Reported Earnings • May 11
First quarter 2026 earnings released: US$0.73 loss per share (vs US$2.32 loss in 1Q 2025) First quarter 2026 results: US$0.73 loss per share (improved from US$2.32 loss in 1Q 2025). Revenue: US$57.0m (down 12% from 1Q 2025). Net loss: US$8.83m (loss narrowed 38% from 1Q 2025). 공시 • Apr 23
SoundHound AI, Inc. (NasdaqGM:SOUN) entered into a definitive agreement to acquire LivePerson, Inc. (NasdaqGS:LPSN) for $45.2 million. SoundHound AI, Inc. (NasdaqGM:SOUN) entered into a definitive agreement to acquire LivePerson, Inc. (NasdaqGS:LPSN) for $45.2 million on April 21, 2026. As part of consideration, SoundHound AI, Inc. will issue common shares to the shareholders of LivePerson, Inc. SoundHound is acquiring LivePerson for an equity value of $43 million, representing approximately a 22% premium over the corresponding 30-day volume-weighted average value. At closing, SoundHound expects to receive $74 million of LivePerson’s cash balance prior to repayment of the 2026 Convertible Senior Notes. After taking into account significant discounts on LivePerson’s remaining debt, the transaction implies a total enterprise value of $250 million. At closing, SoundHound will retire the discounted debt with a mix of cash and equity, at SoundHound’s discretion. The combined company is expected to have a strong balance sheet with no debt. Upon completion, LivePerson, Inc. will operate as wholly owned subsidiary of SoundHound AI, Inc. In case of termination of transaction, LivePerson, Inc. will pay a termination fee of $5 million plus the Company’s transaction expenses which is capped at $3.75 million.
The transaction is subject to approval of offer by shareholders of LivePerson, Inc., registration statement effectiveness(S-4 / F-4), listing / approval of new shares on stock exchange customary regulatory approvals and closing conditions. The deal has been unanimously approved by the board of directors of LivePerson, Inc. The transaction is expected to close in the second half of 2026.
Luke Bergstrom, Max Schleusener and Lauren Lefcoe of Latham & Watkins LLP acted as legal advisor to SoundHound AI, Inc. Philip Richter, Mark Hayek and Adam Cohen of Fried, Frank, Harris, Shriver & Jacobson LLP acted as legal advisor to LivePerson, Inc. Barclays Capital Inc. acted as financial advisor to SoundHound AI, Inc. Lazard Freres & Co. LLC acted as financial advisor to LivePerson, Inc. Houlihan Lokey Capital, Inc. acted as fairness opinion provider and financial advisor to LivePerson, Inc. Reported Earnings • Mar 13
Full year 2025 earnings released: US$8.57 loss per share (vs US$22.70 loss in FY 2024) Full year 2025 results: US$8.57 loss per share (improved from US$22.70 loss in FY 2024). Revenue: US$243.7m (down 22% from FY 2024). Net loss: US$67.2m (loss narrowed 50% from FY 2024). 공시 • Mar 13
LivePerson, Inc. Provides Earnings Guidance for the First Quarter of 2026 and Full Year 2026 LivePerson, Inc. provided earnings guidance for the first quarter of 2026 and full year 2026. For the first quarter of 2026, the company currently expect total revenue to range from $53 million to $55 million or (18)% to (15)% year over year.
For the full year 2026, the company currently expect total revenue to range from $195 million to $207 million or (20)% to (15)% year over year. 공시 • Mar 05
LivePerson, Inc. to Report Q4, 2025 Results on Mar 12, 2026 LivePerson, Inc. announced that they will report Q4, 2025 results at 4:00 PM, US Eastern Standard Time on Mar 12, 2026 공시 • Mar 03
LivePerson Launches Syntrix As The First AI Agent Evaluation And Live Agent Training Platform For Enterprise CX LivePerson announced the launch of Syntrix, a simulation and evaluation platform designed to help enterprises deploy customer-facing AI with confidence and unlock AI value across customer interactions with AI agents and live agents. Syntrix launches as an AI agent evaluation and live agent training platform built for enterprise CX. It provides the critical assurance brands need to safely deploy customer-facing AI, giving them visibility, control, and the confidence to scale. By moving from reactive, production-only learning to proactive simulation and continuous evaluation and improvement, brands are able to deploy AI in line with strong governance practices and deliver meaningful business outcomes. Syntrix addresses these barriers by providing an evaluation environment where brands can rigorously test AI agents and train live agents against sophisticated synthetic customer personas and scenarios and measure adherence to brand policies before they ever interact with a real customer. Syntrix is the first platform of its kind to unify the evaluation of both digital and human workforces. AI agent evaluation: Brands can continuously stress-test AI agents and guardrails against diverse customer personas and edge-case scenarios. This vendor-neutral approach ensures that whether an AI agent is built on proprietary or third-party models, its performance is observable and more predictable. Live agent training for contact center and sales: Syntrix replaces slow, manual role-playing with scalable AI-powered synthetic customers and simulations. New hires can practice high-stakes, complex, or edge-case conversations with out-of-the-box or custom synthetic customers, receiving instant, automated feedback on empathy, accuracy, and brand compliance. Early estimates of Syntrix outcomes have demonstrated significant operational impact for enterprise brands. Accelerated AI readiness and deployment confidence: The ability to validate AI agent and live agent readiness to reduce risks and improve brand compliance continuously. Reduced operational costs: Reduce contact center agent new hire ramp time by up to 30% and save an average of $3,500 in onboarding costs per agent. Mitigated risk: Proactively identify and fix issues in a simulated environment, reducing the potential for drift and noncompliance. The launch of Syntrix marks the first phase of the new platform, with planned expansion that will add additional AI assurance and governance capabilities. Syntrix focuses on simulation and evaluation, and LivePerson plans to incorporate further capabilities, including advanced intelligence to automate analysis and prevention of CX failures. 
