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Cignara policy evolution

Before/after stance changes across captured policy versions, with exact citations. If no before/after delta is available yet, AIRIN shows the latest citation-backed stance events instead.

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No before/after stance delta is available for this filter yet. Latest citation-backed stance events are shown below.
Jul 20, 2026traininghigh

data sharing

Latest stance: sale or sell

• We collect information you give us, information about how you use the Service, and information from a small number of vendors that help us run our business. • We use information to operate, secure, and improve the Service, to communicate with you, and to meet legal obligations. • We do NOT sell your personal information, and we do NOT use customer conversation data to train foundation or third-party large language models. • We retain personal information only as long as needed for the purposes described in this Policy, subject to legal-hold obligations. • You have rights over your personal information, including access, correction, deletion, portability, and objection, described in Section 9. • Questions? Email compliance@cignara.com .
Open citation
Jul 20, 2026trainingmedium

data sharing

Latest stance: third party or vendor sharing

• We do not use customer conversation data, customer-provided knowledge bases, or any other customer content to train, fine-tune, or improve foundation or third-party large language models. • Our vendors that provide model inference, speech-to-text, text-to-speech, or telephony are contractually required to process customer data only on our instructions and not to use it for their own training or other purposes. • Where we operate Cignara-managed model infrastructure, we may use de-identified, aggregated operational telemetry (for example, latency, error rates, throughput) to monitor and improve the Service, but not to train language models on customer content. • Where a customer separately opts in to a feature that uses their data to improve their own configuration of the Service (for example, an internal evaluation or fine-tune), we do so only for that customer's benefit, in accordance with the contract between us.
Open citation
Jul 20, 2026traininglow

model training

Latest stance: no training claim

• We collect information you give us, information about how you use the Service, and information from a small number of vendors that help us run our business. • We use information to operate, secure, and improve the Service, to communicate with you, and to meet legal obligations. • We do NOT sell your personal information, and we do NOT use customer conversation data to train foundation or third-party large language models. • We retain personal information only as long as needed for the purposes described in this Policy, subject to legal-hold obligations. • You have rights over your personal information, including access, correction, deletion, portability, and objection, described in Section 9. • Questions? Email compliance@cignara.com .
Open citation
Jul 20, 2026traininglow

model training

Latest stance: no training claim

2.4 Customer conversation data. Where Cignara processes voice, chat, transcript, or related conversation data on behalf of a customer, we do so as a data processor under that customer's instructions and the written contract between us. We handle that data only to provide the Service, to maintain security, and to comply with law. We do not use that data to train foundation or third-party large language models, and our vendors are contractually prohibited from doing the same. 2.5 Sensitive information. We do not seek to collect sensitive categories of personal information (such as health, biometric, financial-account, or government-ID data) about visitors to our website. Where customers deploy the Service to handle conversations that may include sensitive information, our processing of that information is governed by the contract with the customer and any applicable data-processing addendum.
Open citation
Jul 20, 2026traininghigh

model training

Latest stance: training permitted

• We do not use customer conversation data, customer-provided knowledge bases, or any other customer content to train, fine-tune, or improve foundation or third-party large language models. • Our vendors that provide model inference, speech-to-text, text-to-speech, or telephony are contractually required to process customer data only on our instructions and not to use it for their own training or other purposes. • Where we operate Cignara-managed model infrastructure, we may use de-identified, aggregated operational telemetry (for example, latency, error rates, throughput) to monitor and improve the Service, but not to train language models on customer content. • Where a customer separately opts in to a feature that uses their data to improve their own configuration of the Service (for example, an internal evaluation or fine-tune), we do so only for that customer's benefit, in accordance with the contract between us.
Open citation

Generated from live stance events. Informational only, not legal advice.

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