Appendix B

Frequently Asked Questions (FAQ)

Quick answers to common questions regarding account provisioning, roles, MFA, project prerequisites, AWS S3 storage, and workflows.

Q: How do I get access to Tensoract?

A: User accounts are created by Company Admins or Super Users. You cannot self-register. Contact your Company Admin to request access.

Q: I forgot my password. How do I reset it?

A: On the login page, click Forgot Password? Enter your registered email and follow the instructions. A temporary password will be sent to your inbox.

Q: I am not receiving the OTP code. What should I do?

A: Check your spam or junk folder. Click Resend code on the OTP screen. If your account has alternate MFA email enabled, click Send code to a different mail.

Q: What is a Trusted Device?

A: A trusted device is a browser you previously verified via MFA. It skips the OTP step on future logins. Tick Remember this device during the OTP step to trust your browser.

Q: What is the difference between Annotator and Reviewer roles?

A: Annotators label data and submit tasks. Reviewers perform quality control and can approve, reject, or decline tasks. Annotator & Reviewer combines both.

Q: What is the difference between a Dataset Supervisor and a Dataset Viewer?

A: Dataset Supervisors have full access to manage a dataset. Dataset Viewers have read-only access and can download exports.

Q: What is a Super User?

A: A Super User is a platform-level administrator with cross-tenant access to all companies, analytics, audit logs, and system settings.

Q: How do I add a user to my company?

A: Navigate to Users in the sidebar and click Create User. Fill in name, email, password, and assign roles.

Q: How do I switch my active role?

A: Click your profile icon at the bottom of the left sidebar and select Switch Role. A panel appears with your assigned roles. Click the desired role. Note: you cannot switch roles while on the Task page.

Q: What must exist before I can create a project?

A: You need at least one validated and published Template, one Workflow using that template, and one Dataset with files.

Q: How are tasks generated in a project?

A: Each file inside the datasets linked to the project automatically becomes one task.

Q: What task states exist in Tensoract?

A: START, ANNOTATE, REVIEW, REJECTED, COMPLETED, PLUGIN, DECLINED.

Q: What is a Pathway ID in a workflow?

A: A unique identifier on an outgoing edge of a PLUGIN node. Plugins use it to tell Tensoract which route to take after processing (e.g., confident vs uncertain).

Q: What is Quorum Annotation?

A: A project configuration requiring multiple annotators to independently submit the same task before it advances to review.

Q: How do I set up SSO?

A: Navigate to Settings > SSO in the sidebar. Click Add Provider. Enter Provider Type, Issuer URL, Client Id, Client Secret, and Callback URL. Register the Callback URL with your identity provider.

Q: Can I use Google or Microsoft SSO?

A: Yes. Any OIDC-compliant provider is supported including Google Workspace, Microsoft Azure AD, Okta, and ADFS. Use the Issuer URL field for your provider OIDC discovery endpoint.

Q: How do I connect an AWS S3 bucket?

A: Navigate to Integrations and click Add Integration. Use the provided Account ID and External ID to create an IAM role in AWS with the provided trust policy, then enter the Role ARN and bucket name in Tensoract.

Q: Can I delete a file that is in a dataset?

A: No. Remove the file from all associated datasets first, then delete it from the Files page.

Q: What happens if I delete an S3 integration?

A: All files and datasets imported from that S3 bucket will become inaccessible.

Q: Who can view Audit Logs?

A: Audit Logs are accessible to Super Users only via the Logs section in the left sidebar.

Release notes - 2026

What’s New in 2026 — new capabilities, refinements, and fixes, in the order they landed.

v0.9 October 6, 2026

Dataset File View

Location: 5. Dataset Setup and Management

We’ve introduced a new Dataset File View in TensorAct, making it easier to browse, preview, and manage files within a dataset. Users can now switch between the existing List view and the new View tab, which displays files as thumbnails with file previews, file names, and quick actions. The new File Viewer allows users to preview files and navigate between them using Previous and Next controls, while supporting file-specific viewing for Images, PDF, PDFOCR, TEXT, CSV, Audio, and Video files. Pagination and items-per-page controls make it easier to navigate large datasets, while file selection allows users to select and delete multiple files directly from the View tab. Additional controls such as file-name copying, media playback, progress tracking, and audio controls provide a more convenient and efficient dataset file management experience.

