SoundHound’s AI ordering business could become much bigger than simply charging restaurants a monthly subscription fee. The real opportunity is in the transactions themselves. Through its restaurant ordering platform and merchant dashboard, SoundHound can track orders, transactions and fees while collecting subscription, usage and potentially transaction-based revenue as more commerce moves through its AI.

Now add automobile dashboards, and the opportunity becomes much more interesting. SoundHound is putting conversational AI directly into vehicles, creating the possibility for drivers to simply say, “Find me a restaurant on my way home and order dinner,” and have the vehicle’s AI handle the entire process. The customer talks to the dashboard, SoundHound finds the restaurant, places the order and potentially participates financially in that transaction.

Think about the ecosystem SoundHound is trying to build:

Automobile Dashboard → SoundHound AI → Restaurant → Order → Transaction Fee

And it doesn't have to stop with restaurants. The same automobile dashboard could eventually become a gateway for parking, reservations, drive-thru ordering and other services and purchases. Every additional transaction creates another opportunity for SoundHound to monetize the interaction.

The numbers can become significant very quickly. If SoundHound eventually facilitates $5 billion in annual commerce, an effective monetization rate of only 1% would represent $50 million in revenue. At 2%, that's $100 million, and at 5%, $250 million — potentially on top of recurring subscription and licensing revenue. Those percentages are examples, not SoundHound guidance or disclosed fee rates.

That's why I think investors need to look beyond how many restaurants or automobiles are using SoundHound. The bigger question is:

How many billions of dollars in transactions could eventually flow through SoundHound AI?

Restaurants on one side. Millions of automobile dashboards on the other. SoundHound sitting in the middle connecting the customer to the transaction.

When SoundHound executes this model, they're not just building a voice-AI company. They're building an AI commerce platform — and every dashboard could become a point of sale.

If you step back from the daily movement in SOUN and look at what SoundHound AI has accomplished over roughly the past year, I think the investment story has changed considerably. A year ago, the big question was whether SoundHound could turn impressive technology, acquisitions, and AI momentum into a scalable business. Today, investors have considerably more evidence to work with.

SoundHound finished 2025 with $168.9 million in revenue, up 99% year over year. Then came Q2 2026, when revenue reached an all-time quarterly high of $61.9 million, up 45% year over year. GAAP gross margin improved to 45.1%, non-GAAP gross margin reached 58.4%, and adjusted EBITDA loss improved to $9.6 million from $14.3 million a year earlier. Those numbers matter because investor confidence isn't built by promises. It's built by execution.

OASYS may be the most important piece of the story. Launched in May 2026, OASYS brings SoundHound's technologies and acquisitions together into one agentic AI platform. Instead of being viewed primarily as a voice AI company, SoundHound is positioning itself as an enterprise AI platform capable of handling conversations, transactions, tasks, and workflows across multiple channels.

Now add LivePerson, SoundHound's biggest move yet. The acquisition was completed September 4, creating a combined company that reaches 25 of the Fortune 100 and controls more than 750 patents. SoundHound says the existing combined customer base represents an opportunity to target more than $500 million in future revenue through expansion and cross-selling. That $500 million isn't guaranteed revenue, but it shows the size of the opportunity sitting inside the customer base they already have.

The LivePerson deal also changes what SoundHound can sell. SoundHound brings voice and agentic AI. LivePerson brings enterprise messaging and digital customer engagement. Put those capabilities together through OASYS and SoundHound can potentially offer enterprises one AI platform across voice, web, mobile, SMS, and social channels.

Then there is the financial side. John Collins is now CFO of the combined company, with integration, cost discipline, margin expansion, and the path toward sustainable profitability becoming increasingly important. Following the LivePerson closing and retirement of its outstanding debt, SoundHound says the combined company has a debt-free balance sheet.

