Sistava

Data Retention Policy

Retention windows per data type, including the current implementation status for each category.

Last updated: August 30, 2026 This page is the canonical, plain-language answer to " how long does Sistava keep what? ". It supplements (and does not replace) Section 8 of our Privacy Policy , Section 12 of our Data Processing Agreement , and Section 18.A of our Terms of Service (Data Portability & Switching). The table shows both our maximum retention windows and the current implementation status for each category.

1. Honest Defaults, Transparent Practice

Sistava is an early-stage product. To improve the platform, optimize infrastructure, debug issues, investigate abuse, and understand how AI employees are used, we currently retain most operational and behavioral data for up to two (2) years by default. This is longer than some smaller vendors retain data, and we want you to know that up front rather than discover it later. We do not sell your data, we do not share it for advertising, we do not transfer it to data brokers, and we use it only to operate, secure, and improve the Services as described in our Privacy Policy. As we mature, we expect to shorten these windows; any future reduction will apply prospectively and will be announced on this page.

2. Categories & Retention Windows

The table below lists every category of customer data we process, the maximum retention window we apply today, what triggers deletion, and how that control is currently handled. Automatic means a scheduled cleaner is configured. Source-managed means a scoped infrastructure cleaner or underlying storage system enforces expiry. Manual means deletion follows a verified request or customer action. Planned means the maximum is published but the end to end control is not yet automated. Data outside the scope of these categories (for example, data we are legally required to retain for tax or accounting reasons, or data we are required to preserve for an active legal hold) is governed by Section 4 below.

3. How Deletion Actually Happens

Automatic categories are processed by a daily scheduled cleanup. Storage lifecycle categories are expired by the underlying storage system on their scoped object prefix. Each application category is handled independently and in bounded batches to avoid database lock contention. We record the configured policy, deletion counts, known storage measurements, and outcome for each retention cycle. Before a retention-window change is deployed, we run a dry run to verify what it would delete. When you exercise your right to erasure (GDPR Article 17) by emailing [email protected] , we verify and respond to the request subject to the legal-retention exceptions in Section 4 below. The account-erasure workflow is shown as Planned until its cross-system verification is live. Backup timing is shown separately in the table above.

4. When We Keep Data Longer

We may retain your data beyond the windows in the table above when:

5. Your Controls

You can shorten retention for your own data at any time by:

6. Reconciliation with Other Pages

We mention retention in several places on the website. This page is the canonical, binding reference for any disagreement. Specifically:

7. Changes to This Schedule

We may change the retention windows in this Schedule at any time. Where a change reduces retention (we delete data sooner), the change applies prospectively to all data going forward and we will use commercially reasonable efforts to give advance notice. Where a change extends retention (we keep data longer), we will publish the change here before it takes effect and explain why.

8. Contact

For questions about retention, deletion requests, or any other data protection matter, contact [email protected] .