Deeploy

About Deeploy

Deeploy is the essential AI governance infrastructure designed for forward-thinking organizations scaling artificial intelligence. It transforms AI from a fragmented, high-risk endeavor into a controlled, compliant, and trusted strategic asset. The platform centralizes oversight, compliance, and monitoring for every AI system across your organization, whether built in-house, sourced from vendors, or embedded in applications. Deeploy is built for enterprises, regulated industries, and any business serious about leveraging AI at scale without exposing themselves to operational, reputational, or regulatory risks. Its core value proposition lies in replacing chaos with control: it provides complete visibility into your AI landscape, enforces governance frameworks that engineers actually adopt, and delivers real-time monitoring to prevent incidents. By automating evidence collection and providing built-in explainability, Deeploy dramatically accelerates compliance with standards like the EU AI Act, ISO 42001, and the NIST AI RMF, turning governance from a bottleneck into a catalyst for faster, safer, and more responsible AI innovation.

Features of Deeploy

AI Discovery and Onboarding

Gain complete visibility and control from day one. Deeploy automatically discovers and allows you to onboard every AI model and system across your organization into a single, centralized registry. Connect seamlessly to any MLOps or GenAI platform without disruptive migrations, eliminating blind spots and creating a unified source of truth for all AI assets. This foundational feature ensures you know exactly what AI is running, where, and who is responsible for it.

Control Frameworks

Navigate complex regulations with guided simplicity. The platform allows you to implement proven governance frameworks like ISO 42001 and the NIST AI RMF out-of-the-box, or build custom ones tailored to your needs. You can classify AI system risk levels in minutes and establish clear accountability with structured approval processes. This turns abstract compliance requirements into a clear, manageable roadmap for your entire organization.

Control Implementation

Transform policy into enforceable, engineer-friendly action. Deeploy automatically translates governance frameworks into clear, actionable requirements for development teams. It accelerates compliance by up to 90% using pre-built templates and by auto-collecting evidence of control adherence. This feature ensures governance is practical and integrated into the development lifecycle, not a last-minute audit hurdle.

Real-Time Monitoring and Explainability

Proactively protect your AI operations and outputs. Monitor model performance, data drift, and error rates in real-time with instant alerts to catch issues before they impact users. For LLMs, add tracing and guardrails to protect outputs. Crucially, built-in explainability tools provide clear reasoning behind AI decisions, enabling human oversight, building trust, and creating a vital feedback loop for continuous improvement.

Use Cases of Deeploy

Achieving EU AI Act Compliance

Organizations operating in or selling to the EU can use Deeploy to systematically meet the stringent requirements of the AI Act. The platform guides you through risk classification, ensures necessary documentation and audit trails are automatically maintained, and implements required human oversight and transparency measures, turning a complex regulatory challenge into a streamlined, managed process.

Centralizing Governance for Fragmented AI Estates

Enterprises with AI models scattered across different teams, cloud platforms, and third-party vendors use Deeploy to regain control. It creates a centralized inventory and applies consistent governance policies across all systems, providing leadership with the oversight needed to manage risk at scale and make informed strategic decisions about AI investments.

Enabling Safe AI in Regulated Industries

Healthcare, finance, and other highly-regulated sectors leverage Deeploy to deploy AI responsibly. The platform's robust monitoring, explainability, and audit trails ensure AI systems used in critical decision-making are transparent, accountable, and performant, building the necessary trust with regulators, auditors, and end-users.

Scaling MLOps with Governance-by-Design

Fast-growing data science teams use Deeploy to embed governance directly into their MLOps pipeline. By providing engineers with clear requirements and automating evidence collection, it prevents governance from slowing down deployment cycles. This allows companies to scale their number of production AI models rapidly while maintaining compliance and operational integrity.

Frequently Asked Questions

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

Deeploy is built with flexibility in mind. It offers connectors and APIs to onboard and monitor AI systems from any major MLOps platform, cloud AI service, or custom-built environment. You gain centralized oversight without needing to migrate or rebuild your existing AI stack, allowing for a non-disruptive implementation.

Can we customize governance frameworks to match our internal policies?

Absolutely. While Deeploy provides default frameworks based on major standards like ISO 42001 and NIST AI RMF, it is fully customizable. You can modify these frameworks or build entirely custom ones from the ground up to align perfectly with your organization's unique risk appetite, internal controls, and industry-specific requirements.

How does the real-time monitoring actually prevent AI incidents?

Deeploy's monitoring continuously tracks key performance indicators, data drift, and error rates. It allows you to set intelligent thresholds and alerts so that your team is notified the moment a model's behavior starts to deviate from expected norms. This enables proactive intervention—such as retraining a model or disabling an endpoint—before the degraded performance affects business operations or users, preventing minor issues from becoming major incidents.

Is Deeploy suitable for governing generative AI and LLMs?

Yes, Deeploy has specific capabilities for Generative AI and Large Language Models. Beyond standard monitoring, it offers features like output tracing, prompt guardrails, and toxicity detection to control LLM behavior. Its explainability tools also help understand why an LLM generated a specific output, which is crucial for auditability and human-in-the-loop feedback in sensitive applications.