At the core of our platform is a commitment to delivering accurate and reliable results while respecting your privacy. To achieve this, we use anonymized customer data to train and refine our models. Here’s how we do it:
1. Privacy First: Anonymisation of Data
Any customer data used to improve our models is anonymised, meaning it is stripped of any personal or identifiable information. This ensures that while we learn from your interactions, your privacy remains protected at all times.
Examples of data we may anonymise and use:
Publicly available company attributes (e.g., size, revenue, industry).
Edited company attributes provided by you.
User interactions with regulations, such as adding or removing applicable items.
Feedback you provide on checklists, tasks, and risk assessments.
2. Why We Use Anonymised Data
By learning from aggregated, anonymised customer data, we can:
Improve the relevancy and accuracy of our applicable regulations and compliance checklists.
Enhance the accuracy of regulatory risk
Train smarter algorithms to better predict which regulations may impact your business.
Provide a more tailored experience for all users by refining our suggestions.
3. Human Validation for Accuracy
Before any new models are deployed:
Our Global Regulatory Compliance Team reviews and validates the results produced by our models.
We set strict accuracy thresholds, and no updates are made live until these thresholds are met and verified by our human experts.
4. Optional Data Sharing
Your participation in this data collection is entirely optional. Here’s how it works:
Editable Data: You can update or correct company attributes, and this information, once anonymized, may be used to improve our system.
Feedback Opportunities: Any input you provide (e.g., marking a regulation as applicable or not) helps refine our algorithms, always in anonymized form.
Opt-Out Capability: If you prefer not to contribute to model training, you have the option to opt out.
5. What We Don’t Use
Certain types of data, even if anonymized, are not used to train our models, including:
Names, email addresses, or other personal identifiers.
Data stored solely for transactional purposes, like login details or notifications.
Data shared as part of customer support tickets.
6. Transparency and Control
We believe in empowering our users by providing clear options for managing their data:
You can edit and control the data shared with us.
Our platform provides transparency into what data is used and how it benefits you and other users.
You can always review our privacy practices to ensure they align with your expectations.
Your Privacy Is Our Priority
We’re committed to safeguarding your data while using anonymised insights to continuously improve our platform. This balance of privacy and innovation ensures you receive the most accurate and actionable ESG compliance tools available.