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New York, United States
1-10 Employees
2019
By analyzing the thousands of face to face conversations your reps have with your customers on the field. Your reps don't have to do anything differently. No installations. The Rilla App captures conversations from your rep's phones or tablets. Rilla automatically transcribes and analyzes their conversations using Artificial Intelligence. Before Rilla it was impossible for me to coach them properly while focusing on my own sales.
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Featured
Speech analytics for field sales
... Speech analytics for field ...
Chagrin Falls, United States
1-10 Employees
2017
We are a speech analytics company that unlocks the hidden insights that are buried within your call recordings. When combined our products can provide a comprehensive solution for a call center of any size, but can be purchased a la carte so you get exactly what you need. Our industry leading voice and speech analytics not only convert 100% of your calls to text, we take your data much further. This foundation is built around industry specific and call type best practices. We've built and managed, consulted or turned around hundreds of call center operations in our combined 100+ years. At the forefront of a corporate push in the call center industry is a real-time analytic that offers instant actionable insight.
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Contact Cubed | Speech Analytics
... Contact Cubed | Speech Analytics ...
1-10 Employees
2020
Oxus AI is an artificial intelligence company developing language-related, state-of-the-art generative AI products for businesses and consumers. At Oxus.AI, innovation is not just a buzzword; it is the driving force behind everything we do. At Oxus AI, our company culture is deeply rooted in a strong commitment to customer satisfaction and facilitation. At Oxus AI, integrity is the bedrock of our operations. Empowering our clients to achieve their goals is our ultimate mission. Whether it's revolutionizing customer experiences, optimizing operations, or unlocking new opportunities, we are dedicated to propelling our clients towards success. We focus on results and have a "Get things done" mentality that underpins our culture.
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Oxus.AI: AI Speech Analytics for Customer Support and Sales
... Oxus.AI: AI Speech Analytics for Customer Support and ...
Kallur, India
101-250 Employees
2016
Sayint uses cutting-edge AI, ML and NLP to create meaningful insights from customer conversations.
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Featured
Speech Analytics | Conversation Analytics Solution – Sayint.ai
... Speech Analytics | Conversation Analytics Solution – Sayint. ...
Kansas City, United States
11-50 Employees
2014
It integrates with leading cloud-based call center solutions and offers multiple options to save recordings for retrieval and review.
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Featured
Speech Analytics
... Speech Analytics ...
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Featured
Speech Analytics — речевая аналитика для контроля качества звонков
... Speech Analytics — речевая аналитика для контроля качества звонков ...
Chiajna, Romania
1-10 Employees
We are committed to pushing the boundaries of AI speech technology to create groundbreaking solutions that empower individuals and organizations to communicate more effectively. We are committed to building and promoting responsible AI systems that respect user privacy, uphold security, and minimize bias and discrimination. We are dedicated to understanding their needs and delivering exceptional value through our AI speech technology solutions. Our mission is to make advanced AI-based speech recognition and processing technologies accessible and user-friendly for diverse users and industries. We are excited to see what the future holds!". We are actively seeking collaborations and partnerships that have the potential to advance and enhance AI speech technology, creating substantial value for a wide range of industries. Zevo Tech is an AI-driven speech analytics startup, offering a diverse range of products and services across multiple industries. With over 15 years of experience in speech processing at the Speech and Dialogue research laboratory in University Politehnica of Bucharest, our team recognized the market's readiness to embrace speech recognition technologies.
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Featured
Products – Zevo Tech
... Zevo Speech Analytics ...
Madrid, Spain
251-500 Employees
1999
Facilitate collaboration between your different business stakeholders and accelerate your go-to-market initiatives with leading-edge functionality, an enhanced level of personalization and without the need for writing code.
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Speech Analytics
... Apply artificial intelligence to analyze all your contact center calls and interactions with inConcert Speech Analytics. ...
