Large Language Model - Data Policy

Sept 2, 2024

The policy refers to the guidelines and practices that govern how data is managed, stored, and used within an organization or service that leverages large language models.

By using teamcal.ai (the “Website”) and/or a TEAMCAL AI account (the “Service”), you agree to the terms of this Large Language Model data tenancy policy and the Terms of Service. The Service is designed and operated by TEAMCAL AI (“TCAI”). Please read the Terms of Service and Privacy Policy in their entirety, and refer to those documents for definitions and contacts.

Data Tenacy Policy

We're not in the business of selling, renting out or trading your data with 3rd parties. All data collected is used to provide you with the Service only, and all your private data and intellectual property is always yours.

Data Ownership

The user owns the data fed into or generated by the LLM, the data us maintained by the organization and can be requested by user by sending an email to support@teamcalendar.ai.

Data Privacy and Security

We take industry standard measures to protect sensitive information from unauthorized access or breaches. This includes encryption, access controls, and anonymization of data where ever necessary. All our Data are stored in AWS.

Data Usage

Data entered in our ADI bot/ Slackbot can be used by the LLM, ensuring it aligns with privacy regulations and ethical standards. This includes guidelines on training data, inference data, and any data retention policies.

Data Isolation

we ensures that data from different clients or users is isolated to prevent data leakage or cross-contamination. This is crucial in our multi-tenant environments where multiple clients share the same LLM infrastructure.

Compliance

We are actively seeking SOC 2 Compliance please visit trust.teamcal.ai for more information. We want to ensure our customers that the LLM's data handling practices comply with relevant regulations, such as GDPR, HIPAA, or CCPA, depending on the jurisdiction and industry.

Transparency and Accountability

TEAMCAL AI is transparent about data handling practices and will do our betto resolve any issues related to data misuse or breaches and inform the customers.

User Consent

When user sign up, we ask the user to consent for data usage, this include accepting our privacy policy which includes our data tenacy policy. And we clearly state that data will be used to improve the LLM, and for other purposes beyond the immediate service provided.

Data Residency Policy

This policy refers to the rules and guidelines that govern where data is physically or geographically stored and processed when used with a large language model.

Geographical Location

USA - North Virginia in AWS (Amazon Web Services)

Compliance with Local Laws

Cross-Border Data Transfers

We dont allow cross border data transfer.

Data Segmentation and Isolation

Data from different regions will be segmented and isolated to comply with residency requirements. Data collected in the EU will be stored and processed on servers located within the EU, separate from data collected in other regions. Right now we only operate in USA and store all data in USA.

Vendor and Cloud Service Provider Compliance

We use AWS for storing or processing data which adhere to the data residency requirements. We verify that the provider’s data centers are located in compliant regions.

Audit and Monitoring

We have processes in place to regularly audit and monitor data residency compliance, ensuring that data remains within the approved geographical boundaries and that any violations are promptly addressed.

Impact on LLM Operations

Data residency requirements might affect the operation of large language models, particularly in terms of latency, performance, and access to data for training or inference purposes.

Changes to the Privacy Policy

We may amend this Privacy Policy from time to time. Use of information we collect now is subject to the Privacy Policy in effect at the time such information is used. If we make any significant changes in the way we collect or use information, we will notify you by posting an announcement on the Website or sending you an email. A user is bound by any changes to the Privacy Policy when he or she uses the Services after such changes have been first posted. Changes to this Privacy Policy may go into effect immediately to ensure that we can provide the Service without interruptions (for example, we may have to switch 3rd-party providers of application features on short notice if they experience technical difficulties or go out of business).

Questions and contact information

Should you have any questions or concerns, please write to support@teamcalendar.ai, or write to:

TEAMCAL AI 777 San Antonio Rd Palo Alot CA 94303

If you need to contact a data privacy officer, please use the contact information above.