Deeploy

About Deeploy

Alright, let's break it down. Deeploy is basically the control center for your AI chaos. Think of it like the ultimate admin panel for all the AI stuff running wild in your company. You know the vibe: you've got AI models scattered everywhere—some from vendors, some your data scientists built, some lurking in random apps. It's a total jungle with zero oversight, which is a one-way ticket to Risk City. Deeploy swoops in and gives you the governance infrastructure your AI stack is desperately missing. It's built for organizations that are actually using AI at scale and are starting to sweat about things like the EU AI Act, model drift, or explaining why their AI made a weird decision. Its main flex? It lets you scale your AI initiatives super fast without losing control or accidentally breaking a bunch of rules. You get a single pane of glass to see, manage, explain, and monitor every AI system, turning a potential compliance nightmare into something you can actually handle. It's for teams that are done with the wild west and ready to build trust in their AI.

Features of Deeploy

AI Discovery and Onboarding

This is your AI detective mode. Deeploy helps you find every single AI model hiding in your tech stack, whether it's on some MLOps platform, a GenAI tool, or baked into an old system. No more blind spots. You can onboard them all into one central registry without having to migrate everything and cause a huge headache. It's basically giving you the complete map of your AI landscape so you know what you're actually dealing with.

Control Frameworks

Navigating AI regulations like the AI Act can feel like reading ancient scrolls. Deeploy translates that legalese into something you can actually use. It comes with pre-built frameworks (like ISO 42001 or NIST AI RMF) so you don't have to start from zero, or you can build your own custom rules. It guides you through classifying how risky each AI system is and sets up approval processes so everyone knows who's accountable. It takes the complexity out of compliance.

Control Implementation

This is where governance stops being a boring rulebook and becomes something engineers will actually follow. Deeploy turns those high-level framework rules into clear, actionable requirements for each AI system. It uses templates and auto-collects evidence to speed things up (like, 90% faster). It even uses AI-powered assessments to handle the repetitive grunt work, so your team isn't stuck doing manual checklists all day.

Real-Time Monitoring

This is your AI's 24/7 bodyguard. Instead of finding out your model is broken from angry users, Deeploy monitors its performance in real-time. It sends instant alerts if it detects model drift, a performance drop, or any funky anomalies. For LLMs, you can add tracing and guardrails to protect their outputs. It's all about preventing AI incidents before they blow up in your face.

Use Cases of Deeploy

Meeting EU AI Act Compliance

For any company operating in or selling to Europe, the AI Act is a big deal. Deeploy is your cheat code. It helps you systematically inventory your AI systems, classify their risk levels, implement the right controls, and automatically gather the audit trail evidence you need to prove you're compliant. It turns a massive regulatory headache into a managed process.

Centralizing Oversight for Fragmented AI

When every department is using different AI tools and vendors, things get messy fast. Deeploy acts as the single source of truth. It brings all those scattered models—from marketing's GenAI to finance's forecasting model—under one roof. This gives leadership actual visibility and control, eliminating blind spots and making governance possible for the first time.

Enabling Safe AI in Sensitive Industries

Think healthcare, finance, or mental health apps (like their customer NiceDay). In these fields, you can't have a "move fast and break things" attitude with AI. Deeploy provides the crucial explainability and human feedback loops needed to understand why an AI made a decision. This allows these organizations to innovate and use AI to help people, but in a responsible, monitored, and safe way.

Accelerating Model Deployment with Confidence

Data scientists want to ship models quickly; legal and compliance teams want to move slowly. Deeploy bridges that gap. By automating governance checks and evidence collection, it can slash the time to deploy a compliant model from weeks down to hours (as their customer Hadrian found). This lets engineering teams move fast without giving the risk team a panic attack.

Frequently Asked Questions

What exactly is AI governance software?

Think of it like the rulebook, referee, and security system for your AI, all rolled into one platform. It's software that helps you keep track of all your AI models, make sure they're running fairly and correctly, check they're following laws (like the EU AI Act), and have proof that you're doing things the right way. It's for managing risk at scale.

Do we have to rip and replace our current AI platforms to use Deeploy?

Nope, that's the best part! Deeploy is designed to connect to your existing MLOps and GenAI platforms. It sits on top of your current tech stack, so there's no need for a painful migration. It discovers and onboard models from where they already live, giving you control without the drama.

How does the "real-time monitoring" actually work?

It's like having a dashboard with a bunch of alarms. Deeploy continuously watches your live AI models, tracking key metrics like accuracy, fairness, and data drift. If something starts to go outside of your set boundaries—like the model's predictions getting weird—it triggers an instant alert to your team so you can fix it before your users even notice.

Is this just for huge enterprises?

Not at all! While it's definitely built to handle the complexity of large organizations running tons of AI, any company that's serious about using AI responsibly and is facing compliance requirements can benefit. The flexible onboarding and frameworks mean you can start governing your AI, whether you have 5 models or 500.