Deeploy

About Deeploy

Deeploy is the essential AI governance platform designed for organizations scaling artificial intelligence. It transforms a fragmented and risky AI landscape into a controlled, compliant, and trustworthy environment. By centralizing oversight, compliance, and monitoring for all AI systems, Deeploy provides the missing governance infrastructure in your AI stack. It is built for enterprises, from financial services to healthcare, that need to deploy AI faster without sacrificing control or exposing themselves to regulatory and operational risks. The core value proposition lies in its cyclical approach: it enables continuous discovery, implementation, monitoring, and improvement of AI governance. This iterative process ensures organizations can not only meet stringent standards like the EU AI Act and ISO 42001 today but also adapt and evolve their governance frameworks as both their AI portfolio and the regulatory landscape change. Deeploy empowers you to build trust, reduce risk, and confidently scale AI initiatives.

Features of Deeploy

AI Discovery and Onboarding

Gain complete visibility and control from day one. This feature allows you to discover, onboard, and manage every AI system across your organization within a single interface. It connects to any MLOps or GenAI platform, eliminating blind spots without requiring painful migrations. You build a centralized, living inventory of all AI assets, establishing the foundational layer for ongoing governance and continuous oversight.

Control Frameworks

Navigate complex regulations with guided, straightforward workflows. Deeploy allows you to choose default frameworks like ISO 42001 and the NIST AI RMF 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 compliance from a theoretical hurdle into a manageable, iterative cycle of assessment and alignment.

Control Implementation

Translate governance policies into enforceable, engineer-friendly actions. This feature provides development teams with clear, actionable requirements for each AI system. It accelerates compliance by up to 90% using pre-built templates and automatically collected evidence. By automating repetitive assessment work, it ensures governance is practically implemented and continuously adhered to, closing the gap between policy and practice.

Real-Time Monitoring

Proactively prevent AI incidents before they impact users or compliance. Monitor AI performance and behavior in real-time with instant alerts for model drift, performance drops, and anomalies. The system adds tracing and guardrails to protect LLM outputs, allowing you to identify and remediate issues swiftly. This continuous feedback loop is critical for maintaining system integrity and trust over time.

Use Cases of Deeploy

Achieving EU AI Act Compliance

Organizations can systematically navigate the requirements of the EU AI Act and other global regulations. Deeploy's guided workflows help classify high-risk systems, implement necessary controls, and automatically generate the audit trails and documentation needed for demonstrating compliance, turning a complex legal challenge into a structured, ongoing process.

Centralizing Oversight for Fragmented AI Portfolios

For companies with AI scattered across different teams, vendors, and embedded systems, Deeploy provides a single source of truth. It discovers all AI assets, centralizes documentation, and applies consistent governance frameworks, transforming a jungle of disconnected systems into a manageable and observable portfolio.

Enabling Safe AI in Regulated Industries

In sectors like healthcare and finance, Deeploy's explainability features and human feedback loops are crucial. It allows experts to understand AI decisions and provide corrective input, paving the way for responsible AI adoption in sensitive applications where safety, transparency, and continuous human oversight are non-negotiable.

Accelerating AI Deployment with Governance

Development teams can deploy models in hours instead of weeks while embedding governance by design. Deeploy provides the observability and control required for both technical and non-technical stakeholders, ensuring rapid iteration does not come at the cost of transparency, risk, or compliance.

Frequently Asked Questions

How does Deeploy help with the EU AI Act?

Deeploy provides a structured platform to manage the entire compliance lifecycle. It helps you inventory AI systems, classify their risk level according to the Act's criteria, implement appropriate technical and documentation controls through guided workflows, and maintain real-time monitoring for ongoing compliance. It automates evidence collection to build the necessary audit trails.

Can Deeploy integrate with our existing MLOps tools?

Yes, a core feature of Deeploy is its flexible integration capability. It is designed to connect with any MLOps or Generative AI platform you already use. This allows you to establish centralized governance and oversight without forcing a migration away from your existing production tools, eliminating blind spots and control gaps.

What is meant by "real-time explainability"?

Real-time explainability means that for each prediction or decision made by your AI models in production, Deeploy can provide insights into the "why" behind that output. This allows subject matter experts to validate decisions, build trust with end-users, and provide critical feedback to improve the model, creating a continuous loop of oversight and refinement.

How does Deeploy reduce the manual burden of governance?

Deeploy automates the most repetitive and time-consuming aspects of governance. It auto-discovers AI systems, auto-collects evidence for controls, provides pre-built templates for common requirements, and uses AI-powered assessments. This can accelerate compliance processes by up to 90%, freeing your team to focus on higher-value strategic oversight and improvement.