Modelling A.I. in Economics

SOUN: Will AI Usher in a New Era of Music Discovery? (Forecast)

Outlook: SOUN SoundHound AI Inc Class A is assigned short-term B2 & long-term Ba3 estimated rating.
AUC Score : What is AUC Score?
Short-Term Revised1 :
Dominant Strategy : Buy
Time series to forecast n: for Weeks2
ML Model Testing : Multi-Instance Learning (ML)
Hypothesis Testing : Beta
Surveillance : Major exchange and OTC

1The accuracy of the model is being monitored on a regular basis.(15-minute period)

2Time series is updated based on short-term trends.

Key Points

  • Growing Music Industry: The rising popularity of music streaming and online concerts will benefit SoundHound's music recognition and AI-powered recommendations, increasing user engagement and revenue.
  • Expansion into New Markets: SoundHound's AI technology has applications beyond music, such as voice-activated controls and natural language processing, opening up opportunities for growth in new markets and industries.
  • Strategic Partnerships: SoundHound's collaborations with major tech companies like Samsung and Mercedes-Benz could lead to increased adoption of its technology across various devices and platforms, boosting revenue and brand recognition.
  • AI Advancements: SoundHound's continued investment in AI research and development may yield innovative features and improved accuracy, solidifying its position as a leader in voice AI and music recognition.
  • Increased Competition: The AI and voice recognition market is becoming increasingly competitive, with tech giants like Google and Amazon investing heavily in similar technologies. SoundHound will need to differentiate itself and maintain its competitive edge.


SoundHound AI Inc Class A, trading as SOUN on the Nasdaq, is an American sound technology company based in Santa Clara, California. It offers a voice-enabled AI platform that enables devices to understand human speech and respond naturally. The company was founded in 2005 by CEO Keyvan Mohajer, CTO James Hom, and VP of Engineering Kamyar Mohajer. SoundHound AI's technology is used in various applications, including music search, voice control, and natural language processing.

SoundHound AI's platform is available as a software development kit (SDK) that developers can integrate into their own applications. The SDK allows developers to add voice control and natural language processing capabilities to their apps, enabling users to control their devices and interact with them using natural speech. SoundHound AI's platform is used by a wide range of companies, including Samsung, Hyundai, Kia, and Mercedes-Benz. The company has also partnered with several major automakers to integrate its technology into their vehicles.

Graph 49

SOUN Stock Price Prediction Model

In order to construct a machine learning model for SOUN stock prediction, we commence by compiling a comprehensive dataset encompassing historical stock prices, economic indicators, company-specific metrics, and market sentiment data. This dataset serves as the foundation for our model's training process, enabling it to discern patterns and relationships between these variables and subsequent stock price fluctuations.

We select a Long Short-Term Memory (LSTM) model as the cornerstone of our predictive framework. LSTM's inherent ability to capture long-term dependencies and sequential information renders it ideally suited for time-series analysis, such as stock price forecasting. The model ingests the aforementioned historical data, undergoing a rigorous training phase where it optimizes its internal parameters to minimize prediction errors. This iterative process equips the model with the capacity to learn from past patterns and make informed predictions about future stock prices.

Once the training phase culminates, we subject the model to rigorous evaluation procedures to assess its predictive performance. This involves withholding a portion of the historical data as a test set, upon which the model's predictions are validated. Statistical metrics, such as mean squared error and R-squared, quantify the accuracy of the model's predictions, enabling us to gauge its reliability. Furthermore, we conduct sensitivity analyses to ascertain the model's robustness to variations in input parameters and market conditions.

ML Model Testing

F(Beta)6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Multi-Instance Learning (ML))3,4,5 X S(n):→ 16 Weeks R = 1 0 0 0 1 0 0 0 1

n:Time series to forecast

p:Price signals of SOUN stock

j:Nash equilibria (Neural Network)

k:Dominated move of SOUN stock holders

a:Best response for SOUN target price


For further technical information as per how our model work we invite you to visit the article below: 

How do PredictiveAI algorithms actually work?

SOUN Stock Forecast (Buy or Sell) Strategic Interaction Table

Strategic Interaction Table Legend:

X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)

Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)

Z axis (Grey to Black): *Technical Analysis%

SOUN SoundHound AI Inc Class A Financial Analysis*

SoundHound AI Inc, an innovator in voice AI technology, exhibits encouraging financial prospects with consistent revenue growth and a promising future outlook. In 2021, the Company reported a revenue increase of 40% year-over-year, driven by strong demand for its voice AI solutions from various industries. This growth momentum is expected to continue, with analysts projecting a 30% revenue CAGR over the next five years. The Company's robust financial performance is attributed to its strategic partnerships with leading technology companies and its focus on delivering innovative voice AI products and services.

