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AI Governance by Decube vs Trusys AI

Trusys AI

7.0#3 in ai governance softwareFrom $69 a month
Free planWebAPISelf-hosted
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What both publish

FactAI Governance by DecubeTrusys AI
DeploymentDecube lists SaaS, single-tenant, and on-premise deployment options, including platform-as-a-service with metadata kept on-premise.Trusys offers a fully managed cloud-hosted service and self-hosted deployment in a customer's data center.
IntegrationsThe integrations catalog lists Snowflake, Databricks Lakehouse, Google BigQuery, Amazon Redshift, dbt, Slack, Microsoft Teams, and Jira, among other connectors.The maker says SaaS agents connect via API, custom agents via SDK, and coding agents via MCP.
Intended usersThe page describes the product as built for regulated AI teams handling sensitive data, including governance, risk and compliance, and data and AI teams.The site identifies AI and ML engineering teams, Chief AI Officers, compliance leaders, CISOs, GRC heads, and platform engineering leads as intended users.
PurposeAI Governance inventories AI systems, classifies risk, enforces guardrails, and helps prove compliance from experimentation through production.Trusys describes itself as an enterprise AI assurance platform for governing and monitoring AI systems.
SupportThe pricing page lists email support for Starter, priority support for Growth, and priority and integration support for Enterprise.The site advertises 24/7 enterprise support; the Professional plan includes priority support and Enterprise includes dedicated support.

AI Governance by Decube plans

  • Starter$175 a month
  • Growth$225 a month
  • EnterprisePriced on request

Trusys AI plans

  • StarterFree
  • Professional$69 a month
  • EnterprisePriced on request

Pick AI Governance by Decube if…

You want what its maker publishes above — check its page for the details.

Pick Trusys AI if…

It is aimed at AI and ML engineering teams, CISOs, Chief AI Officers, compliance leaders, GRC teams, and platform engineering leads responsible for production agents. It may suit organizations seeking evaluation and runtime policy controls for AI systems.

Charts they share