On April 21, 2026, SoundHound AI (Nasdaq: SOUN) announced the acquisition of LivePerson (Nasdaq: LPSN) for an equity value of $43 million — a premium of approximately 22% over the volume-weighted average of the last 30 days. The total implied enterprise value, after debt adjustments, is approximately $250 million. The closing is expected in the second half of 2026, subject to regulatory approvals.
What each company brings
SoundHound brings the agentic voice AI platform — with a consolidated presence in restaurants, automakers, financial services, healthcare, and retail. LivePerson brings the Conversational Cloud: a platform that processes approximately 1 billion customer messages per month across digital channels, with hundreds of long-standing enterprise relationships, many spanning more than a decade.
The combination creates what the companies describe as the most complete omnichannel platform on the market: voice, text, chat, mobile, and social integrated into a single solution.
The scale of the combined footprint
The combined company will serve enterprise customers in more than 30 countries: 12 of the 15 largest global banks, 4 of the 5 largest airlines, 4 of the 5 largest automakers, and more than 10 major telecommunications operators. At the top of the list: 25 Fortune 100 companies.
This is SoundHound's fifth strategic acquisition, after Amelia, Interactions, and others, accumulating more than 120 years of combined customer relationships and enterprise integrations.
The projected revenue opportunity
Combined revenue projected between $350 million and $400 million by 2027, with at least $100 million expected from LivePerson's existing customers. Through the cross-selling of voice capabilities to digital customers — and vice versa — the total opportunity is estimated at $500 million based solely on existing relationships.
What this signals for the market
The deal confirms the thesis that the customer service AI market is consolidating into bundled platforms. Companies that today operate separate chatbot and IVR solutions face growing pressure from platforms that deliver both channels with unified data and models trained in both contexts.