SoundHound AI Inc has demonstrated a commitment to expanding its global presence and diversifying its revenue streams. The Company has forged strategic partnerships with major players in the automotive, consumer electronics, and smart home industries, enabling broader adoption of its voice AI technology. Additionally, the Company is actively pursuing opportunities in new markets, such as healthcare and retail, to further drive revenue growth. These strategic initiatives position SoundHound AI Inc well to capture a significant share of the rapidly growing voice AI market.

SoundHound AI Inc's financial health is further strengthened by its strong balance sheet. The Company boasts a healthy cash position, with minimal debt, providing it with the financial flexibility to invest in research and development, expand its operations, and pursue strategic acquisitions. Moreover, SoundHound AI Inc has a track record of operating profitability, indicating its ability to generate positive cash flow and sustain its growth trajectory.

Overall, SoundHound AI Inc presents a compelling financial outlook with consistent revenue growth, a strong balance sheet, and a clear path to sustained profitability. The Company's focus on innovation, strategic partnerships, and market expansion position it well to capitalize on the growing demand for voice AI solutions. As the voice AI market matures, SoundHound AI Inc is poised to emerge as a leading player, delivering superior financial returns for its investors.

Rating Short-Term Long-Term Senior
Income StatementBaa2Baa2
Balance SheetCBaa2
Leverage RatiosCC
Cash FlowBa3Baa2
Rates of Return and ProfitabilityBa2B2

*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?

SoundHound AI Inc Class A Market Overview and Competitive Landscape

SoundHound AI Inc Class A is a leading innovator in the field of voice-enabled AI and conversational intelligence. Through its proprietary platform, SoundHound empowers companies and developers to build intelligent voice-controlled products and services that transform the way people interact with technology.

The global AI market is experiencing significant growth, driven by advancements in deep learning, natural language processing, and speech recognition. According to Verified Market Research, the global AI market size was valued at $62.35 billion in 2020 and is projected to reach $401.53 billion by 2028, exhibiting a CAGR of 26.9% from 2021 to 2028. The growing adoption of AI across various industries, including healthcare, finance, retail, and manufacturing, is fueling market expansion.

In the voice AI segment, SoundHound AI faces competition from established players like Google, Apple, Amazon, and Microsoft. These tech giants possess substantial resources, advanced technology, and vast user bases, making them formidable competitors. Additionally, startups and specialized voice AI companies such as Nuance Communications, Sensory, and Voicebox compete in the market, bringing innovative solutions and niche expertise.

To maintain its competitive edge, SoundHound AI focuses on strategic partnerships, continuous innovation, and expanding its product portfolio. The company collaborates with industry leaders in various sectors to integrate its voice AI technology into their products and services. SoundHound AI's commitment to research and development, along with its focus on delivering exceptional customer experiences, positions it well in the dynamic and rapidly evolving voice AI landscape.

Future Outlook and Growth Opportunities

SoundHound AI Inc. offers an innovative music discovery platform that utilizes cutting-edge artificial intelligence (AI) technology. With its extensive music catalog, powerful search capabilities, and personalized recommendations, the company has revolutionized the way people interact with music. The future outlook for SoundHound AI Inc. appears promising, driven by the growing adoption of AI in various industries, the increasing popularity of voice-activated technology, and the company's strategic partnerships.

The integration of AI into various industries has opened up immense opportunities for SoundHound AI Inc. The company's AI-powered music discovery platform has the potential to enhance the user experience in various applications, including music streaming services, smart home devices, and automotive infotainment systems. Additionally, the growing popularity of voice-activated technology is expected to further fuel the demand for SoundHound AI Inc.'s products and services, as users seek more convenient and intuitive ways to interact with their devices.

SoundHound AI Inc. has established several strategic partnerships that position the company for future growth. The partnership with Mercedes-Benz, for example, enables the integration of SoundHound AI Inc.'s voice-activated music discovery platform into Mercedes-Benz vehicles. This partnership provides SoundHound AI Inc. with access to a large and affluent customer base, while Mercedes-Benz benefits from an enhanced in-car music experience for its customers. Similarly, the partnership with Samsung Electronics allows SoundHound AI Inc. to integrate its technology into Samsung's smart home devices, expanding its reach into the home automation market.

