trail is an AI Governance platform that simplifies and automates compliance, risk management, and documentation for AI systems.

With trail you can collect and keep track of all your AI assets (systems, models, use cases and vendors) and classify them accordingly (e.g. by risk under the EU AI Act).

From there, we guide you through your compliance and risk management processes, and we help you to collect the necessary information from other teams or tools along the way. Our integrations, automations and AI agents can help you with that!

trail is designed for organizations of all sizes that want to build or use AI responsibly. Large, regulated enterprises that develop their own AI systems typically gain the most value out of trail. Our main users typically include risk and compliance teams and AI teams (seeking to automate documentation and governance tasks).

Absolutely – trail is built to help you comply with the EU AI Act. We provide guided workflows and templates to classify your AI use cases, identify high-risk systems, operationalize the right requirements and controls and automatically generate the required documentation and conformity assessments.

Yes, trail’s platform can act as your management system aligned with ISO/IEC 42001 standards and similar. We help you establish an AI Management System (AIMS) with structured policies, risk assessments, and controls. Our customers, like Unique and top.legal, have successfully used trail to accelerate their ISO 42001 certification process and achieve certification as one of the first in Europe.

trail features AI agents that act as an “extra compliance team member.” These agents can autonomously perform governance tasks and communicate with other tools in your stack. This frees your time to focus on the high-stakes decisions. Our "Copy-on-Write" mechanism keeps you in control of the agents' actions. Aside oft that, we also offer features that can increase the oversight of your AI agents.

Yes, trail offers a great balance between standardization and customizability. You can start immediately with our out-of-the-box templates, e.g. for risk assessments and EU AI Act content, or fully customize workflows, roles, questionnaires and more to match your specific organizational processes and needs.

trail's SaaS is hosted on Google Cloud Platform (GCP) in Europe, ensuring strict adherence to GDPR and secure data. We also hold certifications for the ISO/IEC 27001 (information security) and ISO/IEC 42001 (AI management). Get in touch with us to learn how we can meet your specific requirements.

Yes. We believe successful AI Governance is a mix of the right tools and expertise. We offer dedicated AI Governance consulting to help you set up internal processes, run complex risk assessments, and prepare for external audits or certifications, together with our software. We also have a great network of consulting and integration partners that you can also make use of.

Traditional GRC tools (like ServiceNow or OneTrust) are still not as automated as promised and are falling short on AI-specific governance.

trail is AI-native and is specifically built for the dynamic nature of AI models and their risks, which is also why we integrate seamlessly to where developers work.

Think of trail as your automation layer on top of your existing GRC stack, offering AI-specific risk libraries, automated documentation from code, and AI agents that handle repetitive compliance tasks.

It's your choice: Keep your existing tool as the central source of truth and use trail to automate workflows in the background (like some of our customers do), or use trail as a standalone platform.

Yes – trail supports both. For in-house development, we integrate with your MLOps stack to track experiments, gather technical information and automate documentation. For procurement, trail streamlines vendor assessments and risk reviews, ensuring that any third-party AI tool you buy meets your internal standards and regulatory requirements.

While trail specializes in AI Governance (EU AI Act, ISO 42001, NIST AI RMF), it is flexible enough to support other frameworks as well. Customers also use trail to manage data privacy (GDPR) and information security requirements (e.g. with our ROPA management or control assessment features), or other sectoral regulation and policies, ensuring a holistic approach to compliance. You can bring your own frameworks into trail or make use of our templates. Have something special in mind? Our team will support you in bringing your preferred framework into trail!

trail integrates seamlessly with common MLOps and development tools like Databricks, MLflow, Langfuse and Git. We offer a Python package that allows data scientists and engineers to log experiments and metadata directly from their IDE to trail without switching contexts. We also offer integrations to other tools like for your GRC, internal wikis and project management (e.g. Atlassian Suite). Of course, you can also make use of trail's APIs and we're happy to put your integration wish on our product roadmap.

You can do both, but automation is our strength. trail connects to your existing tools to pull in information, like technical metadata, model parameters, existing documentation and more automatically. This ensures your governance records are always up-to-date without manual data entry. You can also import existing governance frameworks, questionnaires, control and risk libraries, and AI assets – we will support you with that!

Yes. For customers with strict data residency or security requirements, we support Bring Your Own Cloud (BYOC) and on-premise deployments. We can deploy trail into your specific private cloud environment (e.g. AWS, Azure, GCP).

Yes. We offer a time-limited test account so you can explore trail's capabilities yourself. Often, we run structured Proof of Concepts (POC) to validate the platform’s value in your specific environment before a full rollout.