Effective date:

03/21/2025

At Cortal Insight, we are committed to building AI solutions that enhance the efficiency and accuracy of data management while upholding the highest standards of transparency, privacy, and fairness. Our platform not only helps data scientists manage and understand unstructured datasets but also provides Vision-based AI Models as a Service (MaaS) to accelerate machine learning workflows.

As we develop and deploy AI-driven solutions, we ensure that our approach is responsible, secure, and aligned with global AI governance standards.

Our Commitment to Responsible AI:
1. Data Privacy & Model Security
  • User data remains user-owned: We do not train our AI models on customer data unless explicitly isolated for their exclusive use.

  • Customers have control over what data is persisted and can request data deletion at any time.

  • Our models are designed with strict privacy safeguards, ensuring that customer inputs and outputs remain confidential and protected.

2. Transparency & Explainability
  • Our vision-based AI models provide clear insights into decision-making, reducing AI opacity and enabling interpretability.

  • We delineate between trained models, user-provided prompts, attachments, and responses, ensuring that all aspects of "our data" are well-defined.

  • Customers can access usage reports and feedback mechanisms to monitor how our AI interacts with their data.

3. AI Training & Fairness
  • If AI models require training on customer data, we provide clear opt-in mechanisms and a structured process for handling inaccuracies.

  • Our models undergo bias testing and validation to mitigate unintended biases in vision-based AI applications.

  • We have formal channels for handling enhancement requests, ensuring continuous improvement based on user needs and ethical AI practices.

4. AI Processing & Subprocessing
  • We maintain transparency regarding who is involved in AI subprocesses and ensure that any third-party providers align with our indemnity and retention policies.

  • Our AI processing is not co-mingled with other customers' data unless explicitly necessary and agreed upon.

  • Customers receive full visibility into when and how their data is used in AI processing.

5. Continuous Improvement & Ethical AI
  • Our Vision AI models and data management tools are designed with fairness, security, and interpretability at the core.

  • We regularly audit our AI services to align with evolving AI regulations and best practices.

  • As AI technology advances, we are committed to responsible innovation, ensuring our customers can trust and benefit from AI without ethical or security concerns.

At Cortal Insight, we believe that AI should be an enabler, not a black box. Whether you're managing datasets or leveraging our Vision AI models as a service, our responsible AI framework ensures that our solutions are ethical, transparent, and built with privacy-first principles.

For questions or support related to our Responsible AI policies, please contact support@cortalinsight.com.

At Cortal Insight, we are committed to building AI solutions that enhance the efficiency and accuracy of data management while upholding the highest standards of transparency, privacy, and fairness. Our platform not only helps data scientists manage and understand unstructured datasets but also provides Vision-based AI Models as a Service (MaaS) to accelerate machine learning workflows.

As we develop and deploy AI-driven solutions, we ensure that our approach is responsible, secure, and aligned with global AI governance standards.

Our Commitment to Responsible AI:
1. Data Privacy & Model Security
  • User data remains user-owned: We do not train our AI models on customer data unless explicitly isolated for their exclusive use.

  • Customers have control over what data is persisted and can request data deletion at any time.

  • Our models are designed with strict privacy safeguards, ensuring that customer inputs and outputs remain confidential and protected.

2. Transparency & Explainability
  • Our vision-based AI models provide clear insights into decision-making, reducing AI opacity and enabling interpretability.

  • We delineate between trained models, user-provided prompts, attachments, and responses, ensuring that all aspects of "our data" are well-defined.

  • Customers can access usage reports and feedback mechanisms to monitor how our AI interacts with their data.

3. AI Training & Fairness
  • If AI models require training on customer data, we provide clear opt-in mechanisms and a structured process for handling inaccuracies.

  • Our models undergo bias testing and validation to mitigate unintended biases in vision-based AI applications.

  • We have formal channels for handling enhancement requests, ensuring continuous improvement based on user needs and ethical AI practices.

4. AI Processing & Subprocessing
  • We maintain transparency regarding who is involved in AI subprocesses and ensure that any third-party providers align with our indemnity and retention policies.

  • Our AI processing is not co-mingled with other customers' data unless explicitly necessary and agreed upon.

  • Customers receive full visibility into when and how their data is used in AI processing.

5. Continuous Improvement & Ethical AI
  • Our Vision AI models and data management tools are designed with fairness, security, and interpretability at the core.

  • We regularly audit our AI services to align with evolving AI regulations and best practices.

  • As AI technology advances, we are committed to responsible innovation, ensuring our customers can trust and benefit from AI without ethical or security concerns.

At Cortal Insight, we believe that AI should be an enabler, not a black box. Whether you're managing datasets or leveraging our Vision AI models as a service, our responsible AI framework ensures that our solutions are ethical, transparent, and built with privacy-first principles.

For questions or support related to our Responsible AI policies, please contact support@cortalinsight.com.

At Cortal Insight, we are committed to building AI solutions that enhance the efficiency and accuracy of data management while upholding the highest standards of transparency, privacy, and fairness. Our platform not only helps data scientists manage and understand unstructured datasets but also provides Vision-based AI Models as a Service (MaaS) to accelerate machine learning workflows.

As we develop and deploy AI-driven solutions, we ensure that our approach is responsible, secure, and aligned with global AI governance standards.

Our Commitment to Responsible AI:
1. Data Privacy & Model Security
  • User data remains user-owned: We do not train our AI models on customer data unless explicitly isolated for their exclusive use.

  • Customers have control over what data is persisted and can request data deletion at any time.

  • Our models are designed with strict privacy safeguards, ensuring that customer inputs and outputs remain confidential and protected.

2. Transparency & Explainability
  • Our vision-based AI models provide clear insights into decision-making, reducing AI opacity and enabling interpretability.

  • We delineate between trained models, user-provided prompts, attachments, and responses, ensuring that all aspects of "our data" are well-defined.

  • Customers can access usage reports and feedback mechanisms to monitor how our AI interacts with their data.

3. AI Training & Fairness
  • If AI models require training on customer data, we provide clear opt-in mechanisms and a structured process for handling inaccuracies.

  • Our models undergo bias testing and validation to mitigate unintended biases in vision-based AI applications.

  • We have formal channels for handling enhancement requests, ensuring continuous improvement based on user needs and ethical AI practices.

4. AI Processing & Subprocessing
  • We maintain transparency regarding who is involved in AI subprocesses and ensure that any third-party providers align with our indemnity and retention policies.

  • Our AI processing is not co-mingled with other customers' data unless explicitly necessary and agreed upon.

  • Customers receive full visibility into when and how their data is used in AI processing.

5. Continuous Improvement & Ethical AI
  • Our Vision AI models and data management tools are designed with fairness, security, and interpretability at the core.

  • We regularly audit our AI services to align with evolving AI regulations and best practices.

  • As AI technology advances, we are committed to responsible innovation, ensuring our customers can trust and benefit from AI without ethical or security concerns.

At Cortal Insight, we believe that AI should be an enabler, not a black box. Whether you're managing datasets or leveraging our Vision AI models as a service, our responsible AI framework ensures that our solutions are ethical, transparent, and built with privacy-first principles.

For questions or support related to our Responsible AI policies, please contact support@cortalinsight.com.