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When As a result The founders worked as software engineers in the LYFT Autonomous Vehicle Program, a beer information infrastructure program, which will be larger with the rise of a beer information infrastructure.
Self-driving cars produce a ton of structure from 3D scans and photos and vices. For LYFT engineers, there was no tool that could understand and process all kinds of information at the same time – and all in one place. These left engineers will bring open source tools in a long process with reliability problems.
“We worked on all these bright people, but in the autonomous vehicles, but in the latest interview, we had 80% of the time to work on the main application infrastructure.” And most of these problems were around information infrastructure. “
Sidhu and Chia have helped create an internal multimodal data processing tool for LYFT. When Sidhu set off to address other work, the interviewees said they were trying to ask for the same information solution for his companies and said that the idea was born in the end.
As a result, a python-native open source data processing engine, known as Daft, is designed to work between text and video and more different modals. Sidhu said that the goal is to make a tact as transformed into the infrastructure of the unstructured information infrastructure, as in the past, in the past.
The company was founded in early 2022, a year ago and many people were aware of this information infrastructure cavity. In 2022, they launched the first open source of source of Daft and are preparing to launch an enterprise in the third quarter.
“ChatGpt’s explosion is many people who build AI applications, which are different types of different types after what we see,” Sidhu said. “Then everyone has started a kind of work, and the use of things such as pictures and documents and videos in their applications, and the use of a kind and use of us.”
There are many other industries that provide a large number of information, including original ideas, robotics, retail technologies and health, originally due to the construction daft, caused by the autonomous vehicle. The company is now counted with AI as customers, amazon, cloudkitchens and others.
Recently, two rounds raised financing in eight months. First, the $ 7.5 million seed led by CRC was round. Recently, the company gathered a number of $ 20 million with the participation of Microsoft M12 and Citi.
This latest round, the last time the open source proposal, as well as creating a commercial product that allows customers to build AI apps, will also create a commercial product.
The general partner in Felicis, TechCrunch, TechCrunch, Multimodal AI models that search for information that can support the growing number of Multimodal AI has resulted in a market mapping exercise.
Myers stopped because the first movver in space is the first movver – it will probably be more crowded and the founders are involved in the problem of processing this information. He added that the resulting problem is also solving the growing problem.
The Multimodal AI industry is expected to grow in A 35% ink annual growth rate Between 2023 and 2028, according to management consulting firms marketsandmarkets.
“In the last 20 years, the annual information generation is 1000x and 90% of world data, the vast of the data, the vast of the data,” said the IDC, “he said. “The conservative AI, built around Daft, text, image, video and voice, is in line with this giant macro trend. You need a multimodal-local data processing engine.”
