Veridu vs Orbi

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 Orbi
Detail	Veridu	Orbi
What it does	Verification for code your AI agent writes	File an Issue. Get a release.
Stage	MVP	Not given
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Freemium	Not given
Pricing	Free: $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: 3 merged deliveries (trial, no credit card). Self-hosted open source: free forever. Cloud Solo: US$29/month (monthly) or US$24/month (billed yearly at US$290, save 17%) including 400M tokens/month. Cloud Pro: US$79/month (monthly) or US$66/month (billed yearly at US$790, save 17%) including 1.
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	Isolated worktree for each task Exact-head merge and tagged release Epic and milestone scoping with dependency ordering Recovery from mid-run crashes without restarting Bring your own AI model GitHub-native workflow with branch protection No code upload to infrastructure Automatic Issue drafting from code changes
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	AI code review and repair runs independently from the writer, catching bugs the original agent missed Works unattended when humans are offline, turning Issues into releases without supervision Automatic recovery from crashes using GitHub as source of truth
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	3 +1 (up) since last check	23 +3 (up) since last check
Trust Flow (Majestic)	1	6
Citation Flow (Majestic)	25	29
Referring domains (Majestic)	20	89

4 details filled in for both companies.

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