AI Governance Platform

Modulos is the AI governance platform built for teams that need to operationalize EU AI Act compliance, manage AI risk, and prove conformity across regulatory frameworks. As a purpose-built AI governance platform, it simplifies governance, enables quantitative risk management, and makes compliance a natural byproduct — all powered by AI agents.

Four Pillars. One Platform.

Manage AI governance, risk, and compliance from one platform, with AI agents that streamline the work.

Governance

Run AI governance like an operating system

Project dashboards, AI lifecycle tracking, ownership workflows, and complete audit trails.

Project & org dashboardsOwnership workflowsAI lifecycle stages

Risk

Quantify AI risk, allocate budgets, track mitigation

Organization-wide risk overview, taxonomy limits, and risk-to-control mapping.

Risk appetite limitsQuantification methodsExecutive reporting

Compliance

Multi-framework compliance without duplicate work

One control satisfies many frameworks. Evidence browser with full audit trail.

Framework libraryContinuous complianceAudit-ready exports

Agents

Human-in-the-loop AI agents for GRC work

Scout Assistant, evidence automation, control assessments, all with human oversight.

Scout AssistantEvidence triageControl assessments

The Governance Graph

See how frameworks, requirements, controls, and evidence connect. Implement once, satisfy many.

One control satisfies multiple frameworks. One piece of evidence supports multiple controls. No duplicate work.

EU AI Act
ISO 42001
NIST AI RMF
Risk Management
Art. 9
AI System Lifecycle
Clause 6.1
AI Risk Measurement
Measure 2.2
Risk Assessment Process
Model Validation
Performance Monitoring
Risk Register
Test Reports
Audit Logs
Policy Docs
Frameworks
Requirements
Controls
Evidence
3
Frameworks
47+
Requirements
156+
Controls
1
Source of Truth

AI Agents That Do the Work

Human-in-the-loop AI agents automate the heavy lifting while you stay in control.

Scout Assistant

Ask compliance questions in plain English. Scout knows your organization, projects, and where your evidence gaps are.

  • Understands your controls, risks, and compliance status
  • Searches your GitHub, Confluence, Google Drive for evidence
  • Watch reasoning unfold in real-time with source citations
Scout Assistant chat interface showing compliance questions and contextual answers

Control Assessment Agent

Automatically evaluates control implementation and generates comprehensive assessments.

Before
2-4 hours
per control
After
5 minutes
AI + review
  • Readiness scoring with gap identification
  • Prioritized recommendations with citations
Control Assessment Agent showing automated evaluations and gap identification

Evidence Agent

Upload documents and the agent generates metadata, summaries, and control mapping suggestions. You review before accepting.

15-30 min2 minper document

Risk Agent

Automates risk quantification using Fermi estimation. Investigates context, calculates risk values, and audits its own reasoning before delivering results.

Fermi estimationMulti-agent pipeline
Human-in-the-Loop: All AI recommendations require human approval

Easy Integration with your AI Stack

Connect Scout to your docs and repos. Feed operational metrics into runtime testing.

GitHub

GitHub

Code repositories

Bitbucket

Bitbucket

Code repositories

Azure

Azure

Cloud platform

AWS

AWS

Cloud platform

Google Drive

Google Drive

Document storage

Confluence

Confluence

Wiki & documentation

Jira

Jira

Project management

Prometheus

Prometheus

Infrastructure monitoring

Datadog

Datadog

Observability platform

Langfuse

Langfuse

LLM observability

MLflow

MLflow

ML experiment tracking

Jupyter

Jupyter

Notebook analysis

Vijil

Vijil

AI security testing

REST API
Python SDK

Push operational metrics from CI/CD pipelines with the Python SDK. Metrics feed runtime tests that link directly to controls.

pip install modulos-client
from modulos_client.testing import log_metric

# Push a fairness metric from your CI pipeline
log_metric(
    metric_id="demographic_parity",
    value=0.92,
    project_id="loan-approval-model"
)

Runtime Inspection

Verify that controls hold in production. Every test result links to the control it validates and becomes audit-ready evidence.

Metric-Based Tests

Set pass/fail conditions on operational metrics from Prometheus, Datadog, AWS CloudWatch, and other sources. Tests run on schedule — daily, weekly, or monthly — and failures notify control owners automatically.

Threshold checksScheduled runsAuto-notification

Agentic Runtime Inspection™

Define compliance checks in natural language — a test objective and pass criteria — and an AI agent executes them across connected systems. Multi-step, cross-system inspections that go beyond simple thresholds, producing structured verdicts with evidence and reasoning.

Natural language testsCross-system inspectionChange-aware reports

Enterprise-Ready Security

Built for organizations with serious compliance requirements.

SOC 2 Type II

Independently audited security controls

Data Encryption

AES-256 at rest, TLS 1.3 in transit

Data Residency

EU, US, UAE, Singapore & more regions

SSO & RBAC

8 distinct roles across organization and project scope, with separation of duties enforced by default

Flexible Deployment Solutions

Choose the deployment model that fits your organization's security, compliance, and operational needs.

SaaS

Best for: SMEs and enterprises with standard cloud requirements.

Quick to deploy and easy to scale. Ideal for teams that want to move fast without managing infrastructure. Available through cloud marketplaces.

Private Cloud / VPC

Best for: Enterprises with stricter data protection needs or complex infrastructure setups.

Run Modulos in your own dedicated cloud environment for enhanced security, data control, and compliance.

Trusted by 200+ organizations

aDigital
SCSK
ETH
PwC
Berner Fachhochschule
Mobile Health
Serai
CertX
JobCloud
Xayn
Beyond Gravity
Armasuisse
aDigital
SCSK
ETH
PwC
Berner Fachhochschule
Mobile Health
Serai
CertX
JobCloud
Xayn
Beyond Gravity
Armasuisse

FAQ

Find answers to common questions about Modulos AI Governance Platform.

Our solution streamlines AI governance, risk management, and compliance, making it easier to align with global standards while enhancing operational efficiency. It offers a proactive approach to managing AI risks and ensures your AI initiatives are both innovative and ethically governed, safeguarding against regulatory pitfalls and fostering trust in your AI deployments.

No, we are an AI governance platform. While data governance focuses on managing data quality, privacy, and lifecycle, AI governance addresses the unique challenges of AI systems including model risk, algorithmic fairness, transparency, and regulatory compliance specific to AI technologies like the EU AI Act.

No, you don't need to send us your data. Our platform connects to your existing tools and repositories to gather evidence and documentation. We offer flexible deployment options including private cloud and on-premise installations for organizations with strict data residency requirements.

The EU AI Act was published in the Official Journal in July 2024 and enters into force in stages, with full enforcement by August 2026. Our platform is built on the final published text and aligns with the technical standards being developed by CEN/CENELEC. We continuously update our framework mappings as guidance is finalized.

Our platform supports multiple international standards including ISO 42001 (AI Management Systems), ISO 23894 (AI Risk Management), NIST AI RMF, IEEE standards for AI ethics, and regulatory frameworks like the EU AI Act, Singapore's Model AI Governance Framework, and more. The governance graph maps controls across all these frameworks.

Embrace Ethical Innovation

Book a demo with our team to see how Modulos transforms AI governance from a compliance burden into a strategic value driver, driving better AI ROI with every system you deploy.