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AIGovernr vs CognitiveView

What both publish

FactAIGovernrCognitiveView
AssuranceIt supports control assessments and tests, technical evaluations, evidence collection, remediation and governance approvals.CognitiveView connects requirements, risks, controls, evaluations and evidence to support evidence-backed authorization decisions.
CertificationThe Trust Center states that it has zero independent certifications and makes no certification claim.CognitiveView states that it has completed ISO 27001.
HeadquartersWilmington, Delaware, United StatesLinkedIn lists headquarters at 200 E 6th St, Suite 230, Austin, Texas 78701, United States.
IntegrationsGoverned connector ingestion is labeled Enterprise Beta; provider-operation exercises remain pending, while repository, CI/CD and public API capabilities are planned rather than released.Listed integrations include AWS, Microsoft Azure, Google Cloud, Databricks, DeepEval, Evidently, AI Fairness 360, Salesforce, ServiceNow, Microsoft and OpenTelemetry.
ProductAIGovernr is an AI governance platform for registering AI systems, managing controls and evidence, resolving risks, recording decisions, and demonstrating ongoing governance.CognitiveView describes itself as an AI governance platform for AI risk, compliance, and responsible AI management.

AIGovernr plans

  • Professional$79 a month
  • Consultancy$299 a month
  • Starter—

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

Pick AIGovernr if…

It suits organizations that need to inventory AI systems, track governance work, and document decisions, as well as consultants managing multiple client projects. Users should account for the stated beta status and scanner limitations.

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.

Charts they share