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Gravitre vs Rigorix

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

Gravitre compared with Rigorix
DetailGravitre logo GravitreRigorix logo Rigorix
What it doesAI operations platform connecting tools, agents, and workflows with governed execution Execution governance for consequential AI-agent operations
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingNode $79/month (1 agent, 1 core user, 2 lite users, up to 10 outputs/month, 3 app integrations). Control $249/month (2-3 agents, 2 core users, 5 lite users, up to 40 outputs/month, 10 Mesons/month, CRM+Outlook integrations). Command $599/month (5-8 agents, 5 core users, unlimited lite users, up to 1 Free engine (MIT/Apache-2.0 open source). Team tier: €1,900/month including 25 writing seats and 50,000 governed actions per month; overage €0.02 per action above 50k monthly. Enterprise: from €90,000/year. Design partner program: €18,000 for 90 days (credited against first annual contract). Add-ons
Key features
  • LLM model selector for OpenAI, Anthropic, Llama with org-level defaults
  • Text-to-workflow builder
  • Native integration with 50+ tools including Salesforce, HubSpot, Slack, Outlook
  • One-click OAuth authentication
  • Real-time agent coordination and handoffs
  • Custom connector SDK for proprietary systems
  • Sandbox testing and deployment simulation
  • GIBE learning and organizational memory
  • Failure predictions and breakage prevention
  • Role-based access control with approval gates
  • Authority revalidation at dispatch time against live conditions
  • Approval binding to canonical intent with single-use, time-bound enforcement
  • Sequence and prerequisite policy enforcement at plan time and runtime
  • Effect identity matching to prevent duplicate actions across runs
  • HMAC-signed, hash-chained, and Ed25519-anchored evidence
  • Cross-session capacity ledger for aggregate exposure control
  • Verifiers in five languages for independent offline verification
  • MCP server support for integration with Claude Code, Cursor, and other agents
  • Air-gapped deployment with documented key ceremony on Enterprise
  • Deterministic Rust enforcement engine with no models in the decision path
What makes it different
  • Shared organizational intelligence instead of isolated AI silos
  • Verified execution with connector health checks before production runs
  • Honest outcome measurement with audit trails, not invented ROI metrics
  • Transparent routing and readiness instead of black-box chain-of-thought
  • Meson system builder to generate agents from plain language requests
  • Authority is revalidated at the moment of execution, not just at approval time
  • Signed, verifiable evidence allows third-party audit without trusting the vendor
  • Deterministic enforcement with no AI models influencing the gate decision
  • Pricing on governed actions, not seats, aligned with consequence not headcount
  • Refusals and verification are never metered or charged
Community votes00
DR (Domain Rating by Ahrefs)1 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)220
Referring domains (Majestic)70

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