

The tool connects to supported databases and automatically explores schemas to answer questions without requiring manual SQL writing. Users can request visualizations that render directly in chat and pin results to shared dashboards for ongoing reference. Deployment options range from managed cloud hosting to fully self-hosted or air-gapped installations that support offline operation with local models. Every action remains read-only by default, passes through explicit approval when modifications are enabled, and complies with standards such as GDPR and EU AI Act. This controlled approach distinguishes it from autonomous agents by keeping humans in the loop for all database interactions while still delivering rapid results across multiple languages and database engines.
Teams ask questions in plain language about sales, returns, or revenue, and nivq generates queries, runs them against connected databases, and returns results with optional charts.
Organizations deploy nivq inside their own infrastructure or in air-gapped environments so data never leaves the network while still allowing conversational access to tables and schemas.
Users pin query results to dashboards, then share live revocable links that display updated charts without requiring recipients to log in or download files.
Pricing model: Free. Plan details are indicative — check the site for current prices.
Our take: nivq is a solid research & data choice. It's valued for data remains fully under user control on own servers and strong compliance and audit features for regulated environments. The main trade-off is currently in open beta. A good pick if you want capable AI without a high upfront cost.
nivq keeps all data on your servers. It supports managed cloud, self-hosted, and fully offline air-gapped deployments with zero outbound traffic when using local models.
nivq is a solid research & data choice. It's valued for data remains fully under user control on own servers and strong compliance and audit features for regulated environments. The main trade-off is currently in open beta. A good pick if you want capable AI without a high upfront cost.
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