Orsay, France
11-50 Employees
2000
To learn more about Vocapia Research use the contact information form. We provide solutions and expertise for core speech processing technologies in many languages. Telephone Speech Analytics Vocapia's speech recognition software and language identification software process telephone data making the recorded calls searchable and analyzable via text-based methods. We provide real-time solutions for low power embedded systems. We are off to a flying start in March: our #speech-to-text voice control system impressed pilots in helicopter test flights. Large vocabulary continuous speech recognition, also called speech-to-text or voice-to-text conversion is the key technology for enabling content-based information access in audio and video documents. Debate and lecture transcription and indexing VoxSigma helps reduce the production time and cost to produce transcripts, minutes and/or summaries of public presentations and meetings. Large vocabulary continuous speech recognition is a key technology for automatic, comprehensive analysis of recorded calls.
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Speech-to-Text Software & Service | Speech Recognition Software
... Speech Recognition - Broadcast Monitoring - Lecture and Seminar Transcription - Video Subtitling - Conference Call and Voicemail Transcription - Speech Analytics ...
Scottsdale, United States
11-50 Employees
2015
Speech analytics provide objective, repeatable metrics—unlocking a new paradigm of patient care.
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Featured
Aural Analytics | Clinical-Grade Speech Analytics
... To build the world’s most advanced model driven, transparent speech analytics platform. ...
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Some interesting numbers and facts about the results you have just received for Speech Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 132 |
| Amount of suitable service providers | 96 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 1999 |
| Youngest suiting company | 2020 |
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Speech Analytics is an advanced technological solution that leverages machine learning algorithms and natural language processing (NLP) to analyze audio data. This technology meticulously examines voice recordings from various communication channels, such as call centers, to extract valuable insights into customer behaviors, preferences, and sentiments. By converting speech into text and identifying key phrases, terms, and speech patterns, it enables organizations to gain a deeper understanding of customer interactions. The primary objective of speech analytics is to enhance customer service, improve call quality monitoring, ensure compliance with industry standards, and drive operational efficiency. Its impact is profound, notably in sectors like customer service, sales, and marketing, where understanding the nuances of customer communication is essential. By providing actionable intelligence, speech analytics empowers businesses to make informed decisions, tailor customer experiences, and address issues proactively. It also plays a pivotal role in identifying trends and opportunities for innovation, thereby fostering a more customer-centric business approach. Through its comprehensive analysis of spoken words, speech analytics transcends the traditional boundaries of customer interaction analysis, offering a granular view of consumer preferences and behaviors that were previously inaccessible.
1. Enhanced Customer Experience
Speech analytics tools enable businesses to analyze voice recordings from customer interactions, providing insights into customer sentiments and needs. This intelligence allows companies to tailor their services or products, significantly improving the customer experience.
2. Improved Compliance and Risk Management
By monitoring and analyzing calls, speech analytics can help ensure that conversations comply with legal and company policies. It identifies risky phrases or compliance breaches, reducing potential legal issues and enhancing customer trust.
3. Increased Operational Efficiency
Automating the process of monitoring customer interactions, speech analytics allows businesses to identify operational inefficiencies and training opportunities. This leads to a more effective use of resources and an overall increase in productivity.
4. Strategic Decision Making
The insights gained from speech analytics provide valuable data that can inform strategic decisions. Understanding customer trends, preferences, and pain points can guide product development, marketing strategies, and customer service improvements.
While evaluating the different suppliers make sure to check the following criteria:
1. Accuracy and Reliability
Ensure the speech analytics tool provides high accuracy in transcribing and analyzing spoken words across various languages and dialects to ensure reliable insights.
2. Real-Time Analysis Capability
The ability to analyze speech in real-time can significantly enhance customer service and immediate business decision-making.
3. Integration Flexibility
Check if the tool can be easily integrated with your existing customer service software and CRM systems for a seamless workflow.
4. Scalability
The solution should be scalable to accommodate your business's growing data needs without compromising performance.
5. Data Security and Compliance
Ensure the supplier adheres to stringent data security standards and complies with relevant regulations to protect sensitive information.
