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Jared Zhao, first of interested in timely information analysts in Berkeley, because he can convert raw data to a story. Zhao, in 2021 set up the starting layer of the first data analysts. However, a year later, progress in a generative AI, a year later politle decided to do what users would seek and change the course in the world of Post-Chatgept.
There was a result Athenic aiA company that uses the EU uses information analysts for enterprises on all sources of information. The founder and CEO are designed to be the central nervous system of a member of an organization, which can be used by anyone in the company, regardless of Atheni products, coding or information experience.
Zhao (Center described above) added that Athenik may work with companies to understand the EU “tribal knowledge”, KPIS or internal terminology, the EU is in the necessary context to work with relevant analytics.
In each information report, the AI-Stenghriven system contains how the EU has commented on how to record potential errors and to give AI model feedback. Zhao, if they want to be close to visibility and want to be close to 100% accuracy as AI, human information analysts cannot be 100% accuracy.
“Even if the system is wrong, it knows that it can be wrong and thinks that the user can be wrong,” Zhao said. “And that’s a good information analyst. Only do not give you a report or schedule, which gives you an executive summary that explains how to make it to make it.”
The company was established in 2022 and was put into operation in the summer of 2022. Zhao said that the company has found a lot of smaller customers through foreign sales leaders, but most of the company’s customers are interested in their own interest.
San Francisco-based Atthenik, now, declares a $ 4.3 million seed round by participating in TENVC, SCRUM enterprises and Stage 2. Zhao said he would be aimed at hiring money and establishing new technological opportunities.
“Today, the user asks questions and removes concepts from the system they want to see,” he said. “The information we want to offer to the user before asking the user is a world where there is a kind of understanding that is innate.”
Samantha Huang, a major in BMW I Ventures, TechCrunch, said they met Athenic in a random way. Huang decided to make the company better to feel better than the AI startup ecosystem in general and usually reached the beginning of the AI, which can generally get a vibe check.
Atrentic was one of them. Huang, another information about the company is up, has stated from analytical companies, the companies have emerged due to the help of a special context and knowledge that buys AI models.
“Many companies will use these common, paid, basic models, but if you do not know what information in the problem, technically, model, customer environment,” he said. “Jared has received a new approach by combining a knowledge schedule that allows you to face a knowledge schedule and this problem.”
The information analytical market is crowded and likely to improve the generative AI and how many more companies can develop and use the EU management and use it. Databricks This sector is only an example in this sector, which is more than $ 19 billion and currently estimated at $ 62 billion. There are also numerous information storage and optimization-oriented companies that can be easily expanding this space.
Zhao thinks companies that provide a lot of attention to the company’s practice and helping the AI models to separate the context of the relevant company.
“We just think that all the information is technically, there are a large number of enterprises running without the necessary information,” Zhao said. “The above people are sometimes out of ignorance, not beyond ignorance, and it is a problem we want to really solve.”
