JARED ZHAO was originally interested in data analysis while enrolled in UC Berkeley. Because he was attracted to how to turn raw data into a story. ZHAO established the first data analysis startup polygine in 2021. However, a year later, due to the progress of the generated AI, Zhao recognizes that what Polyture was built was too complicated to what users were looking for in the world after the chat grit, and decided to change the course. I did it.
As a result, ATHENIC AI was born, which uses AI to perform data analysis for companies in all data sources. The founder and CEO Zhao stated that ATENIC products are designed to be the central nervous system of an organization that can be used by anyone in the company, regardless of coding or data experience.
AI (the photo above the center) is built so that Athenic is flexible, and AI is appropriate because it can understand the “tribal knowledge” of the company, or internal terms by collaborating with the company to acquire AI. We added that we can have the necessary context to execute the analysis.
Each data report AI -driven system pull contains explanations about how AI interpreted data, making it easier for users to find potential errors, making it easier to provide AI model feedback. Zhao added that this is useful for visibility and wants to get 100 % accuracy as much as possible, but human data analysts cannot reach 100 % accuracy.
“I know that it may be wrong even if the system is wrong, and I will explain why I think it's wrong,” says Zhao. “And that's what a good data analyst does. They not only give you a report or chart, but how you should interpret it, and what they did to perform this analysis. Give you an executive summary. “
The company was established in 2022 and launched a product in the summer of 2022. Since its launch, Athenic has been able to acquire customers from small startups to large companies such as Adithel and PMC. Zhao said that although many small customers have been found through outbound sales leads, most of the corporate clients have come from inbound interest.
Athenic, based in San Francisco, has now announced a $ 4.3 million seaward led by BMW I Ventures from Tenvc, Scrum Ventures, Stage 2 Capital, and others. ZHAO stated that the money would be directed to the recruitment and construction of new technical skills.
“Today, the user asks questions and draws insights from the system they want to see,” said Zhao. “There is a world with some insights in the data that the user wants to propose before asking the data.”
Samantha Huang, the principal of BMW I Ventures, told TechCrunch that it was introduced in Athenic in a random way. Huang stated that her company decided to feel better on the AI startup eco system in general, and to reach out to as many AI startups as possible to get the atmosphere check, “the sea has boiled.”
Athenik was one of them. Huang stated that the company is outstanding from other data analysis companies because companies can help configure AI models with corporate -specific context and knowledge.
“Many companies use these common and monetized basic models, but the problem is that they are models if they do not know how customer environment data looks like. “She said. “JARED has taken a new approach by combining knowledge graphs and basic models that can fill the problem.”
The data analysis market is crowded, and as the number of companies trying to improve the management and use of data is increasing, the more likely it is increasing. DataBricks is only one example of this sector, procuring more than $ 19 billion of venture capital and is currently rated $ 62 billion. There are also companies that focus on data storage and optimization that can be easily expanded in the field.
ZHAO believes that the approach of companies focusing on user experience and confirming that AI models have the appropriate company context will help to distinguish them.
“I think there are too many businesses that are running without proper knowledge, despite all the data there,” Zhao said. “Sometimes, not ignorant, but often blindly flying. That is a problem we really want to solve.”