Introducing MLY 3.1: Enhancing Feedback Analysis with Improved Accuracy and Privacy

Montreal, Quebec – October 2025 – Explorance MLY is an AI-powered comment analysis solution, purpose-built to help institutions and organizations turn open-ended feedback into actionable insights. Whether in higher education or the workplace, MLY analyzes qualitative data at scale with features such as automatic theme categorization, alert detection, and crowdsourced recommendations to support smarter, faster decisions.

As feedback volumes continue to grow, and organizations face increasing pressure to interpret results responsibly, MLY 3.1 arrives at a pivotal moment. This release helps institutions and organizations not only listen to what people are saying, but understand it in context, protect privacy, and take action with confidence.

Released today, MLY 3.1 introduces a range of enhancements designed to improve usability, insight accuracy, and workflow efficiency.

What’s new in MLY?

MLY 3.1 delivers a wave of enhancements to improve the way organizations interpret and act on open-ended feedback. From a redesigned redaction experience to contextual comment analysis, advanced alert categorization, and new AI infrastructure flexibility, this release supports organizations looking to scale insight responsibly and with precision.

The focus in this update is on clarity, compliance, and customization, ensuring teams can extract meaning from every response while protecting privacy, detecting risk, and improving operational continuity.

In MLY 3.1, we focused on improving the accuracy and usability. We created a new redaction workspace, making it easier and faster to redact and manage sensitive content. We also added contextual comment analysis so that each response is understood in the context of the question it answers, improving topic coverage and accuracy of the analysis. In addition, we introduced new alert categories, so that users can quickly prioritize and action pressing topics.

— Chanh Do, VP, Innovation Labs.

1. Redesigned redaction workspace

A new centralized workspace makes it easier to manage sensitive content in MLY. Users now have a dedicated space to apply redactions more efficiently across multiple languages, configure exclusion lists, set redaction timelines, and filter content to simplify compliance and privacy management while maintaining the integrity of insights.

2. Comment contextualization

MLY 3.1 now analyzes each open-ended response in the context of the original question it was answering. This improvement enhances the accuracy of theme detection and sentiment analysis, particularly for vague or short responses. By understanding not just what was said but also the intent behind it, users gain improved topic coverage and clearer, more actionable insights from qualitative feedback.

For example, a response like “nothing” to the question “What should your manager improve?” is now recognized as a positive comment rather than neutral. By understanding not just what was said but the intent behind it, users gain clearer, more actionable insights from qualitative feedback.

3. Alert categorization

MLY 3.1 includes ten new alert categories, such as Harassment, Discrimination, Mental Wellbeing, and Inappropriate Language. These granular classifications allow institutions to detect and respond to urgent issues faster. Beyond faster detection, these classifications support a broader goal: strengthening psychological safety across organizations by giving teams visibility into sensitive topics before they escalate.

4. LLM flexibility

MLY 3.1 now supports both Explorance-hosted large language models (LLMs) and customer-managed internal AI infrastructure for summarization and insight generation. Organizations can maintain full control over their data and AI models while still benefiting from advanced AI-powered analysis, ensuring compliance, security, and flexibility.

5. General Enhancements

Additional usability improvements in MLY 3.1 include:

• Optional Summary Tab

Admins can now choose whether or not to include the summary tab in shared dashboards, offering more control over data visibility.

• Topic Tab View Mode

Switch between full-topic view and alerts-only view to focus analysis depending on role or use case.

• Analysis Copy & Ownership Transfer

Duplicate an analysis and assign it to another admin for easier collaboration and continuity.

• Quota Management

Set limits on usage or analysis runs to manage system load and support internal controls.

• Bullet Point Summaries

A new option displays AI-generated summaries in bullet form for faster scanning and executive readability.

• Translation Anonymity Protection

Maintain privacy and regulatory compliance by consistently applying redactions throughout all translations

Built with Customer Feedback, Designed for Action

MLY 3.1 was shaped directly by feedback from higher education and enterprise organizations using the platform daily. These customers asked for more flexibility, stronger privacy controls, and more actionable context – and this release delivers on all three.

With MLY 3.1, Explorance continues to help organizations listen responsibly, interpret meaningfully, and act decisively. This release strengthens MLY’s role as a trusted decision-support platform, helping every institution and organization turn feedback into safer, smarter, and more confident action.

For the latest details on MLY 3.1 and future updates, visit the MLY Help Center page