Deeploy

About Deeploy

Deeploy is your essential AI governance platform, designed to bring clarity and control to your organization's AI initiatives. In today's fast-paced world, AI systems can be scattered across different teams, vendors, and platforms, creating a complex "jungle" that's hard to manage and risky to scale. Deeploy solves this by providing a central hub for oversight, compliance, and monitoring of all your AI models. It's built for organizations of all sizes that are serious about using AI responsibly, safely, and at scale. Whether you're dealing with traditional machine learning models or the latest generative AI applications, Deeploy helps you meet strict regulations like the EU AI Act, reduce operational risks, and build trust with your customers and stakeholders. Think of it as the missing governance infrastructure for your AI stack, enabling you to innovate faster without losing control.

Features of Deeploy

AI Discovery and Onboarding

Gain complete visibility into your AI landscape from day one. Deeploy helps you discover, onboard, and manage every AI system across your organization in one simple interface. You can connect to any existing MLOps or GenAI platform, eliminating blind spots without the pain of migrating your systems. This feature provides a centralized registry, giving you a single source of truth for all your AI assets and ending the chaos of scattered documentation.

Control Frameworks

Navigate complex AI regulations with confidence and ease. Deeploy offers guided workflows to simplify compliance. You can choose from default, pre-built frameworks like ISO 42001 and the NIST AI RMF, or create your own custom rules. This feature helps you classify the risk level of any AI system in minutes and establishes clear accountability with structured approval processes, turning compliance from a daunting task into a straightforward process.

Control Implementation

Transform high-level governance rules into actionable steps your engineering teams can actually follow. Deeploy automatically translates frameworks into clear, enforceable controls for each AI system. It accelerates compliance by up to 90% using smart templates and auto-collected evidence. This means less manual, repetitive work for your team and more consistent, reliable implementation of your governance policies across all projects.

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 or sudden performance drops. It helps you identify errors and anomalies early. For LLMs, you can add tracing and guardrails to protect outputs. This continuous oversight ensures your AI systems remain reliable, fair, and compliant after they go live.

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 their risk levels, implement necessary controls, and automatically generate the audit trails and documentation required by regulators. This turns a complex legal requirement into a manageable, ongoing process.

Centralizing Oversight for Scattered AI Systems

If your company uses multiple AI models from different vendors or built by various internal teams, Deeploy brings everything together. It creates a unified dashboard where leadership can see what AI is running, where, and how it's performing. This central oversight is crucial for managing risk, allocating resources effectively, and making strategic decisions about your AI investments.

Enabling Safe AI in Sensitive Industries

In critical sectors like healthcare, finance, or mental health services, Deeploy's explainability and human feedback features are vital. It allows experts to understand why an AI model made a specific decision and provide corrective feedback. This creates a responsible feedback loop, ensuring AI supports human experts safely and ethically, which is essential for building trust in high-stakes applications.

Accelerating Model Deployment with Governance

Data science teams can use Deeploy to deploy models faster while automatically embedding governance. Instead of waiting weeks for compliance checks, engineers get clear requirements upfront and can auto-collect evidence during deployment. This significantly reduces time-to-production for new AI initiatives while ensuring they are compliant and monitorable from the very first day.

Frequently Asked Questions

What is AI governance, and why do I need it?

AI governance is the framework of policies, processes, and tools that ensure your AI systems are used responsibly, ethically, and in compliance with regulations. You need it because as AI scales, managing risk manually becomes impossible. Governance helps prevent costly errors, builds user trust, meets legal requirements, and allows you to innovate with confidence, knowing your AI is under control.

How does Deeploy work with our existing AI platforms and tools?

Deeploy is designed to integrate seamlessly with your current setup. It acts as an oversight layer that connects to your existing MLOps platforms (like MLflow, Sagemaker), GenAI vendors, and embedded systems. You don't need to migrate your models. Deeploy discovers them, pulls in relevant data, and adds governance, monitoring, and explainability on top without disrupting your workflows.

Can Deeploy handle both traditional ML models and Generative AI (LLMs)?

Absolutely. Deeploy is built to govern all types of AI systems. For traditional machine learning models, it provides features for monitoring performance, detecting drift, and explaining predictions. For Generative AI and Large Language Models (LLMs), it adds specific capabilities like output tracing, guardrails to prevent harmful content, and monitoring for prompt-based anomalies.

How does Deeploy help with audit trails and documentation?

Deeploy automatically creates a comprehensive, immutable record for every AI system. It logs all activities, model versions, performance data, human feedback, and control implementations. This auto-collected evidence is organized and readily available, making it easy to generate reports and demonstrate compliance during internal or external audits, saving you countless hours of manual documentation.