AI TOOL PROFILE

VLX | Digital Audit and Automated Inspection System

VLX helps organizations digitize audit and inspection workflows. It is designed for teams that need to verify field data with multimedia evidence and metadata-based fraud detection.
  • Operations
  • Inspection Software
  • Field inspection teams
  • Compliance and audit managers
  • Organizations requiring offline data capture
  • Businesses in regulated industries

Pricing

Plans start at $29/user/month for the Pro plan (up to 3 users), with a Pro+ plan at $47/user/month (3-20 users). A 15-day free trial is available for all plans.

At a glance

Best for
Field inspection teams, Compliance and audit managers, Organizations requiring offline data capture, Businesses in regulated industries
Key use cases
Field Compliance Audits, Collateral Verification, Workplace Safety Inspections, Quality Assurance Checks, Insurance Claims Adjustment
Integrations
Excel export, CSV export, Public API
Visit vlxvlx software interface screenshot

How AI is used

VLX is a digital audit and inspection platform designed to replace paper-based workflows. It allows field teams to capture photos, videos, and audio evidence, which are then synced to a cloud-based system for reporting and analysis.

The software supports various sectors, including financial institutions, construction, manufacturing, and hospitality. It provides a range of workflows, from free-form note-taking to structured inspections using custom templates.

Key capabilities include KYPiT, an AI layer for detecting potential report tampering, and a mobile-first approach that supports offline data capture in remote areas. This may help ensure that data is collected consistently and verified for authenticity.

Buyers should confirm their specific user count and reporting needs, as features such as API access, advanced branding, and data exports are available on higher-tier plans.

Key Features

  • Multimedia Evidence Capture

    Supports recording and embedding photos, videos, and audio directly within inspections.

  • Custom Form Builder

    Supports the creation of tailored inspection templates with various data entry fields.

  • KYPiT AI Validation

    An AI layer designed to detect potential fraud, tampering, and unauthorized editing of reports using metadata.

  • Offline Data Capture

    Allows inspectors to collect data without an internet connection and sync to the cloud once reconnected.

  • PDF Reporting

    Generates branded PDF reports from captured inspection data.

  • Project-Based Grouping

    Supports organizing multiple related inspections under a single project structure.

  • SOC 2 Type 2 Certification

    Maintains a verified standard for data security and operational excellence.

Use Cases

  • Field Compliance Audits

    Conducting structured audits using custom forms and multimedia evidence to verify compliance.

  • Collateral Verification

    Performing inspections for financial institutions to confirm the condition of assets for lending.

  • Workplace Safety Inspections

    Identifying hazards and documenting safety checks to support workplace safety.

  • Quality Assurance Checks

    Documenting QA processes and product tracing throughout the production cycle.

  • Insurance Claims Adjustment

    Gathering audit-ready evidence to support the claims adjustment process.

Integrations

  • Excel export
  • CSV export
  • Public API

FAQ

Does VLX work without an internet connection?

Yes, the mobile app supports offline use, allowing users to capture data and media locally. Data syncs to the cloud once a connection is restored.

What is the KYPiT feature in VLX?

KYPiT is an AI layer that analyzes metadata to detect potential fraud, tampering, or unauthorized editing of reports.

How does VLX pricing work for different team sizes?

VLX offers a Pro plan for up to 3 users at $29/user/month and a Pro+ plan for 3-20 users at $47/user/month. Enterprise organizations with unlimited users can request custom pricing.

Source category: Operations

Source subcategory: Inspection Software

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