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Geobble vs Modeinspect

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Geobble compared with Modeinspect
DetailGeobble logo GeobbleModeinspect logo Modeinspect
What it doesWeb mapping made intelligent Design canvas with your codebase and agents built in, where design engineers get production-grade output without handoff
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelNot given Freemium
PricingFree (2,000 monthly credits), Pro $25/month billed yearly (30,000 monthly credits), Team $99/month billed yearly (150,000 monthly credits), Enterprise (custom pricing). Credit packs: Boost $12 (10,000 credits), Growth $45 (40,000 credits), Scale $140 (125,000 credits). Hobby: Free with monthly agent limits for personal projects and unlimited connected repositories. Pro: $20 per person per month with extended agent limits, merge-ready PRs, design QA, and priority support. Teams & enterprises: Custom pricing with SSO/SAML, SCIM, SOC 2 Type II, and dedicated support.
Key features
  • Plain-language spatial analysis with AI assistance
  • Import GIS files and PostGIS data
  • Automatic map styling and cartography generation
  • Reviewable AI-assisted workflows
  • Collaborative Studio environment
  • Feature extraction from documents and evidence
  • Source enrichment with additional attributes
  • Interactive map publishing with access control
  • External PostGIS source connections
  • Canvas connected to codebase with code-to-canvas and canvas-to-code workflows
  • Type-safe code generation from design changes
  • Pull request integration for code review
  • Design QA and polish on live product
  • Support for authenticated screens and complex states
  • No developer environment setup required for designers
  • Reuses existing components and design system instead of creating parallel systems
What makes it different
  • One reviewable workflow from raw data to published maps without reducing work to static outputs
  • AI acceleration while preserving GIS control and transparency
  • Designed for mixed technical and non-technical teams
  • Built on open geospatial standards with no vendor lock-in
  • Reusable geographic data and provenance tracking
  • Eliminates design-to-engineering handoff with production-ready code direct from canvas
  • Works directly with real codebase, components, and live data instead of static mockups
  • Type-safe pull requests that engineers want to merge
  • Preserves existing design system with no parallel UI debt
  • Design on the real product surface, not static files like Figma
Community votes00
DR (Domain Rating by Ahrefs)8 +1 (up) since last check26 +1 (up) since last check
Trust Flow (Majestic)46
Citation Flow (Majestic)2632
Referring domains (Majestic)25151

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