Sort is a platform that streamlines manual data change requests by allowing users to propose changes in natural language, which are then reviewed and approved by administrators before being executed automatically in the database. This approach enhances data accuracy and transparency while reducing the time spent on administrative tasks associated with managing sensitive and valuable data.
Funding
$3.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle with managing manual data change requests, especially for valuable or sensitive data that cannot be fully automated. Existing processes are often scattered, time-consuming, and lack transparency, leading to inefficiencies and potential inaccuracies.
Solution
Sort provides a platform to streamline manual data change requests by enabling users to propose changes in natural language. These proposed changes are then routed for review and approval by designated administrators or engineers. Once approved, Sort automatically executes the changes in the database without requiring SQL knowledge. The platform maintains a comprehensive audit trail of all data modifications, capturing who made the change, when it occurred, the specific changes made, and the rationale behind them, thereby enhancing data accuracy and transparency.
Target Audience
Sort targets data teams, internal operations, customer support, and community managers who require a streamlined and transparent process for managing manual data changes.
Features
- Natural language interface for proposing data changes, simplifying the submission process for non-technical users.
- Role-based access control to configure and enforce granular permissions, ensuring data security and compliance.
- Automated execution of approved data changes directly in the database, eliminating the need for manual SQL queries.
- Comprehensive audit logging to track all data modifications, providing a complete history of data changes.
- Issue tracking for reporting and managing data quality problems, facilitating collaborative data improvement efforts.
- Integration with existing databases through a flexible API, enabling seamless connectivity with various data sources.
- Browser-based UI accessible to users, admins, and engineers.