Jared Zhao’s fascination with data analytics began at UC Berkeley, where he was captivated by its ability to transform raw data into compelling narratives. In 2021, he launched his first data analytics startup, Polyture. However, following the rapid developments in generative AI just a year later, Zhao recognized that the complexity of Polyture’s offerings might not align with user expectations in the evolving landscape shaped by ChatGPT, prompting him to pivot.
This led to the creation of Athenic AI, a firm that leverages artificial intelligence to conduct data analytics for enterprises, integrating all available data sources. As the founder and CEO, Zhao explained that Athenic’s solutions are designed to function as the central nervous system for an organization’s databases, making them accessible to all employees, irrespective of their coding or analytical skills.
Zhao (centered in the image above) emphasized that Athenic is designed for adaptability, collaborating with companies to incorporate their unique “tribal knowledge,” key performance indicators (KPIs), and internal jargon, ensuring the AI understands the necessary context for accurate analytics.
Each data report generated by the AI-driven system includes an explanation of the AI’s data interpretation, facilitating users in identifying possible discrepancies and providing feedback to enhance the AI model. Zhao noted that while achieving near-perfect accuracy is a goal, human data analysts also face limitations in reaching complete accuracy.
“Even if the system makes a mistake, it acknowledges the possibility of error and clarifies to the user why it believes it might be incorrect,” Zhao said. “This mirrors the work of a proficient data analyst, who not only presents reports or graphs but also provides an executive summary elucidating the analysis process.”
Founded in 2022, Athenic introduced its product in the summer of the same year. Since its launch, the company has attracted a diverse customer base, ranging from startups to large enterprises like Additel and PMC. Zhao mentioned that while smaller clients were often secured through outbound sales, most enterprise customers were attracted through inbound interest.
Based in San Francisco, Athenic recently announced a $4.3 million seed funding round led by BMW i Ventures, with contributions from TenVC, Scrum Ventures, and Stage 2 Capital, among others. Zhao indicated that the funding will be utilized for hiring and developing new technological capabilities.
“Currently, users can ask specific questions and extract insights from the system,” Zhao noted. “However, we envision a future where the data itself may contain inherent insights that we can proactively suggest to users without them having to ask.”
Samantha Huang, a principal at BMW i Ventures, shared with TechCrunch that her introduction to Athenic was somewhat serendipitous. Huang explained that her firm aimed to better understand the AI startup landscape and reached out to numerous AI companies for exploratory discussions.
Athenic distinguished itself among data analytics firms by enabling companies to tailor their AI models with specific context and knowledge relevant to their operations, Huang noted.
“Many companies leverage generic, monetized foundational models, but the challenge is that these models lack effectiveness without understanding the specific data within a customer’s environment,” she explained. “Jared approached this issue innovatively by integrating a knowledge graph with foundational models to create a cohesive solution.”
With a growing number of companies seeking to enhance data management and utilization through generative AI, the data analytics market is becoming increasingly competitive. Companies like Databricks, which has raised over $19 billion in venture capital and is valued at $62 billion, exemplify the sector’s growth—alongside numerous data storage and optimization firms eyeing similar expansions.
Zhao believes that Athenic’s emphasis on user experience and ensuring that AI models are equipped with the correct company context is what differentiates them in this crowded space.
“We recognize that many businesses operate without the essential insights, even though all the necessary data is available,” Zhao remarked. “Often, leaders are navigating through uncertainty, and addressing this gap is a challenge we are determined to overcome.”
TechCrunch offers an AI-focused newsletter! Subscribe here to receive it in your inbox every Wednesday.
Compiled by Techarena.au.
Fanpage: TechArena.au
Watch more about AI – Artificial Intelligence
