Transform 2024 returns this July! Over 400 enterprise leaders will gather in San Francisco from July 9-11 to dive into the advancement of GenAI strategies and engaging in thought-provoking discussions within the community. Find out how you can attend here.
In the rush to train AI in a company’s knowledge library, the reality is that some important information may inadvertently be left out. It’s easy to upload images, videos, documents and spreadsheets to educate models, but what about other unstructured data types like invoices, emails, and PDFs? Though it is possible to convert those files into something searchable, it’s done manually and is time-consuming—not to mention that engineering teams may not have the machine-learning capabilities necessary.
However, one company believes it has a solution organizations are looking for. Founded by Antonio Bustamante and Upal Saha, Bem is an AI data interface company that provides an API developers can use to convert any input, structured or unstructured, into any data shape. The startup has raised $3.7 million in seed funding to support this mission, with the round led by Uncork Capital. Lookout’s founder Kevin Mahaffey, Roar Ventures, and angel investors such as Y Combinator’s Garry Tan also participated.
“Engineering teams spend about 44 percent of their time building and then monitoring and maintaining their data pipelines,” Bustamante writes in a statement. “At our core, Bem is an AI data interface, redefining the scope of interoperability and integration to save time and frustration for these teams so that they can focus on what truly matters to their product. Our goal is for engineers to not worry abou …
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Transform 2024 returns this July! Over 400 enterprise leaders will gather in San Francisco from July 9-11 to dive into the advancement of GenAI strategies and engaging in thought-provoking discussions within the community. Find out how you can attend here.
In the rush to train AI in a company’s knowledge library, the reality is that some important information may inadvertently be left out. It’s easy to upload images, videos, documents and spreadsheets to educate models, but what about other unstructured data types like invoices, emails, and PDFs? Though it is possible to convert those files into something searchable, it’s done manually and is time-consuming—not to mention that engineering teams may not have the machine-learning capabilities necessary.
However, one company believes it has a solution organizations are looking for. Founded by Antonio Bustamante and Upal Saha, Bem is an AI data interface company that provides an API developers can use to convert any input, structured or unstructured, into any data shape. The startup has raised $3.7 million in seed funding to support this mission, with the round led by Uncork Capital. Lookout’s founder Kevin Mahaffey, Roar Ventures, and angel investors such as Y Combinator’s Garry Tan also participated.
“Engineering teams spend about 44 percent of their time building and then monitoring and maintaining their data pipelines,” Bustamante writes in a statement. “At our core, Bem is an AI data interface, redefining the scope of interoperability and integration to save time and frustration for these teams so that they can focus on what truly matters to their product. Our goal is for engineers to not worry abou …nnDiscussion:nn” ai_name=”RocketNews AI: ” start_sentence=”Can I tell you more about this article?” text_input_placeholder=”Type ‘Yes'”]