About Deeploy
Deeploy is the essential AI governance platform designed for organizations scaling artificial intelligence responsibly. It acts as the central nervous system for your entire AI ecosystem, 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 and vendors into a controlled, trustworthy environment. Its core value proposition is enabling businesses to accelerate AI adoption and innovation without exposing themselves to operational, reputational, or regulatory risks. By offering flexible onboarding, real-time explainability, human feedback loops, and comprehensive audit trails, Deeploy ensures every AI system—from traditional machine learning models to complex GenAI applications—is visible, understandable, and compliant with standards like the EU AI Act. It’s the control center that puts you back in the driver's seat, turning governance from a bottleneck into a catalyst for safe, scalable AI growth.
Features of Deeploy
AI Discovery and Onboarding
Gain complete, real-time visibility into your AI landscape from a single, intuitive dashboard. Deeploy automatically discovers and allows you to onboard every AI system across your organization, whether they reside in different MLOps platforms, GenAI tools, or embedded systems. This eliminates dangerous blind spots and creates a centralized registry without forcing you to migrate your existing tech stack, providing immediate control and documentation.
Control Frameworks
Navigate complex AI regulations with confidence using Deeploy’s guided compliance workflows. The platform comes pre-loaded with default control frameworks like ISO 42001 and the NIST AI RMF, or you can build custom ones tailored to your needs. You can classify AI system risk levels in minutes and establish clear accountability with structured approval processes, making compliance straightforward and systematic rather than chaotic.
Control Implementation
Turn high-level governance policies into enforceable, engineer-friendly actions. Deeploy translates frameworks into clear, actionable requirements for development teams and automates up to 90% of compliance work through smart templates and auto-collected evidence. It even uses AI-powered assessments to handle repetitive verification tasks, ensuring governance is practically applied and followed, not just documented.
Real-Time Monitoring and Explainability
Proactively prevent AI incidents with continuous, live monitoring of model performance and outputs. Set instant alerts for model drift, performance drops, or anomalies to catch issues before they impact users. For LLMs, add tracing and guardrails to protect outputs. Crucially, built-in explainability tools help you understand why a model made a specific decision, fostering trust and enabling effective human oversight loops.
Use Cases of Deeploy
Achieving EU AI Act Compliance
Organizations needing to comply with the EU AI Act and other regional regulations use Deeploy as their central compliance hub. The platform’s structured frameworks, risk classification, automated evidence collection, and audit trails streamline the entire process, turning a daunting legal requirement into a manageable, integrated part of the AI lifecycle, significantly reducing time-to-compliance.
Centralizing Oversight for Fragmented AI Portfolios
Large enterprises with AI models scattered across multiple teams, vendors, and platforms use Deeploy to create a single source of truth. It brings all systems into one central registry, providing leadership with the oversight needed to manage risk, allocate resources effectively, and ensure consistent governance standards are applied everywhere, transforming a jungle of systems into a managed portfolio.
Enabling Safe LLM and GenAI Adoption
Companies deploying Large Language Models and Generative AI applications use Deeploy to implement essential safety controls. The platform allows them to monitor LLM outputs in real-time, apply guardrails against harmful or off-brand content, trace the reasoning behind outputs, and integrate human feedback loops. This ensures innovative GenAI use cases can be scaled responsibly.
Accelerating Model Deployment with Governance
ML teams use Deeploy to bake governance directly into the deployment pipeline, cutting down go-live time from weeks to hours. By providing pre-configured compliance templates and automated checks, it removes bureaucratic bottlenecks. Simultaneously, it gives non-technical stakeholders transparency via monitoring dashboards and explainability features, building trust for faster production approval.
Frequently Asked Questions
How does Deeploy connect to our existing AI and MLOps tools?
Deeploy is designed for flexible integration without requiring migration. It offers connectors and APIs to seamlessly onboard and monitor AI systems from a wide range of popular MLOps platforms (like MLflow, SageMaker) and GenAI vendors. This means you can maintain your existing workflows while Deeploy adds the governance layer on top, providing centralized visibility and control.
Can Deeploy handle both traditional ML models and Generative AI?
Absolutely. Deeploy is built as a universal AI governance platform. It provides specific features for different types of AI: performance monitoring and drift detection for traditional ML models, and output tracing, guardrails, and prompt monitoring for Generative AI and Large Language Models (LLMs). This ensures all your AI initiatives, regardless of technology, are under one governance umbrella.
How does the automated evidence collection for compliance work?
Deeploy automates the tedious documentation required for audits. It continuously collects evidence as your AI systems run—logging model versions, performance metrics, approval decisions, monitoring alerts, and human feedback. This data is automatically tagged and linked to specific control requirements in your chosen framework (e.g., EU AI Act), generating ready-to-use audit trails and drastically reducing manual evidence gathering.
Is Deeploy suitable for non-technical users like compliance officers?
Yes, Deeploy’s interface is designed for cross-functional use. While engineers interact with actionable requirements and deployment features, compliance officers and risk managers can use the dashboard to view the AI inventory, check risk classifications, review approval statuses, and access compliance reports without needing deep technical expertise. The platform bridges the gap between technical implementation and governance oversight.
