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Incresting Business Data Intelligence with TextQL’s Cutting-Edge AI Technology

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But the two engineers, who met a few years ago during the pandemic, are nothing if not optimistic. Hay and Ding are the co-founders of TextQL, a platform that connects a company’s existing data stack to large language models along the lines of OpenAI’s ChatGPT and GPT-4. In 2022, they launched their attempt in TextQL, which uses a data model to map a company’s database to the “nouns” representing a customer’s business in their language — e.g. TextQL connects to business intelligence tools and points users to existing dashboards when a question has already been asked. It’s able to reference documentation from enterprise data catalogs such as Alation, Hay says, as well as notes in platforms like Confluence or Google Drive.

The Potential Impact of AI Startups’ Profit Margin on Their Future Valuation

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The expectation that modern AI tech will find a home in every part of our lives is pandemic. Fittingly, startups and investors are working overtime to build and fund new technology companies to either create or implement new AI tech. But despite all the enthusiasm, there’s a niggling detail that deserves our attention: AI startups often have worse economics than most software startups. The conversation around AI gross margins is not new. Back in 2020, venture firm a16z argued that AI startups would have lower gross margins due to “heavy cloud infrastructure usage and ongoing human support.”