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Zof vs Cobalynx

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

Zof compared with Cobalynx
DetailZof logo ZofCobalynx logo Cobalynx
What it doesIndependent AI verification and production control layer Free AI detector with published error rates
StageNot given Not given
FoundedNot given Not given
Based inNot given IT
Pricing modelFreemium Free
PricingStarter: $166/month ($1,990 billed annually) with 12,000 test runs/month, 3 applications, and validated fixes at $25 each. Team: $833/month ($9,990 billed annually) with 55,000 test runs/month and 10 applications. Business: $2,083/month ($25,000 billed annually) with 165,000 test runs/month, 25 appl No payment required. Free tier allows 10 certification requests per day per IP.
Key features
  • System Graph mapping of services, dependencies, ownership, and policies
  • Verification Engine with 19 verification domains from unit tests to compliance
  • Continuous verification and change detection
  • Policy-based control and approval workflows
  • Durable evidence and audit trails
  • AI-assisted remediation with outcome-based billing
  • Integration with CI/CD, cloud, and observability tools
  • VPC, private cloud, on-prem, and air-gapped deployment
  • Identity-first with RBAC and SSO
  • Secure Enclave Runner for restricted environments
  • Calibrated probability scores with published error rates
  • Inconclusive verdicts for borderline cases
  • Minimum 150 word requirement
  • Content Credentials (C2PA) file checking
  • Document metadata analysis
  • Free human-text certification with downloadable PDF badge
  • No signup or account required
  • Private processing with no data storage
What makes it different
  • Independent verification separates proposing changes from deciding if available evidence is sufficient
  • Model-independent design works with any approved model or deterministic systems alone
  • Outcome-based billing charges only for validated fixes that pass verification
  • Governance by default with explicit approval, audit, and no shared credentials
  • Topology-aware impact analysis using System Graph to recommend validation plans
  • Published error rates with raw counts and confidence intervals
  • Designed to minimize false accusations rather than maximize detections
  • Measures ESL (non-native English) writer accuracy separately
  • Transparent verdicts: reports inconclusive when unsure instead of guessing
Community votes00
DR (Domain Rating by Ahrefs)28 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)52
Citation Flow (Majestic)2013
Referring domains (Majestic)621

5 details filled in for both companies.

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