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Lifecycle Automation Policy Enforcement Engine Workflow Management Risk Classification Continuous Model Testing See all 
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Lifecycle Automation Automates intake, validation, testing, deployment and retirement tasks to ensure consistent governance across all AI initiatives. Policy Enforcement Engine Executes codified governance rules that automatically enforce compliance, approvals, risk checks, and deployment restrictions. Workflow Management Offers structured, role-specific workflows enabling governance teams, developers, and business units to collaborate efficiently. Risk Classification Automatically classifies AI assets into risk tiers based on organization policies, regulatory criteria, and contextual factors. Continuous Model Testing Runs automated tests for bias, drift, data quality, and performance to maintain reliability throughout production lifecycle. Independent Review Automation Supports independent legal, compliance, or ethics reviews by routing use cases through configurable approval workflows. Production Deployment Controls Applies deployment guardrails such as thresholds, environment restrictions, and approval checks to prevent unsafe releases. Model Monitoring Provides live monitoring of performance, drift, risk, and usage metrics through unified dashboards for all AI applications. Audit Reporting System Creates audit-ready governance reports summarizing control checks, activity logs, decisions, and compliance evidence. AI Governance Scoring Assigns a standardized governance score to each AI use case using configurable, policy-aligned governance assessment criteria. Inventory Search Engine Enables fast retrieval of AI assets using advanced metadata filtering, search parameters, and classification tags. Integration Management Framework Connects with enterprise systems including IT, data, ML tools, GRC platforms, and automation systems through API integration. Agent Governance Framework Provides governance, control, and visibility for agentic AI systems, including behaviors, tools, prompts, and performance. Agent Chat Interaction Layer Enables conversational access to governance data, allowing users to query insights or trigger lifecycle actions via chat. Inline Security Guardrails Applies real-time protections against prompt attacks, data exposure, misuse, and unsafe agent actions using dynamic guardrails. | Brand Name | ModelOp |
| Information | ModelOp is the leading in AI lifecycle management and governance platform, purpose-built for enterprises. |
| Founded Year | 2018 |
| Director/Founders | Pete Foley, Robert Grossman, Stuart Bailey |
| Company Size | 1-100 Employees |
UAE
India