Locusive's assistant can pull and analyze data in your SQL database automatically. Your users simply ask a question, and our system uses a combination of example queries, your database schema, and reference guides to write and execute the SQL needed to get the data that's needed to answer your team's questions. The system will even correct itself, analyze and fix errors, and create multiple queries when multiple steps are needed.
Security
Data and system security are common concerns when enterprises connect Locusive. We've got several solutions in place, including the following:
Encrypted credentials: Our system encrypts your database credentials at rest, and the encryption key used to decrypt that data is stored in a completely separate system than the credentials themselves
Read-only queries: Our system is set up to catch and eliminate any potential queries that could modify your data, and will only ever execute SELECT statements
Read-only user accounts: We work with your team to set up read-only user accounts to your database, so that our connection can't make changes, even if it tried to
Read-only database: When possible, we recommend using a read-only replica of your production database
Benefits of using Locusive with your database:
Your non-technical employees can get the data they need without waiting for your tech teams
Perform large-scale data analysis right in your database
Locusive's natural language chat interface lets you pull data on-demand, which can be useful during QBRs, sales calls, and meetings
Eliminate unnecessary or unused dashboards in favor of on-demand analytics
View the thought patterns, reasoning, and raw data that our system used in each query, making it easy for you to audit every answer
Interested in using AI with your own database? Learn more about our text-to-SQL and database query capabilities.
EdTech companies use Locusive to analyze survey results and aggregate data using on-demand queries, which they then use in QBRs and company meetings, while ecom enablement companies use Locusive to perform in-database analytics on large scale survey and response data.
.png)
