Deeploy

About Deeploy

Deeploy is your all-in-one AI governance platform, designed to bring order and trust to the complex world of artificial intelligence. Think of it as the central command center for every AI system in your organization. As AI becomes embedded in more business processes—from customer service chatbots to predictive analytics and generative content—keeping track of it all, ensuring it's working correctly, and proving it's compliant can feel like an impossible task. Deeploy solves this by providing a unified layer of oversight, compliance, and monitoring. It's built for organizations of all sizes that are scaling their AI initiatives and need to manage risk, meet regulations like the EU AI Act, and maintain transparency. With flexible onboarding that connects to any MLOps or GenAI platform, real-time explainability, and automated audit trails, Deeploy transforms AI from a scattered collection of models into a well-governed, trustworthy asset. It empowers both technical teams and business leaders to scale AI faster, with confidence and complete control.

Features of Deeploy

AI Discovery and Onboarding

Gain complete visibility into your AI landscape from day one. Deeploy helps you discover, catalog, and onboard every AI system across your organization into one central registry. You can connect to any existing machine learning or generative AI platform without disruptive migrations, eliminating blind spots. This creates a single source of truth for what AI is running, where, and who owns it, providing the foundational inventory needed for any governance program.

Control Frameworks

Navigate complex AI regulations with ease using Deeploy's guided control frameworks. The platform comes with pre-built templates for major standards like ISO 42001 and the NIST AI RMF, or you can build a custom framework tailored to your internal policies. These frameworks help you classify the risk level of each AI system in minutes and establish clear accountability with structured approval processes, making compliance straightforward and manageable.

Control Implementation

Turn high-level governance policies into enforceable, engineer-friendly actions. Deeploy automatically translates your chosen control framework into clear, actionable requirements for each AI system. It accelerates compliance by up to 90% using smart templates and auto-collecting evidence from your AI pipelines. This feature takes the repetitive, manual work out of governance, ensuring that rules are actually followed by the teams building and deploying the AI.

Real-Time Monitoring

Proactively prevent AI incidents before they impact your users or business. Deeploy monitors AI performance and behavior in real-time, sending instant alerts for issues like model drift, performance drops, or anomalies. For LLMs, you can add tracing and guardrails to protect outputs. This continuous oversight allows you to identify and fix problems early, ensuring your AI systems remain reliable, fair, and effective in production.

Use Cases of Deeploy

Achieving EU AI Act Compliance

For organizations operating in or selling to the European market, Deeploy provides a structured path to compliance with the EU AI Act. It helps you inventory all AI systems, classify them by risk level (prohibited, high-risk, limited risk, minimal risk), implement the required controls for high-risk AI, and automatically generate the necessary documentation and audit trails. This turns a complex regulatory challenge into a manageable, ongoing process.

Centralizing Oversight for Fragmented AI

Many companies find their AI systems scattered across different teams, vendors, and cloud platforms with no unified oversight. Deeploy acts as a central governance layer, bringing everything into one dashboard. This gives CIOs, risk officers, and AI leaders a holistic view, enabling them to manage risk, allocate resources effectively, and ensure consistent standards are applied to every AI application, no matter where it lives.

Enabling Safe AI in Sensitive Industries

In regulated sectors like healthcare, finance, or mental health services, AI must be exceptionally reliable and transparent. Deeploy's real-time monitoring and built-in explainability features allow these organizations to deploy AI with confidence. Clinicians or compliance officers can review the "why" behind an AI's decision, and human feedback loops can be integrated to continuously improve system safety and trustworthiness.

Accelerating MLOps with Governance-by-Design

For AI engineering and MLOps teams, governance is often seen as a bottleneck. Deeploy integrates governance directly into the deployment workflow. By providing clear requirements and automating evidence collection, it allows data scientists to iterate and deploy models faster—sometimes reducing the process from weeks to hours—while automatically building the compliance documentation needed for approval and audit.

Frequently Asked Questions

What types of AI systems can Deeploy manage?

Deeploy is designed to be platform-agnostic. It can govern a wide variety of AI systems, including traditional machine learning models (built on platforms like MLflow, Sagemaker, or Azure ML), third-party vendor AI solutions, and generative AI applications and Large Language Models (LLMs). Its flexible onboarding connects to your existing stack without forcing a migration.

How does Deeploy help with real-time explainability?

Deeploy provides built-in tools that help you understand how your AI models make decisions. For ML models, it can generate feature importance charts and local explanations for individual predictions. For LLMs, it offers tracing to see how an output was constructed. This transparency is crucial for debugging, building trust with end-users, and meeting regulatory requirements for high-risk AI.

Can we customize Deeploy for our internal policies?

Absolutely. While Deeploy offers ready-to-use frameworks for major international standards, its flexibility is a key strength. You can fully customize control frameworks to match your organization's unique internal policies, risk appetite, and industry-specific regulations. You can define your own controls, risk classifications, and approval workflows.

Is Deeploy suitable for a company just starting with AI?

Yes, Deeploy is valuable at any stage of your AI journey. For beginners, it helps establish good governance practices from the start, preventing future technical debt and compliance headaches. It provides the structure to scale AI responsibly. Starting with governance in place is much easier than trying to retrofit it onto dozens of unmanaged AI systems later on.