Deeploy

About Deeploy

Deeploy is the definitive AI governance platform engineered for organizations operating artificial intelligence at scale. It provides the essential infrastructure to transform AI from a fragmented, high-risk endeavor into a controlled, trustworthy, and strategic asset. The platform centralizes oversight, compliance, and monitoring for every AI system across an enterprise, whether built in-house, sourced from vendors, or embedded within applications. Designed for compliance officers, risk managers, and engineering leaders, Deeploy elegantly bridges the gap between stringent regulatory demands—such as the EU AI Act, ISO 42001, and NIST AI RMF—and practical, operational execution. Its core value proposition lies in delivering complete visibility and enforceable control, enabling businesses to accelerate AI innovation confidently while systematically mitigating risk, ensuring transparency, and building enduring trust with stakeholders.

Features of Deeploy

AI Discovery and Onboarding

Deeploy provides complete visibility across your entire AI landscape. It allows you to discover, onboard, and manage every AI system in your organization from a single, unified interface. The platform connects seamlessly with any MLOps or Generative AI platform, eliminating technological blind spots and providing centralized control without the need for costly and disruptive migration projects. This foundational feature creates a centralized registry, turning a jungle of disparate systems into a well-documented, manageable portfolio.

Control Frameworks

Navigate the complex terrain of AI regulations with confidence using Deeploy's guided control frameworks. The platform offers default frameworks aligned with major standards like ISO 42001 and the NIST AI Risk Management Framework, or allows you to build custom ones tailored to internal policies. This feature enables organizations to classify AI system risk levels in minutes and establish clear accountability through structured approval processes, transforming compliance from a theoretical burden into a straightforward, manageable workflow.

Control Implementation

This feature translates governance frameworks into enforceable, engineer-friendly controls. Deeploy automatically assigns the correct requirements to each AI system based on its risk classification, giving technical teams clear and actionable tasks. It accelerates compliance by up to 90% through the use of pre-built templates and automated evidence collection. By leveraging AI-powered assessments to handle repetitive verification work, it ensures governance protocols are not just documented but actively followed and validated.

Real-Time Monitoring

Proactively prevent AI incidents before they impact users or create compliance breaches. Deeploy's real-time monitoring continuously tracks AI performance, model drift, and output anomalies. It provides instant alerts for performance drops and identifies errors proactively. For Generative AI applications, it adds crucial tracing and guardrails to protect LLM outputs. This continuous oversight ensures systems operate as intended and allows for swift intervention, maintaining integrity and trust in live AI deployments.

Use Cases of Deeploy

Enterprise-Wide AI Inventory and Compliance

Large organizations utilizing multiple AI models across different departments and vendors can employ Deeploy to establish a single source of truth. It automates the discovery and documentation of all AI assets, applies the appropriate regulatory framework (e.g., EU AI Act), and manages the entire compliance lifecycle. This use case is critical for regulated industries like finance and healthcare to demonstrate due diligence and maintain an auditable record of all AI systems in production.

Accelerating Safe AI Deployment in Production

Data science and MLOps teams use Deeploy to streamline and secure the path to production. The platform provides the necessary governance guardrails—explainability, monitoring, and feedback loops—as an integrated part of the deployment process. This reduces deployment time from weeks to hours while ensuring each model is launched with built-in oversight, traceability, and performance monitoring, enabling faster iteration without sacrificing control or transparency.

Implementing Human-in-the-Loop Oversight

Organizations in sensitive sectors, such as mental healthcare or social services, leverage Deeploy to implement robust human oversight mechanisms. The platform's explainability features and structured feedback loops allow subject matter experts to review, understand, and validate AI-driven decisions. This use case ensures AI augments human expertise safely, providing the transparency and audit trails necessary to build trust and ensure ethical application in critical decision-making processes.

Proactive Risk Management and Audit Preparation

Risk and compliance officers utilize Deeploy to move from reactive to proactive AI risk management. By setting up real-time monitoring dashboards and automated evidence collection, they can continuously assure AI system performance and compliance posture. This centralized system simplifies internal and external audits by providing ready-made, comprehensive documentation and audit trails, dramatically reducing the manual effort and stress associated with proving compliance during regulatory examinations.

Frequently Asked Questions

How does Deeploy handle AI systems from different vendors and platforms?

Deeploy is designed as a unifying governance layer that sits above your existing AI infrastructure. It offers flexible onboarding with connectors and APIs to integrate with a wide range of MLOps platforms (like MLflow, Sagemaker), cloud AI services, and custom-built applications. This approach provides centralized oversight and control without requiring you to migrate or standardize on a single underlying technology, preserving your existing investments while eliminating visibility gaps.

Can Deeploy help us comply with the EU AI Act specifically?

Absolutely. Deeploy is engineered to help organizations meet the requirements of the EU AI Act and other global regulations. It provides tools to classify AI systems into risk categories (unacceptable, high, limited, minimal), implement the corresponding mandatory controls, maintain detailed documentation, ensure human oversight for high-risk systems, and establish continuous monitoring for post-market surveillance. The platform's guided workflows and automated evidence collection are tailored to simplify adherence to these complex requirements.

Is Deeploy suitable for both traditional machine learning and generative AI?

Yes, Deeploy provides governance capabilities for the entire spectrum of AI. For traditional ML models, it offers features like performance monitoring, model drift detection, and explainability (XAI). For Generative AI and Large Language Models, it extends governance with specific features such as output tracing, content guardrails, prompt monitoring, and chain-of-thought explanation to manage the unique risks associated with non-deterministic, generative outputs.

How does the platform ensure that governance doesn't slow down our AI engineering teams?

Deeploy is built with the principle of "governance that engineers actually follow." It automates the most burdensome aspects of compliance, such as evidence gathering and documentation. By providing engineers with clear, actionable requirements directly in their workflow and using templates, it reduces manual overhead. The result is that governance becomes an integrated, enabling part of the development lifecycle, accelerating time-to-market for compliant AI rather than acting as a bureaucratic bottleneck.