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Geminus vs AI CodeOps

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

Geminus compared with AI CodeOps
DetailGeminus logo GeminusAI CodeOps logo AI CodeOps
What it doesPhysics-based AI that optimizes complex industrial systems in real time AI coding agents with quality gates that require human approval before merging
StageNot given MVP
FoundedNot given Not given
Based inUS Not given
Pricing modelContact for pricing Free trial
PricingNot given Free during open beta with 2M AI tokens per month on platform models, or unlimited with your own model key. Team plan coming after beta with 20M economy tokens, 5M standard tokens, and 1M premium tokens per month. Enterprise priced per seat with unlimited economy models, 50M standard tokens, and 10M
Key features
  • Physics-native optimization grounded in system physics
  • Multi-fidelity data fusion with real-time feeds
  • Guard railed autonomy with rigorous framework
  • Decision-making under uncertainty with calibrated confidence measures
  • Systems of surrogates for industrial-scale complex systems
  • Auditable workflows with complete chain of evidence
  • Cloud-native with on-premises support
  • REST API and OPC UA integration
  • SOC 2 Type II certified security
  • Deploys in weeks across entire operations
  • Multi-agent workflows with 20+ specialised agents
  • Mandatory human approval gates before merge
  • Quality gates: tests pass, review clear, human approval required
  • Workspace budgets and spend caps
  • Support for GitHub, GitLab, Bitbucket, Gitea and Forgejo
  • Runs in browser with no installation required
  • AI planning phase before code generation
What makes it different
  • Deploys in weeks, not years or months
  • Physics-grounded reasoning beyond historical data patterns
  • Measurable outcomes from day one with $100M+ proven results
  • Uncertainty-aware recommendations operators can trust
  • Operates on mission-critical systems trusted by world's largest energy companies
  • Works with multiple Git hosts including self-hosted instances
  • User code is not used to train AI models
  • Transparent cost tracking with workspace spend controls
  • Browser-based with no installation, sandboxed execution
Community votes10
DR (Domain Rating by Ahrefs)30 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)180
Citation Flow (Majestic)300
Referring domains (Majestic)1410

4 details filled in for both companies.

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