6. Customization and Support
Look for customization options that match your specific requirements and a support team that offers prompt and effective assistance.
7. Cost-Effectiveness
Evaluate the overall cost against the features and benefits provided to ensure it delivers value for your investment.
Speech analytics technology plays a pivotal role in enhancing customer service and operational efficiency across various B2B sectors. In the financial industry, it's leveraged to ensure compliance with stringent regulatory requirements, analyzing customer interactions to detect and mitigate potential breaches. This capability is crucial in avoiding fines and maintaining trust. In the realm of call centers, speech analytics is employed to improve customer satisfaction and agent performance. By analyzing call recordings, businesses can pinpoint areas for agent training, identify common customer issues, and develop strategies to enhance the overall service quality. This insight allows for a more personalized and effective customer experience. Healthcare organizations utilize speech analytics for patient interaction analysis, helping to better understand patient concerns and improving communication strategies. This use case is particularly beneficial in identifying patterns or specific needs, ensuring that patient care is both efficient and empathetic. In the technology sector, speech analytics aids in product development and user experience enhancement. By analyzing feedback from customer support calls, companies can identify common technical issues or user difficulties, guiding the refinement of products and services. Each of these use cases underscores the versatility and value of speech analytics in driving operational improvements, compliance, customer satisfaction, and product development across industries.
Speech analytics technology, as of now, has reached a Technology Readiness Level (TRL) of 9, indicating that it is fully mature and operational in real-world environments. This high level of readiness is attributed to several technical advancements and extensive validation across diverse industries. The core of speech analytics involves sophisticated algorithms capable of processing and analyzing large volumes of audio data in real-time, translating spoken language into actionable insights. The progress in natural language processing (NLP) and machine learning (ML) algorithms has significantly enhanced the accuracy of speech recognition, sentiment analysis, and the ability to identify patterns and trends in spoken language. These technical capabilities enable businesses to improve customer service, compliance monitoring, and operational efficiency. Furthermore, the integration of cloud computing has facilitated scalable and flexible deployment options, ensuring that speech analytics solutions can handle the increasing volume and variety of voice interactions. The extensive testing and successful implementation in sectors such as finance, healthcare, and customer service, where understanding customer sentiment and compliance with regulations are critical, underscore its practical efficacy and reliability. Thus, the maturation of these technologies and their proven track record in real-world applications underpin the assignment of TRL 9 to speech analytics.
In the short-term, speech analytics technology is set to see significant improvements in accuracy and speed. Advances in natural language processing (NLP) and machine learning algorithms will enable these systems to understand and interpret human speech with greater nuance and less error. This phase will also witness the integration of speech analytics into a wider range of customer service tools, enhancing real-time feedback and interaction analysis. Moving into the mid-term phase, speech analytics will begin leveraging more sophisticated AI models to predict customer behavior and sentiments with high precision. This period will mark the advent of predictive analytics in speech, where systems can not only analyze what was said but also infer the underlying emotions and intentions. Such capabilities will revolutionize customer service strategies and market research, offering deeper insights into consumer needs and preferences. In the long-term, we can expect speech analytics to become seamlessly integrated with other forms of biometric analysis, such as facial recognition and emotion detection. This convergence will create a comprehensive analysis tool capable of providing a 360-degree view of customer interactions and experiences. Furthermore, the evolution of quantum computing could exponentially increase the processing power available for speech analytics, unlocking possibilities for real-time, multi-language, and dialect-independent understanding on a global scale.
Some interesting questions that has been asked about the results you have just received for Speech Analytics
What are related technologies to Speech Analytics?
Based on our calculations related technologies to Speech Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Speech Analytics?
Start-Ups who are working in Speech Analytics are Oxus.AI
Which industries are mostly working on Speech Analytics?
The most represented industries which are working in Speech Analytics are Information Technology, Software, Hardware, Data and Analytics, Professional Services
How does ensun find these Speech Analytics Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
