Home Funding CA-based TextQL Secures $4.1M in Pre-Seed Funding

[Funding alert] CA-based TextQL Secures $4.1M in Pre-Seed Funding

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CA-based TextQL secures $4.1M in pre-seed funding. Neo and DCM took the lead in the round. Unshackled Ventures, Worklife Ventures, PageOne Ventures, FirstHand Ventures, and Indicator Fund were among the other participants.
CA-based TextQL secures $4.1M in pre-seed funding. Neo and DCM took the lead in the round. Unshackled Ventures, Worklife Ventures, PageOne Ventures, FirstHand Ventures, and Indicator Fund were among the other participants.
CA-based TextQL secures $4.1M in pre-seed funding. Neo and DCM took the lead in the round. Unshackled Ventures, Worklife Ventures, PageOne Ventures, FirstHand Ventures, and Indicator Fund were among the other participants.

CA-based TextQL secures $4.1M in pre-seed funding. Neo and DCM took the lead in the round. Unshackled Ventures, Worklife Ventures, PageOne Ventures, FirstHand Ventures, and Indicator Fund were among the other participants.

Angel investors such as Observe CTO Matt Kraning, Braze CPO and SVP of Growth, Kevin Wang and Spencer Burke, Tackle execs Dillon Woods, John Jahnke, and Brian Denker, and former Notion founder Chris Prucha also joined them.

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The company’s present focus is on employing software engineers and forward deployed engineers; with the cash, it hopes to expand its workforce. TextQL, under the leadership of CEO Ethan Ding, aims to fully automate every stage of the data lifecycle. It simulates the experience of working with a human data analyst in order to achieve this.

Ana, the company’s analyst, connects to BI tools, integrates the whole data stack, and leads customers to pre-existing dashboards when a query has already been asked. When necessary, it can write semantic layer code in addition to documenting the semantic layer.

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It may accomplish this by referring to notes in Confluence or Google Drive, as well as documentation from enterprise data catalogues like Alation.

About TextQL

Organisations may streamline their data-to-insight process with the help of the TextQL platform. The platform provides self-serve power analytics by indexing BI tools and semantic layers, documenting data in dbt, and using language models and OpenAI.

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Non-technical users may deal with data more quickly and simply using TextQL by posing inquiries in the context of their work (Slack, Teams, email), and receiving safe, automated responses in a timely manner.

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