CognitiveView
8.0#1 in ai governance softwareFree planFree planAndroidiOSWebAPI
Visit| Fact | CognitiveView | Yields |
|---|---|---|
| Founded | LinkedIn lists the company as founded in 2022. | 2017 |
| Headquarters | LinkedIn lists headquarters at 200 E 6th St, Suite 230, Austin, Texas 78701, United States. | The Trust Center says Yields is headquartered in the European Union; it does not specify a city or country on that page. |
| Integrations | Listed integrations include AWS, Microsoft Azure, Google Cloud, Databricks, DeepEval, Evidently, AI Fairness 360, Salesforce, ServiceNow, Microsoft and OpenTelemetry. | Yields says it connects with existing data science, MLOps, and enterprise risk infrastructure, and integration partners can connect products through an API connector. |
| Intended users | The 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. | Yields says its software is built for financial institutions and companies relying on predictive models, and its Trust Center also names insurance, public sector, healthcare, and HR among supported sectors. |
| Product | CognitiveView describes itself as an AI governance platform for AI risk, compliance, and responsible AI management. | Yields provides software for AI governance and model risk management, with oversight across traditional models and AI systems. |
| Security certification | CognitiveView states that it has completed ISO 27001. | Yields states it has held ISO/IEC 27001 certification for over four years. |
| Security controls | Security features listed include role-based access, SSO, MFA, secure messaging, separate tenancy and organization data ownership. | The Trust Center says data is encrypted in transit using TLS 1.2+ and at rest using AES-256, with role-based access control and enforced multi-factor authentication. |
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.
Yields is aimed at financial institutions and companies relying on predictive models. It also names insurance, public-sector, healthcare, HR, and other regulated enterprises.