How SoundHound's Agentic AI Is Reshaping Enterprise CX

SoundHound AI SOUN is entering a decisive phase of enterprise adoption as its Agentic+ framework becomes the centerpiece of a broad customer-experience transformation. The company’s third-quarter 2025 results underscore this momentum: revenue grew 68% year over year to $42 million as enterprise deployments expanded across financial services, healthcare, insurance, telecom and retail.

At the core of this growth is SoundHound’s Agentic AI architecture, now embedded in its Amelia 7 platform. The latest 7.3 update incorporates the firm’s proprietary Speech-to-Meaning technology, enabling industry-leading latency and more natural interactions—capabilities that matter deeply in high-volume contact center environments. This hybrid system blends generative AI, deterministic flows, and multi-agent orchestration to deliver reliability, context awareness, and safe automation—solving the common enterprise challenge of AI projects that stall before full deployment.

Enterprise use cases are scaling quickly. Early Agentic AI customers are achieving up to 10-fold improvement in containment, 25% higher Net Promoter Scores, and 15% higher customer satisfaction, while requiring far less deployment effort than legacy platforms. SoundHound’s acquisition of Interactions further expands workflow automation, deepening its reach into Fortune 100 accounts and supporting complex service environments.

The strategic significance is clear — SoundHound is positioning itself as a next-generation CX infrastructure provider at a time when enterprises demand scalable AI automation, multimodal interfaces, and privacy-controlled deployments. With a strengthened balance sheet, rising backlog, and a broadened enterprise footprint, the company is executing on a path toward breakeven profitability in 2026 while capturing a growing share of the $140 billion conversational AI market opportunity.

SoundHound’s Agentic AI is no longer a concept—it is a commercial engine reshaping how enterprises interact with their customers.

SoundHound’s Competitive Position in the CX Race

In the rapidly evolving enterprise CX market, Nuance, now part of Microsoft MSFT, and LivePerson LPSN remain two of the most visible competitors to SoundHound, each pushing the industry toward more automated, conversational interfaces. 

Nuance continues to leverage its long-standing healthcare and call-center footprint, and it is repeatedly cited for its strong ASR and clinical documentation tools. Yet as Nuance expands its AI stack, it often relies on legacy architectures that lack the multimodal, real-time agentic orchestration SoundHound is now offering. 

LivePerson, similarly, has deep roots in digital messaging, and it has been attempting to pivot into agentic automation. But LivePerson still focuses heavily on text-based interactions, and it has struggled with platform modernization and customer churn. Against this backdrop, SoundHound’s Agentic+ framework, real-time Speech-to-Meaning engine, and multimodal orchestration distinguish it meaningfully from Nuance and LivePerson, especially for enterprises seeking higher containment and natural voice-led automation.

SOUN’s Price Performance, Valuation and Estimates

SoundHound shares have lost 36.1% year to date compared with the Zacks Computers - IT Services industry’s 13.6% decline. SOUN stock has lagged the broader Computer and Technology sector and the S&P 500, as shown below.

SOUN's Price Performance

Image Source: Zacks Investment Research

In terms of its forward 12-month price-to-sales ratio, SOUN is trading at 23.06, up from the industry’s 17.01.

SOUN's Valuation

Image Source: Zacks Investment Research

Over the past 30 days, the Zacks Consensus Estimate for SOUN’s 2025 loss per share has remained unchanged at 13 cents. The estimated figure indicates an improvement from the year-ago loss of $1.04 per share.

Image Source: Zacks Investment Research

SOUN currently carries a Zacks Rank #4 (Sell).

You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.

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This article originally published on Zacks Investment Research (zacks.com).

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