Hilbert receives $28M to facilitate analytics projects at consumer-focused companies

Hilbert AI Co., a provider of business-to-consumer product analytics software, today announced that it has closed a $28 million funding round led by Andreessen Horowitz.

Companies collect data about consumers’ purchasing choices to find ways to improve their sales and marketing efforts. The more customers a company has, the more information it can collect. Large B2C brands have more than millions of customers, which is reflected in the size and complexity of their marketing datasets. Analyzing such data sets can be technically challenging.

Hilbert’s platform uses artificial intelligence agents to facilitate B2C product analysis projects. According to the company, its software can complete analytical tasks that would normally take months in minutes. Users specify which tasks should be performed and how by using a natural language interface.

One of the reasons it is difficult to analyze customer data records for B2C products is that they often contain a variety of records. Those records range from simple purchase logs to attribute tables, complex spreadsheet field collections that track whether an ad led to a purchase. In addition, such records are accompanied by metadata such as schemas. A schema is a file that defines how the content of a database should be formatted.

Hilbert’s platform organizes product data sets into a form that can be analyzed by AI agents. According to the company, the data points are related to the same customer collected in a file called Hilbert Label. It contains important information such as whether the customer is at risk of unsubscribing or may be open to sales offers. Hilbert updates the file regularly as new data sets are added.

“What used to be a six-month, multi-head project can now be rolled out in weeks,” wrote Andreessen Horowitz investors Bryan Kim, James da Costa, and Andrew Chen in a statement. blog post. “And a good data base doesn’t just save money on accounting. It makes every dollar of growth smarter, every assessment more reliable.”

After a B2C company’s data is entered, Hilbert analyzes it to find significant business events. The platform can, for example, detect if the performance of a certain advertising channel suddenly increases. The software not only informs the marketing team but also shows the cause of change.

Finding marketing inefficiencies is another task Hilbert promises to make easy. The platform recognizes ad formats and discounts that do not match the high demand. In addition, it doubles as a forecasting tool that can predict future events such as customer base growth.

Today’s investment will enable Hilbert to hire more staff. Job postings on the company’s website show that it plans to expand its go-to-market and engineering teams.

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