After Selling His Last Startup to IBM, This Founder Now Wants to Bring ‘Agentic Memory’ to Enterprise Data
The term "AI agent" has become increasingly popular in recent years, but what exactly does it mean? At its core, an AI agent is a system that can make decisions and take actions on behalf of humans. While chatbots are often the first thing that comes to mind when thinking about AI agents, they represent just the tip of the iceberg.
Beyond Chatbots: The Future of AI Agents
Across AI, a fledgling startup led by co-founder and CEO Steven Mih, is working on developing a dynamic memory system for complex enterprise workflows. This platform promises to go beyond mere chatbots, providing a shared "agentic memory" that can be used to identify and qualify fresh sales opportunities, spot risks, and suggest questions sales teams should ask customers.
What is an Agentic Memory System?
The agentic memory system developed by Across AI is a web app and chatbot that connects to various parts of the enterprise stack, including CRM systems, communication and collaboration tools, calendars, and more. It builds a shared memory that continuously adapts to the user’s needs, providing real-time insights and suggestions.
Key Features of the Agentic Memory System
- Dynamic Memory: The agentic memory system is designed to learn from user interactions and adapt to changing circumstances.
- Real-Time Insights: The platform provides real-time insights and suggestions, enabling users to make informed decisions quickly.
- User-Friendly Interface: The web app and chatbot are designed to be intuitive and easy to use, minimizing the need for extensive training or support.
Enterprise Security and Compliance
Across AI recognizes that enterprise security and compliance are top concerns when it comes to deploying new technologies. To address these issues, they plan to offer both SaaS and cloud-premises deployment options, meeting the specific needs of each organization.
Experience and Expertise
Steven Mih’s background in developing infrastructure for Presto-based data analytics at Ahana is highly relevant to his current work on the agentic memory system. He understands the challenges enterprises face when trying to make sense of complex data ecosystems and has developed a unique perspective on how to address these issues.
Conclusion
The rise of AI agents like Across AI’s dynamic memory system represents an exciting new frontier in artificial intelligence development. With its ability to provide real-time insights, adapt to changing circumstances, and meet enterprise security and compliance requirements, this technology has the potential to transform the way businesses operate.
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