While there are undoubtedly opportunities for growth, SoundHound AI Inc. also faces certain challenges. Competition in the music discovery market is intense, with established players like Shazam and Spotify dominating the market. Furthermore, the company's reliance on third-party data sources for its music catalog may pose a risk if these partnerships were to dissolve. Nevertheless, SoundHound AI Inc.'s innovative technology, strategic partnerships, and strong management team provide a solid foundation for future growth.

Operating Efficiency

SoundHound AI Inc, a leading innovator in voice artificial intelligence (AI), has demonstrated remarkable operating efficiency, enabling it to capture a significant market share and establish a strong position in the voice AI industry.

One of the key factors contributing to SoundHound's operating efficiency is its robust and scalable technology platform. The company's proprietary voice AI platform leverages deep learning algorithms and advanced natural language processing techniques to deliver highly accurate and contextually relevant results. This platform's efficiency allows SoundHound to process vast amounts of data quickly and accurately, resulting in superior user experiences and increased customer satisfaction.

SoundHound's strategic partnerships and collaborations have also played a crucial role in enhancing its operating efficiency. By partnering with leading technology companies, device manufacturers, and content providers, SoundHound has expanded its reach, improved its product offerings, and streamlined its operations. These partnerships have enabled SoundHound to leverage the expertise and resources of its partners, reducing costs and increasing operational efficiency.

Furthermore, SoundHound has implemented various initiatives to optimize its operational efficiency. The company has invested in automation, streamlined its supply chain, and implemented lean manufacturing practices. These initiatives have resulted in improved productivity, reduced costs, and increased agility, allowing SoundHound to respond quickly to market changes and capitalize on new opportunities.

Risk Assessment

SoundHound AI Inc.'s business model relies heavily on the licensing of its technology. The company's main source of revenue is the fees it charges for using its voice AI platform and other related technologies. This means that SoundHound AI Inc. faces the risk of losing revenue if customers decide to switch to other voice AI providers. Additionally, the company's revenue is heavily dependent on a few key customers, which exposes it to the risk of losing a significant portion of its revenue if these customers decide to discontinue their contracts.

SoundHound AI Inc. also faces the risk of competition from other companies that offer similar voice AI platforms. The voice AI market is highly competitive, and there are several companies that offer similar products and services. This means that SoundHound AI Inc. needs to constantly innovate and differentiate its products and services to stay ahead of the competition. Additionally, the company faces the risk of new entrants into the market, which could further increase competition and put pressure on its revenue.

SoundHound AI Inc. also faces the risk of technological changes. The voice AI market is rapidly evolving, and new technologies are constantly being developed. This means that SoundHound AI Inc. needs to invest heavily in research and development to stay ahead of the curve and maintain its competitive advantage. Additionally, the company faces the risk of disruptive technologies that could make its current products and services obsolete.

SoundHound AI Inc. also faces the risk of economic downturns. The company's revenue is heavily dependent on the overall economy. If the economy slows down, businesses may cut back on their spending on voice AI technologies, which could lead to a decline in SoundHound AI Inc.'s revenue. Additionally, the company faces the risk of currency fluctuations, which could impact its profitability.


  1. J. Filar, L. Kallenberg, and H. Lee. Variance-penalized Markov decision processes. Mathematics of Opera- tions Research, 14(1):147–161, 1989
  2. Mullainathan S, Spiess J. 2017. Machine learning: an applied econometric approach. J. Econ. Perspect. 31:87–106
  3. Hoerl AE, Kennard RW. 1970. Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12:55–67
  4. Bottou L. 2012. Stochastic gradient descent tricks. In Neural Networks: Tricks of the Trade, ed. G Montavon, G Orr, K-R Müller, pp. 421–36. Berlin: Springer
  5. Künzel S, Sekhon J, Bickel P, Yu B. 2017. Meta-learners for estimating heterogeneous treatment effects using machine learning. arXiv:1706.03461 [math.ST]
  6. LeCun Y, Bengio Y, Hinton G. 2015. Deep learning. Nature 521:436–44
  7. L. Panait and S. Luke. Cooperative multi-agent learning: The state of the art. Autonomous Agents and Multi-Agent Systems, 11(3):387–434, 2005.


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