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zipBoard

AI-powered visual review and approval platform for design and construction teams

Cloud-based document management and collaboration software that enables teams to markup, review, and approve content with AI-powered auto-tagging for intelligent task organization and workflow automation across design, construction, and eLearning projects.

$650K raisedGrowth Stage
Founded 2015 · 25,000+ users worldwide; serves major companies in design, construction, eLearning, web development, and creative agencies
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WHY IT EXISTS

Why This Tool Exists

The Problem

Design and construction teams spend hours reviewing and organizing project feedback across multiple platforms, manually tagging issues, and managing approvals. This fragmented process leads to miscommunication, rework, and delayed project timelines as teams struggle to track and prioritize feedback across disciplines and project phases.

The Solution

Provides a centralized visual review platform with AI-powered auto-tagging that automatically categorizes tasks and files based on content analysis. Reduces manual organization time by 40-50% while improving team collaboration through native integrations with Jira, Slack, Procore, and Microsoft Teams, enabling seamless feedback workflows from design through construction.

USAGE

How You Use It

Delivery Method
SaaSWeb AppAPIBrowser Extension
Integrations
JiraSlackWrikeMicrosoft TeamsMicrosoft OutlookZapierLambdaTestProcore
Disciplines
Architecture, Construction
Workflows
Coordination & Delivery
Project Phases
Design Development, Construction Documentation, Bidding/Procurement, Construction Administration
Project Types
Commercial, Residential, Mixed-Use, Infrastructure, Interior Design
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Design files or documents, Team members for review
Optional:Project metadata, Custom tags, Approval workflows, Integration mappings
Formats:PDF, URL, Video files, Image files (JPG, PNG), Website screenshots, Course materials, Zip files
Output
What you get
Format:Centralized review hub with markup annotations, task assignments, and integrated feedback
Fields:Markup annotations with spatial coordinates, Auto-tagged tasks and issues, Assigned reviewers and approval status, Comment threads and feedback history, File-level tags and organization, Workflow status (pending, approved, rejected), Integration data sync to external tools
Algorithm
How it works
Model:Proprietary machine learning and generative AI (specific model architecture not publicly disclosed)
Accuracy:Not publicly specified; user feedback indicates high relevance of auto-generated tags
Privacy
How your data is protected
Retention:Project data retained indefinitely in user account; user-controlled deletion available
Training:Anonymized data used for AI feature development; specific production data training practices not disclosed
Compliance:SSL encryption for data transmission, Weekly and monthly data backups, Compliance with industry-standard security practices (specific SOC 2/ISO 27001 certifications not publicly disclosed)
API
Integration
Endpoint:https://docs.zipboard.co (REST API)
Method:REST (create, update, manage projects, files, tasks, review links, feedback)
USE CASES

Use Cases

  • ·Design review and approval workflows for architectural and interior design projects
  • ·Construction document markup for RFI tracking and issue identification
  • ·eLearning course feedback and approval from instructional designers
  • ·Web design QA and visual feedback from stakeholders
  • ·Marketing asset review and approval across creative teams
  • ·AEC project coordination with automatic task categorization and routing to responsible parties
  • ·Cross-discipline feedback collection during construction documentation phase
PRICING

Pricing

Free
1 project free; 15-day free trial for all paid plans (no credit card required)
Pro
Team plan: $99/month per project (unlimited users per project); Agency plan: $199/month per project
Enterprise
Custom pricing for 3+ projects or custom integrations; contact [email protected]
Sources & Research NotesResearch date: 2026-04-03
Data Sources (14)
Fields Checked (22)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, fundingTotal, input-required, input-optional, input-formats, output-format, output-fields, output-structure, algorithm-approach, control-features, useCases, privacy-location, privacy-retention
Not Found (7)
algorithm-accuracy-metrics, api-rate-limits, data-training-specific-practices, soc2-certification, iso27001-certification, hipaa-compliance, gdpr-specific-commitments
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
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