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Veridu vs Kombai

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

Veridu compared with Kombai
DetailVeridu logo VeriduKombai logo Kombai
What it doesVerification for code your AI agent writes AI design engineer for building production-ready frontend
StageMVP Not given
FoundedNot given Not given
Based inUS Not given
Pricing modelFreemium Not given
PricingFree: $0, 20 free reviews per month on public GitHub repos, no card required. Solo: $25/month ($20/month billed annually), includes 20 reviewed changes per month, private repo access, full reviewer catalog. Team: $25/user/month ($20 billed annually, 3 seat minimum), 20 reviewed changes per seat mont Free: 300 credits per month (150 on sign-up, 50 daily); Pro: $20/month with 2,000 credits per month; Team: $40/user/month; Enterprise: Custom pricing
Key features
  • Change-impact analysis showing callers, implementations, and removed code references
  • Two independent reviewers (Codex and Claude) with parallel verification and reconciliation
  • Five surfaces: MCP, CLI, Web, GitHub App, API
  • MCP integration for agent verification before commit
  • GitHub App for automatic pull request reviews
  • Grounded findings with file, line, and evidence for each issue
  • Per-review model selection on paid plans
  • No repository connection required; only files from the agent are read
  • Code review artifact retention and export
  • Context Graphs for semantic code understanding and component reuse
  • Best practices for 400+ frontend libraries and frameworks
  • Native Figma integration with design parsing
  • Plan and Debug modes for complex features
  • Browser-based testing and UI refinement
  • Skills library for frontend development tasks
  • Terminal access and autonomous command execution
  • MCP server integration and parallel agent runs
  • Support for multiple AI models with auto-routing
What makes it different
  • Checks code context outside the diff, not just the change itself
  • Dual independent reviewer reconciliation catches contradictions humans need to judge
  • Only grounded findings block; AI certainty is not enough
  • Does not train on customer code and never will
  • Integrates with coding agents before commit to catch issues early
  • Handles frontend-specific complexity that general-purpose agents struggle with
  • Understands and reuses existing code through semantic Context Graphs
  • Integrated design-to-code workflow with Figma parsing
  • Can test and refine code in a real browser environment
  • Works within existing developer workflows and tech stacks
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check47 −1 (down) since last check
Trust Flow (Majestic)18
Citation Flow (Majestic)2538
Referring domains (Majestic)20659

4 details filled in for both companies.

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