Deeploy

Deeploy is the essential AI governance platform, designed as the central control center for any organization scaling artificial intelligence. It solves the critical problem of fragmented and ungoverned AI systems by providing the oversight, compliance, and monitoring infrastructure that modern enterprises lack. Built for AI leaders, compliance officers, and engineering teams, Deeploy transforms a chaotic landscape of scattered models, vendors, and embedded AI into a controlled, trustworthy environment. Its core mission is to enable businesses to accelerate AI adoption and innovation without exposing themselves to operational, reputational, or regulatory risks. The platform offers flexible onboarding for any AI system, real-time explainability, human feedback loops, and comprehensive audit trails. This ensures every AI application—from traditional machine learning models to complex GenAI—is fully visible, understandable, and compliant with evolving standards like the EU AI Act. With Deeploy, governance shifts from being a bottleneck to a powerful catalyst for safe, scalable, and responsible AI growth, putting you firmly back in the driver's seat of your AI ecosystem.

AI Discovery and Onboarding

Gain complete visibility and control from day one. Deeploy's interface allows you to discover, onboard, and manage every AI system across your organization in one place. Connect seamlessly to any existing MLOps or GenAI platform to eliminate blind spots, creating a centralized registry without the need for disruptive migration. This feature provides the foundational inventory and documentation needed for true oversight.

Control Frameworks

Navigate complex AI regulations with confidence and simplicity. Deeploy offers guided workflows to make compliance straightforward. Choose from default, pre-built frameworks like ISO 42001 and NIST AI RMF, or create custom ones tailored to your needs. The platform helps you classify AI system risk in minutes and establishes clear accountability with structured approval processes, turning regulatory challenges into manageable tasks.

Control Implementation

Transform policy into practice with governance that engineers will actually adopt. Deeploy turns high-level frameworks into clear, actionable requirements for each AI system. It accelerates compliance by up to 90% using smart templates and automatically collecting evidence. The platform even uses AI-powered assessments to handle repetitive work, ensuring controls are enforced consistently without creating manual overhead for your teams.

Real-Time Monitoring

Proactively prevent AI incidents before they impact your business or compliance status. Monitor AI performance and behavior in real-time across all your systems. Receive instant alerts for critical issues like model drift or performance drops, allowing you to identify errors and anomalies before your users do. For GenAI applications, add tracing and guardrails directly to protect and audit LLM outputs.

Centralized AI Registry for Large Enterprises

For organizations with AI scattered across departments and vendors, Deeploy acts as a single source of truth. It automatically discovers and documents every AI model in use, from embedded systems to cloud APIs. This creates a unified inventory that gives leadership and compliance teams the oversight they need to manage risk and ensure nothing operates in the shadows.

Accelerating EU AI Act Compliance

Companies needing to comply with the EU AI Act and other regulations use Deeploy to streamline the process. The platform's guided workflows help classify AI systems by risk level, apply the correct regulatory requirements, and automatically gather the necessary evidence for audit trails. This turns a months-long compliance project into a structured, manageable operation.

Safe Deployment of Generative AI

Teams implementing LLMs and other generative AI use Deeploy to add essential guardrails. The platform provides real-time monitoring and tracing for LLM outputs, detects harmful or non-compliant content, and enables human-in-the-loop feedback mechanisms. This allows for innovative GenAI applications in sensitive areas, like healthcare or finance, with built-in safety and explainability.

Engineering Empowerment and Faster Deployment

Data science and ML engineering teams use Deeploy to deploy models faster while meeting governance standards. The platform provides clear requirements and automates evidence collection, cutting deployment time from weeks to hours. It gives engineers observability tools and explainability features, fostering trust with both internal stakeholders and end customers.

What types of AI systems can Deeploy manage?

Deeploy is designed as a universal governance layer. It can manage and monitor a wide range of AI systems, including traditional machine learning models, deep learning models, and complex Generative AI (GenAI) applications and Large Language Models (LLMs). It connects to your existing MLOps platforms and vendor APIs, providing a unified view regardless of where or how the AI is run.

How does Deeploy help with the EU AI Act?

Deeploy provides specific tools to navigate the EU AI Act. It offers workflows to help you classify your AI systems into the correct risk categories (unacceptable, high, limited, minimal). Based on the classification, it applies the relevant mandatory requirements, guides you through conformity assessments, and automates the collection of technical documentation and audit trails required for compliance.

Is Deeploy suitable for non-technical users like compliance officers?

Absolutely. Deeploy is built for cross-functional teams. For compliance officers and risk managers, it offers intuitive dashboards, clear risk classifications, and straightforward approval workflows. You don't need to write code to understand what AI is running, its risk level, or its compliance status. The platform translates technical AI details into actionable business insights.

How does the real-time monitoring feature work?

Deeploy's monitoring continuously tracks the performance and behavior of your deployed AI models. It establishes baselines for key metrics and alerts you instantly via your preferred channels (e.g., email, Slack) when it detects anomalies like data drift, concept drift, or significant drops in accuracy. For LLMs, it can monitor outputs for toxicity, privacy violations, or prompt injections, allowing for immediate intervention.