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Slang AI raises $36m to advance hospitality voice platform

The company will use the new funds to further develop its agentic voice AI for guest communication.

Umesh Ellichipuram February 25 2026

Slang AI, a voice-enabled AI platform for the hospitality industry, has closed a $36m Series B round led by US Venture Partners (USVP).

The financing package, which includes $28m in equity and $8m in debt, takes the company’s total funding to $68m.

Thayer Investment Partners and former Stripe COO Claire Hughes Johnson also joined the round, along with existing backers that include Collide Capital, Homebrew, Stage 2 Capital, and Underscore VC.

Slang AI’s platform is built to handle incoming guest calls in restaurants, hotels and venues.

It describes its custom-trained voice AI platform as ‘Superhost’, which can answer “every inbound guest call with precision, warmth and professionalism”.

The system runs 24/7 and is designed to manage tasks such as taking reservations, routing higher-value or complex requests to staff, handling guest questions in real time, and recognising repeat and VIP visitors.

Slang AI plans to use the new capital further to build out its agentic voice AI for guest communication. It seeks to enable restaurants, hotels, and venues eliminate missed calls, improve revenue capture and support existing teams by extending service capacity.

The tool will also help in generating data-led insights for operations and customer relationships.

Slang AI will also use the proceeds to deepen its AI capabilities and develop multi-modal experiences beyond voice.

The company also intends to expand its engineering, product and go-to-market teams and to grow its partner ecosystem to support wider adoption across hospitality operators.

Slang AI co-founder and CEO Alex Sambvani said: “This funding round will empower us to make the Slang platform even more personal, more proactive, and more intelligent.

“It will remember even more about guests' history and preferences, and bring them back through thoughtful, one-to-one outreach.

“And it will give operators real-time insight into both guest experience and team performance, so issues surface early, and service keeps getting better.”

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