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.
Risk
Quantify AI risk, allocate budgets, track mitigation
Organization-wide risk overview, taxonomy limits, and risk-to-control mapping.
Compliance
Multi-framework compliance without duplicate work
One control satisfies many frameworks. Evidence browser with full audit trail.
Agents
Human-in-the-loop AI agents for GRC work
Scout Assistant, evidence automation, control assessments — all with human oversight.
The Governance Graph
See how frameworks, requirements, controls, and evidence connect. Implement once, satisfy many.
One control. Many frameworks. One source of truth.
Each framework owns its own requirements. Controls cross-cut: one well-designed control can satisfy requirements in multiple frameworks. That is where Modulos eliminates duplicate work.
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
Control Assessment Agent
Automatically evaluates control implementation and generates comprehensive assessments.
- Readiness scoring with gap identification
- Prioritized recommendations with citations
Evidence Agent
Upload documents and the agent generates metadata, summaries, and control mapping suggestions. You review before accepting.
Risk Agent
Automates risk quantification using Fermi estimation. Investigates context, calculates risk values, and audits its own reasoning before delivering results.
Easy Integration with your AI Stack
Connect Scout to your docs and repos. Feed operational metrics into runtime testing.
GitHub
Code repositories
Bitbucket
Code repositories
Azure
Cloud platform
AWS
Cloud platform
Google Drive
Document storage
Confluence
Wiki & documentation
Jira
Project management
Prometheus
Infrastructure monitoring
Datadog
Observability platform
Langfuse
LLM observability
MLflow
ML experiment tracking
Jupyter
Notebook analysis
Vijil
AI security testing
Push operational metrics from CI/CD pipelines with the Python SDK. Metrics feed runtime tests that link directly to controls.
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.
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.
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
Modulos customers include 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.