Jared Zhao was originally concerned with data analyzes during his time at the University of California, Berkeley, because he was withdrawn to how to convert primary data into a story. Zhao established the first startup in data analysis in 2021. But developments in the AI after only one year made Zhao realize what Polyturie was very complicated by what users will search for in the post -separation world, and decided to change the path.
The result was AI AIThe company that uses artificial intelligence to operate data analyzes for institutions through all their data sources. Zhao, founder and CEO, said AThenic products are designed to be a central nervous system for the institution’s databases that anyone can use in the company regardless of the coding or data experience.
Zhao (in the image above in the center) added that ATHENIC was designed to be flexible and can work with companies to make artificial intelligence to understand “tribal knowledge” or major performance indicators or internal terms so that artificial intelligence has the context required to operate appropriate analyzes.
Each data report includes that withdrawing the AI-AI-A-AF system an explanation of how to explain the artificial intelligence of data, which makes it easy for users to determine potential errors and give the artificial intelligence model notes. Zhao added that this helps in vision and that while they want artificial intelligence to get nearly 100 % accuracy as possible, human data analysts cannot reach 100 % accuracy as well.
“Even when the system is wrong, he realizes that he may be a mistake, and explains to the user why he believes that he may be a mistake,” said Zhao. This is what a good data analyst does. They not only give you the report or graph, but also give you an executive summary that explains how you should explain this and what they did to do this analysis. “
The company was founded in 2022 and launched its product in the summer of 2022. Since its launch, ATHENIC has been able to land on customers ranging from small startups to large companies including AdDitel and PMC. Zhao said that the company had found many of its smaller customers through external sales, but the majority of its customers in the institutions came from the incoming interest.
San Francisco -based ATHENIC now has now announced a $ 4.3 million seed tour led by BMW I with the participation of TENVC, Scrum Ventures and Stage 2 Capital, among other things. Zhao said the money will be placed towards employing and building new technical capabilities.
“Today, the user asks the questions and pulls visions outside the system they want to see,” said Zhao. “There is also a world where the data contains a kind of fungal insight for the data that we will want to suggest to the user before they ask.”
Samantha Huang, a manager of BMW I Ventures, told Techcrunch that she got acquainted with ATHENIC in a random way. Huang said that her company decided to better feel the ecosystems to start the AI and “boiling the ocean” by reaching the largest possible number of startups from artificial intelligence to obtain an atmosphere examination.
Athentic was one of them. Huang said that the company has emerged from other data analysis companies because of the fact that it helps companies to create artificial intelligence models with a context and knowledge of the company.
She said: “Many companies will use these general, designated models, but the problem is, technically, the model, it is a kind of stupidity if you do not know what data looks in the customer’s environment.” “Jared follow a new approach, as it combines a graph of knowledge in addition to the founding models that allowed him to block this problem.”
Data analysis market is crowded, and it is possible that it will increase in an improvement in artificial intelligence and more companies aspire to take advantage of how to improve artificial intelligence to manage and use its data. Databricks is just one example in this sector, which raised more than $ 19 billion in investment capital and is currently $ 62 billion. There are also many companies that focus on storing data and focusing on improvement that can easily expand in this space.
Zhao believes that the companies’ approach to focusing greatly on the user experience and ensuring that artificial intelligence models have the appropriate context of the company helps to distinguish it.
“We only think there are a lot of companies that are operating without appropriate knowledge, although all data are technically present,” said Zhao. “People at the top sometimes, not out of ignorance, often fly blind, and this is the problem that we really want to solve.”
