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About SSP Vision

SSP Vision is an enterprise app that provides a new way for mobile workers in utility and telecom companies to capture data about assets in the field, and upload that data to enterprise systems like a GIS (Geographic Information System). SSP Vision uses advanced technologies including computer vision, machine learning and augmented reality to deliver a highly automated and easy to use solution. SSP Vision can be configured to your data capture needs in a flexible way. You will need to set up an account with SSP Innovations to manage features like user authentication and data upload, and to be able to configure the data to be captured. See the marketing link below for more details including contact information for SSP Innovations.

What’s new

Version 5.2.8 · Updated January 12, 2025

Fixes for default value custom function, location blending.

App privacy

The developer, SSP Innovations LLC, reported these privacy practices to Apple.

Data Linked to You

The following data, which may be collected and linked to your identity, may be used for the following purposes:

  • Location: Precise Location
  • Contact Info: Email Address, Name
  • Identifiers: User ID
  • Usage Data: Product Interaction, Other Usage Data
  • Diagnostics: Crash Data, Performance Data, Other Diagnostic Data
  • User Content: Other User Content

Used for: Analytics, App Functionality

Alternatives to SSP Vision

Looking for apps like SSP Vision? Here are 6 similar apps on the App Store. The highest rated is VPie Classic (4.7/5), and all 6 are free to download.

SSP Vision vs. alternatives
App Rating Price Last updated Compare
SSP Vision 5.0 / 5 (4 ratings) Free January 12, 2025
VPie – Free Oct 5, 2026 Compare
VPie Classic 4.7 / 5 (12) Free Oct 12, 2026 Compare
TMEPA Annual Meeting – Free Jul 11, 2025 Compare
TMEPA Fall E&O Conference – Free Sep 22, 2025 Compare
Geo-Resolution 2024 – Free Aug 11, 2024 Compare
FieldLogIQ Classic 3.8 / 5 (10) Free Aug 14, 2025 Compare

Compare SSP Vision with the top alternatives: ratings, updates, ASO score and keyword gaps →