The trail copilot enables you to build and use trustworthy and high-quality AI through efficient governance.
Trace back any decisions made during machine learning development. Combining data, models, hypotheses and outcomes in one central place.
trail generates accurate documentation and reports of your ML development from code, data and model to inform you about capabilities and risks — powered by LLMs. Use our governance framework templates or create your own.
Metrics, parameters and artifacts of your last model run
Sources, metrics and distributions of your dataset
Analysis and aggregation of information
Build your on AI Policy using current industry knowledge and best practices. Guided by a practical questionnaire that leverages your organizational information.
Manage AI risks based on the latest standards and risk assessments — within trail or integrated into your existing Risk Management process.
Signal the quality and trustworthiness of your AI system to your customers through external certification by our leading partners.
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.
Operationalize only the requirements that you need to for your use case. The trail copilot helps you to identify and mitigate compliance gaps via automated tests.
trail guides you through the creation process and helps you to formalize the use of AI within your organization. Balancing best practices and your individual needs.
The goals, principles and requirements from your policies translate directly into actionable to-do's within trail.
Start your governance with creating a proper AI policy. Our copilot makes sure to translate your requirements into actionable steps for all of your teams.
Gain clarity and control over all your organization's AI solutions. Oversee what you are building and using, in which stage, at which risk and who is responsible for each AI system.
Manage AI use cases from one central hub, classify model risk according to the EU AI Act, and access relevant project information to increase transparency across teams.
Text, tables, images, regressions, classifications or segmentations — each project looks different. trail supports all data and model types.
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 of developed and procured systems.
Automatically assign tasks and responsibilities to the relevant project stakeholder, aligned with existing frameworks and immediately after defining your AI use-case.
Identify and mitigate compliance gaps effortlessly with trail, empowering teams for compliant engineering without additional overhead.
The trail copilot supports you in embedding regulation or internal policies and frameworks into your existing governance processes at ease.
Orchestrate and automate your AI Governance. trail supports you in organizing, integrating and simplifying your processes.
Identify, classify and treat all AI-related risks. Use our pre-defined assessment template aligned with standards, or integrate your existing Risk Management workflows.
Choose from pre-defined risk assessment templates or bring your own to standardize Risk Management within your organization.
trail helps you to keep track of all identified risks and suggests you appropriate treatment measures.
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.
Use our pre-defined templates based on various governance frameworks, such as IEEE or EU AI Act, to start right away.
Automatically create documentations that match each stakeholder's knowledge level and needs.
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.
Bring transparency and reliability to your AI projects, ultimately fostering trust.
View your machine learning development in an intuitive tree, allowing you to review and compare each experiment.
Access all relevant metadata and artifacts of your models and datasets to have one single truth for your metadata.
Trace back the development using qualitative data to understand which and why decisions have been made.
AI Governance is an interdisciplinary task, requiring the joint effort of various stakeholders.
trail empowers engineers, AI leads and compliance officers to work on AI Governance simultaneously and efficiently:
Integrate trail seamlessly into your existing processes and developer's environment to gather relevant technical information without overhead for engineers.
Use our guided and automated workflows out of the box, or tailor them where needed to the specific needs of your organization.
Holistic and simple AI Governance features help you to incorporate transparency, quality and efficiency in your AI development - enabling trust in AI.
Keep using what you like — trail integrates into your infrastructure and model frameworks.
Contact SalesMitigate AI risks without risking your client's privacy.
Your model and data belong to you, we only store metadata.
Hosted on European servers for maximum privacy.
Secure enterprise options available.