BentoBox co-founder Krystle Mobayeni joins Slang AI board
Restaurant voice AI company Slang AI says former BentoBox chief executive Krystle Mobayeni has joined its board as it looks to expand its platform for restaurant operators.
Slang AI says BentoBox co-founder and former chief executive Krystle Mobayeni has joined its board of directors, adding restaurant technology experience as the company develops its AI-powered voice platform.
In a company announcement distributed through PRNewswire, Slang AI described itself as a voice AI platform built for restaurants. It said its system handles guest phone conversations around the clock, with the aim of helping restaurants capture demand and free staff to focus on hospitality.
The company said Mobayeni co-founded BentoBox in 2013 and spent more than a decade building technology for restaurants and their guests. According to the announcement, BentoBox grew into a platform serving more than 15,000 restaurants globally before being acquired by Fiserv in 2021.
Slang AI also said Mobayeni later served as senior vice president, head of restaurants at Fiserv, where she worked across restaurants as technology became more central to operations and customer engagement.
The announcement positions the board appointment as part of Slang AI’s next phase of growth, particularly as it expands work with multi-location and enterprise restaurant brands. It also frames restaurant phone management as a persistent operational challenge that AI voice tools may address.
The release included comments from Slang AI co-founder and chief executive Alex Sambvani, who said Mobayeni’s experience across restaurant operations, guest needs and technology would be valuable as AI creates another shift for the sector.
Unresolved from the announcement are the terms of Mobayeni’s board appointment, whether she is replacing another director, and whether the move is linked to any new funding, partnership or product launch. No financial details were disclosed in the supplied material.
BIT editors check claims against the linked sources before publication.
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