ThoughtSpot lets you ask natural-language questions of data your organization has already structured and modeled. Public records rarely start out that way.
ThoughtSpot
An AI-powered search and analytics platform built for natural-language questions over your data.
Excels at letting non-technical users query data once it's modeled into its semantic layer.
Still requires clean, connected, well-defined data before a question can be answered accurately.
Built for internal business data — not for reconciling scattered public civic records.
ALKARTIS
Sources, cleans, and connects public records across agencies before any question gets asked.
Purpose-built around specific civic questions, not a general semantic layer you have to configure.
No modeling or schema setup required — the domain-specific connections are already built in.
Every answer traces back to a specific, checkable public record, not just a query result.
Asking a good question of your data is only half the problem. For public records, ALKARTIS is what builds the other half — the connected, sourced data underneath the question.
Frequently asked questions
Could our team use ThoughtSpot on top of ALKARTIS data?
API access to the underlying Intelligence Engine is available on Government & Enterprise plans, for teams who want the connected data available to their own natural-language BI tools.
Is ALKARTIS trying to compete with ThoughtSpot generally?
No — for general enterprise data with an existing semantic model, ThoughtSpot is a strong choice. ALKARTIS is specifically about connecting and interpreting public civic records before any question gets asked.