There are still risks. SoundHound remains unprofitable on an adjusted EBITDA basis, integrating LivePerson will take execution, and competition in enterprise AI is enormous. But compare SoundHound today with SoundHound a year ago: higher revenue, improving profitability metrics, OASYS launched, LivePerson completed, 25 Fortune 100 customers within the combined footprint, 750+ patents, a debt-free combined balance sheet, and a much larger cross-selling opportunity.

For me, that is how investor confidence gets built. Not through one press release or one big contract, but through a series of milestones that gradually reduce the number of unanswered questions. The next chapter is execution. If SoundHound can successfully integrate LivePerson, drive OASYS adoption across its expanded customer base, continue growing revenue, and move toward sustainable profitability, the conversation around SOUN could increasingly shift from “Can this company become a major enterprise AI player?” to “How large can this platform become?”

That's the SoundHound story investors should be watching now.

Not financial advice. Do your own research.

Ok I asked questions and received answers

1. Revenue needs to approach $1 billion annually. This is the biggest one. At $1B revenue, a $21.6B valuation equals roughly 21.6× sales. That's aggressive, but absolutely within the range the market has awarded high-growth AI software companies.
2. Revenue growth needs to stay around 40–50%+. Q2's reported $61.9M and 45% YoY growth is the kind of growth rate SoundHound needs to maintain as the revenue base gets larger. The market pays huge multiples when it believes 40%+ growth can continue.
3. Get to positive adjusted EBITDA. The current adjusted EBITDA loss can't continue indefinitely. Crossing into positive EBITDA would be a major psychological and institutional-investor milestone.
4. Show a believable path to $100M+ annual operating profit. SoundHound doesn't necessarily need this immediately to reach $50, but investors need to see operating leverage—revenue climbing much faster than expenses.
5. Gross margins need to move toward 60–70%+. This is important because Wall Street values scalable software revenue much differently than lower-margin service revenue. Palantir's gross margin was around 79% in 2022 and 81% in 2023.
6. OASYS needs to become the growth engine. SoundHound can't reach a $20B+ valuation on restaurant voice ordering alone. OASYS has to demonstrate that SoundHound can become a broad enterprise agentic-AI platform.
7. Land several recognizable enterprise customers. One giant household-name customer would help, but several would be far more important. The market needs evidence that OASYS is repeatable rather than one monster contract.
8. Build recurring enterprise revenue. Investors love predictable, contracted software revenue. Palantir went from $1.91B revenue in 2022 to $2.23B in 2023 and $2.87B in 2024, while eventually becoming profitable. That's the type of progression SoundHound needs to demonstrate on a smaller scale.
9. Control dilution. This one gets overlooked. At roughly 433M shares, $50 means ~$21.6B. If SoundHound eventually has 500M diluted shares, $50 requires $25B. Every additional 50M shares makes the $50 target require another $2.5B of market value.
10. The $50 formula: $1B revenue × 20–25× sales = $20–25B valuation. At ~433M shares: $20B ÷ 433M = $46.19/share and $22B ÷ 433M = $50.81/share. That's the mathematical neighborhood.

And here's why the Palantir comparison gets interesting. Palantir was generating about $1.9 billion annually in 2022 while its stock went through its beaten-down period; by 2023 it generated $2.23B and became profitable, and by 2024 revenue reached $2.87B. The combination of AI enthusiasm, accelerating growth and improving profitability ultimately caused investors to assign Palantir a dramatically larger revenue multiple.

So I wouldn't say SoundHound needs $1 billion revenue before it can trade at $50. Stocks anticipate results. If SoundHound gets to perhaps $600–750M annualized revenue, is still growing 40–50%+, reaches positive EBITDA, OASYS is exploding, and several major enterprise customers are announced, Wall Street could begin pricing in the $1B+ revenue level before SoundHound actually reaches it.

