Summary:
Across AI emerges from stealth, led by Steven Mih, ex-CEO of a startup sold to IBM.
Targets chief revenue officers with a platform that creates agentic memory for sales optimization.
$5.75 million raised in seed funding co-led by Cota Capital and Village Global.
Integrates seamlessly with tools like Slack and Microsoft Teams for just-in-time assistance.
Focuses on data security, ensuring sensitive information remains protected.
Transforming Enterprise Workflows with Agentic Memory
Agentic AI startup Across AI has emerged from stealth mode, led by Steven Mih, a founder who recently sold his previous startup to IBM. This new venture aims to develop a dynamic memory system that enhances complex enterprise workflows.
The platform is designed for chief revenue officers and sales teams, integrating with various internal and external data sources to create a shared agentic memory. This innovative system helps identify and qualify new sales opportunities, assess risks, and recommend pertinent questions for customer interactions.
"Sales teams often struggle with obtaining and utilizing the right information when they need it," says Mih, emphasizing the inefficiencies caused by the bottleneck of critical knowledge.
The Team Behind Across AI
Mih is joined by Dr. Niloufar Salehi and Dr. Afshin Nikzad, esteemed professors from UC Berkeley and Stanford University. They have conducted extensive research on enhancing AI efficacy in high-stakes environments.
The startup has successfully raised $5.75 million in a seed funding round co-led by Cota Capital and Village Global, which counts top investors like Bill Gates and Jeff Bezos.
Building a Contextual Memory
Across AI will function as a web app and chatbot, seamlessly integrating into users' existing workflows, such as Slack and Microsoft Teams. The system is designed to provide just-in-time assistance without disrupting user flow, continuously adapting its memory to retain only relevant information.
Mih explains that the system will prioritize data based on contextual importance, tracking updates and recognizing outdated information. This approach aims to overcome the traditional AI tendency to treat all data equally.
Data Security at the Core
Data privacy and security are paramount concerns for enterprises adopting generative AI. Across AI's memory system operates within the company's secure environment, ensuring sensitive data remains protected and compliant with regulations.
Mih’s experience at Ahana, which focused on querying large datasets, informs the mission of Across AI — to help users navigate complex data ecosystems efficiently.
Image Credits: Across AI
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