Summary

RedEye is a cloud-based engineering document management system designed for asset-intensive industries. It provides secure version control, audit trails, and collaboration tools for engineering documents, enabling teams to access and manage critical information from anywhere. The platform focuses on compliance, risk reduction, and cost savings through efficient document management.

Features
9/15
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Must Have

3 of 5

Semantic Search

Cloud Storage Integration

Privacy Controls

AI File Chat

Automated Sorting Rules

Other

6 of 10

Manual Approval Workflow

Usage Credits & Quotas

Multi-User Collaboration

Enterprise SSO & Compliance

Centralized Team Billing

Data Encryption & Security

Feedback-Driven Refinement

Demo Mode

Local File Access

Advanced AI Model

Pricing
Tiered
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Basic

$1,333.00 monthly
  • iOS/Android mobile apps
  • OCR Search
  • Unlimited users and groups
  • Advanced search with metadata
  • Onscreen drawing markups
  • Standard workflows

Advanced

$4,000.00 monthly
  • All of Basic, plus
  • Additional standard workflows
  • Dependent & Visual Metadata
  • Custom CAD tag extraction
  • Third-party integrations

Enterprise

$6,666.00 monthly
  • All of Advanced, plus
  • Extended storage
  • Fully customizable workflows
  • PowerBI dashboard
  • Extra API calls
Rationale

RedEye is an engineering document management system (EDMS) that focuses on secure storage, version control, and collaboration for engineering documents. While it offers features like powerful search (semantic-search), cloud-based access (cloud-storage-integration), role-based permissions (privacy-controls, multi-user-collaboration), and compliant workflows (manual-approval-workflow), it lacks the AI-powered chat and automated sorting rules that are core to Dynbox's value proposition. The pricing page indicates usage-based pricing for artifacts (usage-credits-quotas) and offers enterprise plans with SSO and centralized billing (enterprise-integration-sso, centralized-team-billing). Security features like ISO 27001 compliance and data storage in secure AWS servers are mentioned (data-encryption-security). However, the AI-driven file organization and interaction are not present.