I think we could see a move towards $8 today. Volume is picking up and SOUN looks ready to make a run. We've had enough red let's see what happens when the buyers finally take control. 🔥🚀

Nvidia, BlackRock and the $500 Billion AI Push

Nvidia just announced partnerships with BlackRock, Apollo, Blackstone, Brookfield, Goldman Sachs and KKR aimed at mobilizing more than $500 billion for AI infrastructure. Jensen Huang summed it up perfectly: “In AI, compute is revenue.” What makes this interesting for SoundHound investors is BlackRock. BlackRock is also a major institutional holder of SoundHound. I'm not suggesting there's a direct connection between BlackRock's SoundHound investment and this new Nvidia initiative here's no evidence of that. But it's certainly nice to see SoundHound sitting in the portfolios of institutions that are committing enormous amounts of capital to the future of AI.

The bigger picture: Wall Street isn't backing away from AI. It's figuring out how to finance the next massive wave of it. And SoundHound is trying to establish itself right in the middle of that AI expansion.

Here’s another reason why I believe Sony is a very realistic possibility. The CEO said that SoundHound has already demonstrated that it can win major business in China, which is not an easy market for an Silicon Valley company to penetrate.

Now look at Sony. They already have a major manufacturing and supply chain presence in China, and they just signed a definitive agreement with TCL that will put its home entertainment business into a joint venture controlled 51% by TCL. I saw this on google. That business includes BRAVIA TVs, displays, projectors and home audio.

If SoundHound proves it's technology can compete and win in China, that experience could certainly help when pursuing a global company like Sony with such deep connections to the Chinese electronics ecosystem.

It doesn't prove Sony is the unnamed customer, but to me it makes the possibility a lot more interesting. Here is hoping , Great information on Schwab yesterday

WHAT IF THE “S” IS SAMSUNG… OR SONY? 👀 At the end of the Schwab interview, the host tried one last time to get Keyvan to reveal the name of SoundHound’s mystery multinational electronics customer: “Does it start with an S?” Keyvan didn’t give her the name in respect to their partners which I was happy to hear. So just for fun, let’s play the WHAT IF game. Samsung starts with an S. Sony starts with an S. What if it’s Samsung? What if it’s Sony? And here’s the crazy one — what if SoundHound eventually lands BOTH? SoundHound has already confirmed that a multinational electronics manufacturer will deploy its technology in TVs, enabling consumers to make purchases and other agentic transactions directly through the television. Imagine SoundHound AI inside millions of smart TVs, where you don’t just ask the TV questions you can actually transact through it.

If the mystery company turns out to be a household name the size of Samsung or Sony, Wall Street would look at SOUNDHOUND very differently. A deal of that magnitude would change the narrative overnight and validate SoundHound’s technology on a massive global scale. One of them would be huge. Both would completely change the conversation. Would that immediately make SOUN a $30, $40 or $50 stock? Nobody can honestly know. But confirmation of a global consumer-electronics giant would be exactly the type of announcement that could finally make investors rethink what SoundHound is becoming. Again — Samsung and Sony are NOT confirmed. This is speculation based on that very interesting “Does it start with an S?” question. But you have to admit… Samsung starts with S and so does Sony 😏

To the Leadership Team at Microsoft,

I recently experienced one of the most frustrating customer service interactions I've ever had, and I believe it exposes a problem Microsoft has the ability and the technology to solve.

My question was incredibly simple:

"How many Microsoft 365 licenses am I paying for?"

A question like this should have taken no more than five minutes to answer. Instead, it became an exhausting process that lasted days.

What Happened

• I was transferred between multiple customer service representatives.
• I sent numerous emails trying to get a straightforward answer.
• I repeated the same information over and over.
• Different departments gave incomplete or conflicting information.
• Hours of my time were wasted trying to answer one basic billing question.

Eventually, someone finally confirmed that I was being billed for two Microsoft 365 Business licenses. While I appreciated finally getting the answer, it should never have taken this much time and effort.

The Real Problem

This wasn't a complicated technical issue, a server outage, or a cybersecurity incident. It was a simple billing question. If one of the world's leading technology companies can't quickly tell a customer how many licenses they're paying for, then the customer service process isn't broken because of the people it's broken because of the system. That's exactly the kind of problem artificial intelligence should be solving.

