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Vetoo vs Oxyo

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

Vetoo compared with Oxyo
DetailVetoo logo VetooOxyo logo Oxyo
What it doesAgentic AI code review for GitHub and GitLab that reviews every pull request in parallel and never stores your code Cut Claude Code, Codex & Gemini quota burn by 60–72% with persistent AI coding memory and deterministic verification
StageStartup Not given
Founded2026 Not given
Based inEU RO
Pricing modelFreemium Freemium
PricingNot given Explorer: free with 50 MCP calls; Oxyo Core: $19/mo (or $15/mo annually) with ~1.9M tokens/week and 300 MCP calls/week; Oxyo Pro: $49/mo (or $39/mo annually) with ~3.8M tokens/week and 1,250 MCP calls/week; Oxyo Max: $99/mo (or $79/mo annually) with ~7.5M tokens/week and 5,000 MCP calls/week. All pl
Key features
  • Automatic review when pull request or merge request opens
  • Inline findings with severity and suggested fix
  • Multiple AI models reviewed in parallel with reconciled verdict
  • Cross-repository context on every plan
  • Interactive conversation via @vetoo-review mentions
  • Team memory and VETOO.md review instructions
  • Zero source code retention after verdict
  • Support for GitHub and GitLab
  • Context enrichment with Notion, Linear and Slack
  • Learning from team votes and feedback
  • Lifelong persistent memory across sessions retained in an isolated vault
  • Automatic belief revision to eliminate contradicted specifications
  • Deterministic Python sandbox for verified calculations
  • Model Context Protocol integration for IDE connectivity
  • Causal root-cause graph tracking
  • Visual learning from screenshots and diagrams
  • Reusable skill synthesis for algorithmic classes
  • Web console, desktop app, and REST API access
  • Encrypted BYOK vault for Claude, OpenAI, and OpenRouter
What makes it different
  • Panel of multiple frontier AI models review each PR in parallel, no single model decides
  • Code is deleted immediately after review, never stored or trained on
  • Cross-repository checks available on all plans
  • Team learns from feedback with consolidated overnight patterns
  • Focuses exclusively on code review with no extraneous features
  • 60–72% reduction in token quota burn measured on production 112k-token repositories
  • Zero re-sending of context; only ~1k surgical tokens retrieved per turn instead of 50k–200k
  • 100% contradiction-free memory with automatic outdated fact retirement
  • Unified memory across web, browser, and multiple IDEs
  • Model-independent brain; memory portable across AI providers
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)1 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)250
Referring domains (Majestic)210

5 details filled in for both companies.

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