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AI Governance made simple

The trail copilot enables you to build trustworthy and high-quality AI by automating governance.

Audit Trail

Trace back any decisions made during machine learning development. Combining data, models, hypotheses and outcomes in one central place.

Automated Documentation

trail generates accurate documentation and reports of your ML development from code, data and model to inform you about capabilities and risks. Use our governance framework templates or create your own.

Model

Metrics, parameters and artifacts of your last model run

Data

Sources, metrics and distributions of your dataset

Code

Analysis and aggregation of information

Get Certified

Signal the quality and trustworthiness of your AI system to your customers through external certification by our leading partners.

AI Registry

One central hub for all AI projects of your organization. Access and aggregate all relevant project information and increase transparency across teams. Enabling collaboration that accounts to your individual compliance and stakeholder needs.

Workflows & Tests

Efficient operationalization of regulatory processes and governance frameworks, without creating additional overhead. The trail copilot helps you to identify and mitigate compliance gaps via automated tests.

Audit Trail

Bring transparency and reliability to your AI projects, ultimately fostering trust.

Experiment Tracking

View your machine learning development in an intuitive tree, allowing you to review and compare each experiment.

Model Cards

Access all relevant metadata and artifacts of your models and datasets to have one single truth for your metadata.

Traceback Decisions

Trace back the development using qualitative data to understand which and why decisions have been made.

One-Click

Generate automated model, data and code documentation in minutes instead of hours. Always up-to-date with the latest model changes so that you can focus on the most important tasks and are ready for audits.

Templates

Use our pre-defined templates based on various governance frameworks, such as IEEE or EU AI Act, to start right away.

Multi-Purpose

Automatically create documentations that match each stakeholder's knowledge level and needs.

Automated Documentation

Documentation is an important factor to understand what you did during development and to comply with policies, but it is very time-consuming. Time that trail gives you back.

AI Registry

Gain clarity and control over all your organization's projects. Oversee what you are building, in which stage, at which risk and who is responsible for each AI system.

Oversight

Manage AI projects from one central hub, classify model risk, and access relevant project information to increase transparency across teams.

All Data & Model Types

Text, tables, images, regressions, classifications or segmentations — each project looks different. trail supports all data and model types.

Improved Collaboration

Reduce knowledge silos and dependencies with individualized views such that every team member can find and understand the right information at any time. Move from scattered information to a centralized information system. The trail copilot helps you to align technical and non-technical stakeholders for successful delivery.

Role-Specific Tasks

Automatically assign tasks and responsibilities to the relevant project stakeholder, aligned with existing frameworks and immediately after defining your AI use-case.

Automated Tests

Identify and mitigate compliance gaps effortlessly with trail, empowering teams for compliant engineering without additional overhead.

Harmonize Regulation & Policies

The trail copilot supports you in embedding regulation or internal policies and frameworks into your existing governance processes at ease.

Governance Workflows

Orchestrate and automate your AI Governance. trail supports you in organizing, integrating and simplifying your processes.

Value for the whole team

AI Governance is an interdisciplinary task, requiring the joint effort of various stakeholders.
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trail empowers engineers, AI leads and compliance officers to work on AI Governance simultaneously and efficiently:

Head of AI and Product Owner

Effectively oversee AI development
Facilitate and streamline compliance processes
Align AI development with your business goals

Data Scientist
and Engineer

Track experiments and development decisions
Create reports for different levels of understanding
Effortlessly integrate AI Governance

Risk and Compliance

Mitigate AI risks, PR damages or penalties early on
Comply with regulation or policies at ease
Avoid additional overhead for you and your developers

Start for free

How it works

1. Integrate into developer environment

Integrate trail seamlessly into your developer's environment to gather relevant technical information without overhead for engineers.

2. Personalize your workflow

Use our guided and automated workflows out of the box, or tailor them where needed to the specific needs of your organization.

3. Unlock trustworthiness

Holistic and simple AI Governance features help you to incorporate transparency, quality and efficiency in your AI development - enabling trust in AI.