A Solution Worth Considering

This experience convinced me that Microsoft should seriously consider partnering with SoundHound AI and integrating its conversational AI customer service platform.

Sound Hound's Amelia 7 digital agent, powered by its OASYS (Orchestrated Agent System) architecture, is designed to understand natural conversations, securely access customer information, complete transactions, and resolve issues without forcing customers through endless transfers or repeated explanations.

Imagine calling Microsoft and simply asking:

"How many Microsoft 365 licenses am I paying for?"

Within seconds, an AI assistant could:

• Securely authenticate my account.
• Instantly retrieve my subscriptions.
• Explain exactly what I'm paying for.
• Identify duplicate or unused licenses.
• Make billing changes if requested.
• Escalate the issue only when necessary, with the entire conversation already attached.

One conversation. One answer. No transfers, no repeated explanations, no endless emails, and no wasted hours. That's the level of customer service Microsoft customers should expect from a company leading the AI revolution.

Why This Matters

Microsoft has transformed nearly every aspect of computing over the past 50 years. Customer service should be the next area of innovation. Artificial intelligence should do more than write documents or generate images. It should eliminate unnecessary frustration and solve customer problems quickly, accurately, and efficiently. A partnership between Microsoft and SoundHound AI has the potential to redefine enterprise customer support by combining Microsoft's global cloud infrastructure with Sound Hound's advanced conversational AI technology.

A Message to SoundHound AI

If you're looking for one of the biggest opportunities in enterprise AI, look no further than Microsoft Customer Support. Every day, thousands of customers contact Microsoft with routine questions about billing, subscriptions, licensing, technical support, and account management. These are exactly the types of interactions conversational AI was built to handle. Your Amelia 7 platform, orchestrated through OASYS, has the potential to dramatically reduce support costs while significantly improving the customer experience. A successful deployment with Microsoft would demonstrate to the world what enterprise conversational AI is truly capable of. Microsoft doesn't need more support agents it needs smarter support. SoundHound AI has an opportunity to help make that happen.

Final Thoughts

Technology should simplify our lives not make simple questions difficult to answer. My experience wasn't about one employee or one department. It highlighted a process that can and should be improved. I hope Microsoft's leadership views this not as criticism, but as constructive feedback from a loyal customer who believes the company can do better. Likewise, I encourage the leadership team at SoundHound AI to pursue opportunities with companies like Microsoft. The future of customer service won't be measured by how many calls are answered it will be measured by how many problems are solved in the first conversation. The technology exists. The need is obvious. Now is the time for two innovative companies to show the world what AI powered customer service can truly become.

Respectfully,

Bill Davis

One of the biggest frustrations in retail isn't finding a parking spot—it's finding the product you're looking for. Think about walking into Home Depot, Menards, Lowe's, Walmart, or any massive brick-and-mortar store. You're standing in a building the size of several football fields with thousands of products, and you're left wandering aisle after aisle hoping you'll eventually find what you need. This is exactly where SoundHound's Dynamic AI Kiosk could become a game changer. Instead of searching for an employee or trying to decode a confusing store map, imagine walking up to a kiosk and simply saying:

"Where can I find a 3/4-inch PVC elbow?"

The kiosk instantly responds:

"Aisle 18, Bay 7. We have 24 in stock. Would you like directions? You'll also need PVC cement and primer—they're right next to it." Do you want me to text these locations to your phone?

And there will be many more helpful suggestions in this system that the company can add, Think about how much time you will save. I was in Menards yesterday looking for a ceiling cap as I took down the dining room light. Forget about trying to find it. It took me 10 minutes to find someone who could direct me to where it was,

The larger the store, the greater the benefit. As retailers continue looking for ways to improve the in-store experience. AI-powered kiosks like SoundHound's Dynamic Kiosk have the potential to become as common as self-checkout.

