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ModelOp vs Cleric

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

ModelOp compared with Cleric
DetailModelOp logo ModelOpCleric logo Cleric
What it doesEnterprise AI system of record for governing and operationalizing AI at scale AI agents that prevent production incidents by verifying changes and investigating alerts
StageEstablished Not given
Founded2018 2023
Based inUS US
Pricing modelContact for pricing Paid
PricingNot given Team $700/month (1,400 credits), Pro $1,500/month (3,000 credits), Scale $3,000/month (6,000 credits), Enterprise custom annual billing. Change verification costs 2 credits ($1), issue investigation costs 10 credits ($5), chat requests 1 credit per started minute after first 30 seconds ($0.50/minute
Key features
  • Centralized system of record across every model, solution, and agent
  • Automated workflows with governance embedded by design
  • Full portfolio visibility into cost, tokens, risk and ROI
  • Dynamic interoperability across 50+ technologies
  • Connective automation for IT, business, and AI owners
  • Agentic-powered framework for end-to-end AI lifecycle workflows
  • Operational intelligence across ML, GenAI, agentic and vendor AI
  • Audit-ready evidence mapped to every regulation and policy
  • Production change verification with up to 14-day monitoring
  • Automated root cause analysis for production issues
  • Fix pull request generation with production evidence
  • Environment graph mapping services and dependencies
  • Alert deduplication and false positive dismissal
  • Operational memory accumulating across investigations
  • Integration with Slack, Microsoft Teams, and web app
  • SOC 2 Type II compliance and read-only by default
  • MCP (Model Context Protocol) server support
  • Custom agents and alert routing
What makes it different
  • Brings ML, GenAI, and agentic AI to production 10× faster
  • System of record that unifies every AI asset in one place
  • Reduces time from idea to production to weeks at industrial scale
  • Enforces policy and governance at delivery time, not in committee
  • Operates above existing systems without replacing them
  • Verifies production changes against real traffic for up to 14 days
  • Hands off fix pull requests with production evidence for review
  • Closes false positives and investigates only real production issues
  • Learns from each fix and compounds knowledge across the team
  • Read-only by default with full audit trails and SOC 2 Type II compliance
Community votes00
DR (Domain Rating by Ahrefs)62 no change since last check47 no change since last check
Trust Flow (Majestic)1311
Citation Flow (Majestic)3936
Referring domains (Majestic)579265

6 details filled in for both companies.

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