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CognitiveView vs governr

What both publish

FactCognitiveViewgovernr
AI inventoryIts features include inventorying internal and third-party AI tools, including shadow AI.It discovers AI systems, agents, models, datasets, APIs, MCP servers, and vendor tools and workflows with embedded AI.
FoundedLinkedIn lists the company as founded in 2022.2025
HeadquartersLinkedIn lists headquarters at 200 E 6th St, Suite 230, Austin, Texas 78701, United States.London, United Kingdom
IntegrationsListed integrations include AWS, Microsoft Azure, Google Cloud, Databricks, DeepEval, Evidently, AI Fairness 360, Salesforce, ServiceNow, Microsoft and OpenTelemetry.The homepage names AWS, GitHub, Anthropic, Slack, Google Cloud, Okta, OpenAI, Snowflake, Databricks, Vertex AI, Hugging Face, Jira, Salesforce, Azure, Datadog, SAP, BigQuery, and Amazon Bedrock.
Intended usersThe pricing page describes Starter as suited to startups, early AI teams, and first enterprise pilots; Growth targets companies with AI in production and regulated or high-impact use cases.The solutions page lists CROs and boards, compliance and legal, model and third-party risk teams, and AI and technology teams as audiences.
ProductCognitiveView describes itself as an AI governance platform for AI risk, compliance, and responsible AI management.governr describes itself as a read-only AI risk engine for controlled deployment at regulated firms.

CognitiveView plans

  • FreeFree
  • Standard$8 a year
  • Plus$14 a year
  • AI Governance Starter Pack$149, paid once
  • AI Agent Assurance$10,000, paid once
  • Specialized AI Assurance$10,000, paid once

governr plans

No prices published.

Pick CognitiveView if…

CognitiveView suits teams that need to inventory AI tools, assess risk, map systems to governance frameworks, and manage approvals or compliance evidence. Its Starter offering is described for startups, early AI teams, and first enterprise pilots, while Growth targets companies with AI in production and regulated or high-impact use cases.

Pick governr if…

It is aimed at regulated firms and their CROs, boards, compliance and legal teams, model and third-party risk teams, and AI and technology teams. It may suit organizations seeking a read-only inventory and risk view of AI assets.

Charts they share