The company is not called Soundhound Chat AI Automotive please fix the top header to the correct name of the company

I think people are underestimating the enterprise opportunity for SoundHound. Try figuring out Software from Microsoft, Salesforce, Zoho, and even many government agencies. They have become so complex that finding answers often means digging through documentation or waiting on hold for customer support. Many organizations simply don't have enough staff to handle the volume, so wait times can be 30 minutes, an hour, or even days for a callback. With SoundHound Agentic, the experience changes completely. Instead of waiting for an agent, the call is answered instantly then you ask a question in plain English and get an answer instantly 0 wait time no support tickets. "How do I reset permissions?" "Why didn't this workflow run?" "Show me overdue invoices." Agentic AI can explain it, guide you, or even complete the task if it's authorized. The real value isn't just answering questions it's replacing the need to wait for someone to answer them. Zero hold time. Instant help. 24/7. If SoundHound Agentic becomes the AI layer that sits on top of enterprise software and government systems, the potential revenue opportunity is on an entirely different scale than what investors are modeling today.

On another thread, I saw the term "FUD" and had to look up what it meant.

FUD is an acronym for Fear, Uncertainty, and Doubt. It refers to a psychological and propaganda tactic used in marketing, sales, politics, and investing to influence perception by spreading negative, questionable, or exaggerated information.

The goal is often not to prove a point with facts, but to create enough uncertainty that people begin to doubt their own decisions.

When reading message boards, social media posts, or investment forums, it's important to remember that not everything is written with the intention of informing. Some content is designed to influence sentiment and emotion.

Always do your own research, verify claims, and separate facts from opinions. In today's world, understanding FUD may be just as important as understanding the investment itself.

The term "cash burn" is frequently weaponized to discourage investors, but looking closer it reveals a completely different reality for SoundHound AI. In the growth phase of a high-tech company, this financial outflow is not a waste of capital it is the literal engine driving future dominance.

• The Reinvestment Reality: The outflow is heavily dictated by deliberate, aggressive investments into R&D and proprietary AI foundation models.
• A Technical Metric, Not a Loss: In accounting, "cash burn" simply describes the net rate at which a company uses its cash reserves over a specific period.
• Building Appreciating Assets: This money is not being lost down a drain; it is being converted into highly valuable, proprietary intellectual property like the OASYS platform.
• Fortified Balance Sheet: Backed by zero debt and over $200 million in liquid cash, the company is fully funded to execute this self-reinvestment strategy without financial distress.
• The Scale Phase: The goal is not to cut this spending, but to scale organic enterprise revenue until it naturally eclipses the cost of innovation.

I sent this to upwork

I’ve been using Upwork for over 10 years, and honestly, I’m at the point where I’m ready to walk away.Upwork needs to implement an AI oversight system similar to the agentic AI technology being developed by SoundHound AI. The amount of miscommunication, missed requirements, and outright excuses has become unacceptable.

The pattern is always the same:

• I provide detailed written instructions.
• The freelancer confirms they understand everything.
• They disappear for a week.
• They bill hours.
• They deliver something completely different from what was requested.
• Then comes the excuse: "I misunderstood."

Sorry, but after it happens repeatedly, that explanation stops being believable.

My most recent experience was a perfect example. I gave a freelancer a detailed written document. He confirmed he had read it and would begin work the following week. A week later, I was billed for three hours and received work that was the exact opposite of what I requested. His response? "I misunderstood."

Another freelancer constantly asked me to send emails with instructions, promising updates the next day. Every delivery came back wrong and required rework.

An agentic AI system could solve much of this. The client gives instructions to the AI agent, the freelancer receives those instructions through the agent, and the agent continuously monitors whether the work being produced actually matches the requirements. It would create accountability and reduce misunderstandings, especially when dealing with freelancers operating across major language and time-zone barriers.

Upwork needs a major upgrade. Fraud, poor communication, and lack of accountability are becoming too common. Without better oversight and verification, clients will continue looking elsewhere.