Deeploy

About Deeploy

Deeploy is the essential AI governance infrastructure designed for organizations scaling artificial intelligence. It transforms AI from a fragmented, high-risk liability into a controlled, compliant, and trusted asset. The platform centralizes oversight, compliance, and monitoring for every AI system across your entire stack, from traditional ML models to cutting-edge GenAI applications. Built for technical teams, compliance officers, and business leaders, Deeploy provides the missing layer of control needed to innovate fast without losing grip. Its core value proposition is enabling rapid, responsible AI scaling by automating governance workflows, providing real-time visibility, and ensuring adherence to standards like the EU AI Act. With Deeploy, you move from a jungle of disconnected, unmonitored AI initiatives to a streamlined, auditable, and fully governed AI ecosystem, dramatically reducing risk while accelerating time-to-value.

Features of Deeploy

AI Discovery and Onboarding

Gain complete, real-time visibility into your entire AI landscape. Deeploy automatically discovers and allows you to onboard every AI system, regardless of where it's built or hosted, into a single central registry. Connect any MLOps or GenAI platform without disruptive migrations, eliminating blind spots and creating a unified source of truth for all AI assets across teams and vendors.

Control Frameworks

Navigate complex AI regulations with confidence and speed. Implement governance using default, pre-built frameworks like ISO 42001 and NIST AI RMF, or create custom ones tailored to your needs. The platform guides you through risk classification, establishes clear accountability with approval workflows, and turns regulatory complexity into straightforward, manageable processes.

Control Implementation

Translate high-level policies into enforceable, engineer-friendly actions. Deeploy automatically assigns specific, actionable requirements to each AI system based on its risk profile. Accelerate compliance by up to 90% with reusable templates and auto-collected evidence, and leverage AI-powered assessments to handle repetitive governance tasks, ensuring policies are actually followed.

Real-Time Monitoring

Proactively prevent AI incidents and performance failures. Monitor model behavior, data drift, and output quality in real-time across all production systems. Set up instant alerts for anomalies or performance drops, and add tracing and guardrails to protect LLM outputs. Catch issues before they impact users or create compliance breaches.

Use Cases of Deeploy

Achieving EU AI Act Compliance

Organizations needing to comply with stringent regulations like the EU AI Act use Deeploy to systematically classify AI system risk, implement required controls, and automatically generate the necessary documentation and audit trails. It turns a complex legal mandate into an operational workflow, ensuring continuous compliance as AI systems evolve.

Centralizing Oversight for Fragmented AI Estates

Companies with AI scattered across multiple teams, cloud providers, and third-party vendors deploy Deeploy to create a single pane of glass for all AI activities. This eliminates shadow IT, provides executives with clear oversight, and ensures consistent governance policies are applied universally, reducing hidden risks.

Enabling Safe LLM and GenAI Adoption

Teams implementing generative AI use Deeploy to add essential guardrails, traceability, and human feedback loops. This allows for rapid innovation with Large Language Models while controlling for hallucinations, bias, and data leakage, making GenAI safe for use in sensitive sectors like healthcare or finance.

Accelerating Model Deployment with Governance

ML teams use Deeploy to integrate governance directly into the deployment pipeline. This shifts compliance left, allowing data scientists to meet audit requirements without slowing down. Models are deployed faster with built-in explainability and monitoring, giving both technical and non-technical stakeholders confidence in production AI.

Frequently Asked Questions

How does Deeploy connect to our existing AI and MLOps tools?

Deeploy is designed as a non-invasive governance layer that integrates seamlessly with your current stack. It offers flexible connectors and APIs to plug into major MLOps platforms (like MLflow, Sagemaker), cloud services, and custom model repositories. You gain centralized oversight without needing to migrate or rebuild your existing AI infrastructure.

Can we customize governance frameworks to match our internal policies?

Absolutely. While Deeploy provides ready-to-use frameworks based on global standards, it is fully customizable. You can modify existing frameworks or build entirely new ones from the ground up to align with your unique corporate policies, industry-specific regulations, or regional requirements beyond the AI Act.

How does the real-time monitoring and alerting work?

Deeploy continuously ingests performance metrics, input data, and output predictions from your live AI systems. It uses predefined and custom rules to detect model drift, data anomalies, and performance degradation. When an issue is identified, instant alerts are sent via your preferred channels (e.g., Slack, email) so your team can investigate and remediate before users are affected.

What kind of audit evidence does Deeploy automatically generate?

The platform automatically creates a comprehensive, tamper-evident audit trail for every AI system. This includes version history, risk assessments, approval records, performance logs, incident reports, and evidence of control implementation. All documentation is centralized and easily exportable for internal audits or regulatory inspections.