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Querent Ai

Querent is an engineering research company that builds business intelligence systems for information retrieval and insight generation using deep neural networks.

Technology; Information and Internet
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Headquarters
Austin, United StatesSource: RevenueBaseRetrieved October 13, 2026
Employee range
1 to 10Source: RevenueBaseRetrieved October 13, 2026
Founded
2023Source: RevenueBaseRetrieved October 13, 2026
Published list appearances
7 supported appearances ↗Source: RevenueBase lists
The company at a glance

What does Querent Ai do?

Querent Base is designed to map and analyze semantic relationships across large volumes of multimodal data, creating searchable semantic knowledge graphs, vector spaces, and indices. The solution is intended to help data scientists, researchers, and business intelligence professionals manage and analyze their data.

Based on the company’s public LinkedIn information, supplied through RevenueBase.

What the business offers

Services & capabilities.

Business intelligence systems

The company builds scalable systems for information retrieval and insight generation using deep neural networks.

Source: LinkedIn company description · Retrieved October 13, 2026

Explore the business in context

Company lists.

Supported appearances on published RevenueBase lists, including available memberships beyond displayed rankings.

Positions describe ordering within each source list. See how lists are built ↗

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BADGE PREVIEWQuerent Ai listed #8 on Machine learning research companies, September 27, 2026Open the published source list.
Querent Ai

#8 Machine learning research companies

Snapshot: September 27, 2026

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Company information

Sources & data notes.

RevenueBase prepared this profile from the company’s public LinkedIn information and RevenueBase company data. These source records were retrieved on October 13, 2026. AI helped summarize these sources, with a separate automated check against the source text completed on November 4, 2026. Directory positions use company-contact counts from separate saved list snapshots dated September 3, 2026, September 20, 2026, September 21, 2026, September 27, 2026 and September 30, 2026. How the company lists are built.

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