SupervizeAI
High riskSupervizeAI is a secure, cloud-native AI platform that provides automated QA, coaching, and analytics for contact centers. It ingests call transcripts and audio, applies redaction, multilingual sentiment/emotion analysis, and LLM-driven tagging to deliver insights and performance improvement. Deployed on AWS with encryption, RBAC, and monitoring, it integrates with CCaaS, CRM, and BI tools. The system is built with microservices, containerized, and managed via Kubernetes. Access and data are controlled under SOC 2-aligned policies.
High risk. Significant audit integrity concerns detected. Recommend obtaining an independent compliance assessment before vendor engagement.
Grade: D
Weighted score breakdown
Contribution shows approximate points each dimension adds to the overall score.
Signal distribution by dimension
Shows where risk evidence is concentrated across the audit dimensions.
Top risks
Positive indicators
Company details
- Website
- supervizeai.com
- Legal name
- Supervize AI LLC
- Observation period
- June 3, 2025 - September 3, 2025
- Report types
- SOC 2 Type 2
- Infrastructure
- AWS
Assessment notes
Dimension evidence
Detailed evidence behind each dimension score and its underlying signals.
Signals (3)
- FlagAudit database matchCompany found in leaked database of template-based audit reports
- FlagType 2 report flaggedType 2 reports require observation period testing - template usage is more concerning here
- FlagAuditor credibilityAudit performed by firm flagged for systematic template reuse
Signals (2)
- InfoSingle frameworkSOC 2 report found, from a flagged source
- InfoReport recencyReports dated within Jan-Dec 2025 observation window
Signals (3)
- GoodWeb presenceCompany maintains a public website
- GoodTransport encryptionWebsite configured with HTTPS
- GoodCloud infrastructureHosted on AWS - enterprise-grade infrastructure with native security controls
Signals (3)
- GoodLegal entity identifiedRegistered as "Supervize AI LLC"
- InfoService description availableSystem description found in audit reports
- FlagException reportingZero exceptions reported across all audit periods - statistically improbable, suggests inadequate testing
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