Change Task Stage from the Project Task List

Location: 8. Projects and Task Management

Project managers and administrators can now quickly change the stage of multiple tasks directly from the Project Task List. By selecting one or more tasks, users can transition tasks to different stages without needing to open each task individually. This enhancement significantly speeds up project management workflows and bulk task tracking.

Azure Blob Storage Integration

Location: 7. Integrations

TensorAct now supports direct integration with Azure Blob Storage. Users can securely connect their Azure storage accounts using either a Shared Access Signature (SAS) Token or a Service Principal. Once connected, users can browse their Azure storage containers directly from the TensorAct interface, select specific folders, and seamlessly import large batches of files into their datasets.

Reviewer Feedback and Pinned Feedback Management

Location: 8. Projects and Task Management

We’ve enhanced the feedback loop between annotators and reviewers. Reviewers can now add detailed feedback and pin specific issues directly to task items. The new issue management panel allows annotators to see all pinned feedback at a glance, reply to comments, and resolve issues systematically, ensuring higher data quality and clearer communication during the review process.

Email Notification Triggers

Location: 17. Email Templates

Administrators can now configure automated email notification templates and triggers. Located in the Settings menu, this feature allows you to customize the content of emails sent to users based on specific system events, keeping project teams instantly informed about task assignments, stage changes, and critical updates.

Uploading and Importing Files

Location: 6. File Management

We have introduced clearer guidelines and limits for file uploads to ensure optimal performance. Users uploading files from their local device can select and upload up to 100 files at a time. For larger batch imports, users leveraging our cloud storage integrations (AWS S3, Google Cloud Storage, or the new Azure Blob Storage) can import up to 25,000 files in a single action.

v0.8 September 8, 2026

Release Summary

Change Type Sections
Added
Updated
Removed No sections removed in this release

Sign-Up & Onboarding

Location: 1. Sign-Up & Onboarding

We’ve introduced a comprehensive Sign-Up and Onboarding system in TensorAct, establishing standardized self-registration and administrator-guided onboarding workflows. Users with verified business email domains can now self-register directly into their company’s workspace, receiving an automated temporary password with mandatory password change enforcement upon first sign-in. For users from unregistered companies, the system detects the domain and provides a streamlined modal to submit a new company registration request to our team. Additionally, the release introduces administrator-initiated user creation with welcome notifications, secure password rotation for pending onboarding invites, and strict email validation rules that reject personal email providers to safeguard platform security.

Deleting Users

Location: 4. User Management

Super Users and Company Admins can now permanently delete user accounts directly from the Users list. The feature supports bulk operations via multi-select checkboxes and incorporates a safety confirmation modal requiring administrators to type DELETE in uppercase to prevent inadvertent deletions. Deletion immediately invalidates active user sessions, presenting an access revocation message upon sign-in. To maintain workflow integrity, in-progress tasks are handled automatically: unsubmitted annotation and review tasks claimed by deleted users are released back to the pool for other team members to claim, while all previously submitted annotations and review decisions remain fully preserved.

Google Cloud Storage (GCS) Integration

Location: 7. Integrations

TensorAct has expanded its cloud storage integrations to include native support for Google Cloud Storage (GCS) alongside AWS S3. Accessible under the Integrations menu, administrators can connect GCS buckets using a secure Google Cloud Service Account permission model without handling static access keys. The platform provides pre-generated CORS setup commands for Google Cloud Shell and includes a built-in integration testing tool to verify bucket connectivity against object URLs. Once configured, users can browse GCS bucket directories, search files, and import large datasets directly into TensorAct from the cloud file browser.

Email Templates

Location: 17. Email Templates

Super Users can now customize and manage automated platform notification emails via the Email Templates interface located in Settings. The platform maps distinct email templates to critical system events, including Password Reset, MFA/OTP verification, new account Welcome messages, company access invitations, project team assignments, and account activation or deactivation alerts. This centralized notification management ensures project teams and users receive clear, automated, and timely communication across the entire user and project lifecycle.

Exporting Results

Location: 8. Projects and Task Management

Users can now export task annotation results directly from the Project Tasks dashboard. The export process packages output data into a structured ZIP archive named after the project (<Project Name>.zip), containing individual JSON files for each task (<Task Name>_<Project Name>.json) to guarantee modular data management. The export scope adapts dynamically based on user selection: teams can export specific manually checked tasks, all displayed tasks using the master checkbox, or filter exports by workflow stage (such as exporting only completed tasks under the Complete node filter).

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