In the rapidly evolving landscape of artificial intelligence, the term “agentic memory” is gaining traction, though its definition remains a topic of debate among experts. At its core, agentic memory refers to an advanced system designed to enhance how artificial intelligence interacts with data, making it more responsive and tailored to users’ needs. This concept is particularly relevant in enterprise settings where vast amounts of data are generated and need to be utilized effectively.
Mih, the founder of Across AI, is at the forefront of this innovation. Having previously co-founded Ahana—a company backed by Google Ventures that specialized in commercial services utilizing the open-source SQL query engine Presto—Mih aims to address a critical gap in the enterprise sector. His latest venture focuses on developing a dynamic memory system intended to streamline complex workflows within organizations.
Importance of Enterprise Data
The significance of data in today’s business environment cannot be overstated. Enterprises generate extensive data daily, which can provide valuable insights if harnessed correctly. However, many organizations face challenges in accessing and analyzing this data promptly and accurately. This is where Mih’s vision for agentic memory becomes crucial.
Agentic memory systems prioritize information based on contextual importance, ensuring that users can quickly obtain the most relevant data when needed. This capability is particularly beneficial for sales teams, who often struggle to find the right information amidst a sea of data. By enhancing data accessibility and relevance, Across AI aims to empower enterprises to make informed decisions more efficiently.
The Concept of Memory in Technology
Memory in technology encompasses how systems store, retrieve, and utilize information to improve user experience. Traditional memory systems often fall short in dynamic environments where data changes frequently. Agentic memory seeks to redefine this concept by creating a system that adapts and evolves based on user interactions and contextual changes.
Mih emphasizes that a successful agentic memory system must incorporate robust data security measures. As enterprises are increasingly cautious about adopting generative AI due to privacy and security concerns, Across AI positions data security as a foundational aspect of its platform. This approach not only builds trust but also aligns with compliance requirements that many enterprises face today.
Across AI’s agentic memory system offers several unique features designed to enhance enterprise workflows. Key characteristics include:
- Contextual Prioritization: Information is prioritized based on its relevance to the user’s current task or inquiry.
- SaaS and Cloud-Premises Options: To meet varying enterprise security and compliance needs, Across AI will provide both Software as a Service (SaaS) and cloud-premises deployment options.
- Integration Capability: The platform will function as a web app and chatbot, seamlessly connecting various parts of an enterprise’s tech stack.
These features are designed to ensure that enterprises can leverage their data effectively while maintaining high standards of security and compliance.
Mih’s entrepreneurial journey began with his work at Ahana, which he co-founded and led as CEO. The company focused on creating commercial solutions around Presto, an open-source SQL engine that emerged from Facebook in 2013. Under Mih’s leadership, Ahana flourished, ultimately leading to its acquisition by IBM last year for an undisclosed amount.
Following the acquisition, Mih spent 14 months at IBM, further refining his understanding of enterprise needs and challenges related to data management. This experience equipped him with valuable insights that would later inform his approach to building Across AI.
Transitioning from IBM to New Ventures
After concluding his tenure at IBM, Mih recognized an opportunity to innovate within the enterprise data space. He launched Across AI with a clear mission: to develop an advanced memory system that could fundamentally change how organizations interact with their data. With $5.75 million raised in a seed funding round co-led by Cota Capital and Village Global, Across AI is poised for growth.
Mih believes that the future success of AI application companies hinges on their ability to help users analyze large datasets quickly and efficiently. As he embarks on this new venture, Mih is committed to addressing the pressing concerns surrounding data privacy and security while enhancing the functionality of enterprise systems.
Across AI stands as an example of how innovative thinking can lead to transformative solutions in the business world. With the potential to reshape how enterprises manage their data, agentic memory could become a cornerstone of future organizational success.
Featured image courtesy of across.ai