent benchmarks are available to assess reliability against manual reverse image searching.
  • No public API or developer access is mentioned; the platform appears closed, without integration for third-party case management tools.
  • Company founding, funding, and team background are not publicly disclosed, limiting outside ability to assess institutional stability.
  • Built for enterprise and government buyers; there is no consumer-grade access or freemium tier for researchers, journalists, or small organizations.

Frequently Asked Questions

What does GeoEvident actually cost?

GeoEvident does not publish pricing on its website. It sells through direct enterprise and government sales, with custom contracts based on deployment type (cloud vs. on-premise or air-gapped), user count, and support level. Contact their sales team for a quote.

Does GeoEvident have a free plan?

GeoEvident has no free tier or public trial to sign up for. Access goes through direct enterprise and government sales, so individual researchers, journalists, or small organizations without that budget would need to contact the sales team to ask about options.

What are GeoEvident's closest competitors?

There is no direct commercial equivalent for photo-based investigative location matching. The closest adjacent options are satellite and earth-observation intelligence platforms such as Maxar Technologies, ICEYE, and Capella Space, or general GIS and mapping platforms like Mapbox and Esri, though none of these match photos to a specific hotel room, apartment, or street scene the way GeoEvident does. Most investigators without access to a tool like GeoEvident instead combine manual reverse image search with traditional GEOINT analysis.

GeoEvident or Maxar Technologies: which should you pick?

GeoEvident and Maxar Technologies solve different problems: Maxar sells wide-area satellite and earth-observation imagery, while GeoEvident matches a single ground-level photo, an interior, a street scene, a signage detail, to a specific real-world location using computer vision. Investigators reaching for overhead coverage of an area want Maxar; investigators trying to place where one photo was taken want GeoEvident, since no direct commercial equivalent exists for that narrower task.

How do you set up GeoEvident?

GeoEvident has no self-serve signup or free trial; you contact their sales team directly and describe your use case, such as OSINT, law enforcement, or corporate security investigations. From there, GeoEvident works with you to choose cloud or on-premise and air-gapped deployment and set up role-based access for your analysts before onboarding.

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