eSelf, a startup enabling businesses to deploy face-to-face (F2F) conversational AI agents, officially announced the launch of its solution along with $4.5 million in Seed funding. The funding round was led by Explorer Investments, with participation from Ridge Ventures and strategic angel investors, including Eyal Manor.
eSelf has facilitated millions of real-time conversations for clients such as Christie's and Brazil's AGI Bank, offering businesses customizable, human-like AI Agents capable of real-time video chat interactions.
eSelf was co-founded by CEO Dr. Alan Bekker, a deep learning pioneer in Israel and former Head of Conversational AI at Snap (co-founder of Voca—acquired by Snap for $100 million), and CTO Eylon Shoshan, a graduate of the 8200 unit.
The eSelf platform allows businesses to create and deploy AI Agents for F2F video conversations, seamlessly integrating with existing systems and workflows. Through a self-service studio, businesses can customize their agents' personalities, knowledge bases, and capabilities without requiring technical expertise. The platform integrates with tools like Salesforce and Calendly, enabling agents to access real-time product and service data and perform actions such as scheduling appointments.
Christie's employs eSelf's conversational AI Agent in its Portugal real estate brokerage firm as a first contact for potential buyers. The AI Agent qualifies leads by assessing buyers' requirements and budgets, drawing from Christie's property database in real-time to present relevant listings with images and details. At AGI Bank, one of Brazil's largest digital banks serving over 10 million customers, eSelf’s virtual agents guide users through digital banking services. Similarly, Hong Kong’s DL Holdings uses multilingual eSelf agents to deliver financial advisory services in English and Mandarin.
While eSelf focuses on enterprise solutions, the platform has seen significant organic consumer interest in F2F AI interactions. A website demo attracted hundreds of thousands of users, resulting in millions of conversations with eSelf’s AI Agents, particularly in the US market.
The startup's advantage against incumbent foundation model developers sits in the latency of creation and interaction, faster than prevailing model capabilities.
