Sentient Machines

Providing accurate captioning for accessible videos

Contact centres handling high volumes of calls inevitably produce huge quantities of data, and businesses are increasingly focusing on new ways to capture and utilise this untapped wealth of information.

While the aim is usually to maximise efficiency and reduce costs, businesses can simultaneously improve the customer experience, which leads to increased sales and revenue. To do this, they must first understand their customer interactions.

pexels-george-milton-6953877

Hear from our clients

By recording, analysing and therefore understanding more about call centre interactions, the business can offer customers an improved, personalised journey leading to less turnover, while also gaining valuable insights into weaknesses in their processes, along with real-time information which can increase sales conversions.

Dr Danica Damljanovic

CEO and Co-Founder of Sentient Machines

Read More Case Studies

Businesses seeking to use their system data to improve customer care and provide a more proactive service are turning to Natural Language Processing (NLP) and BigData analysis to gain critical insights and optimise their call centre operations. This process begins with speech recognition.

Machine learning – understanding humans

Sentient Machines uses deep learning to bring an understanding of customers to the call centre industry. Their cloud-based platform, Sentient Analytics, interprets calls and learns from customer-agent interactions with real-time monitoring. Using Speechmatics’ Automatic Speech Recognition (ASR) software, natural language interactions between customers and agents are transcribed and analysed for insights into customer emotions, motivation and frustrations. Sentient Analytics investigates how to improve the customer experience by analysing callers’ sentiments and emotional shifts – after transcribing the voice file, it interprets any hidden meaning. The software can even highlight customers who are about to leave the call in real-time, sending the agent an alert telling them why.

Hear from our clients

“It’s a win-win for businesses. By recording, analysing and therefore understanding more about call centre interactions, the business can offer customers an improved, personalised journey leading to less turnover, while also gaining valuable insights into weaknesses in their processes, along with real-time information which can increase sales conversions.”

Dr Danica Damljanovic

CEO and Co-Founder of Sentient Machines

Read More Case Studies
Maximising data value and business benefits

With a user-friendly web-based data dashboard, Sentient Analytics presents performance metrics in a clear and easy to digest format, providing immediate, actionable customer feedback for agents while uncovering hidden trends and providing business managers with insights to improve call centre services and user satisfaction. To achieve this, Sentient Analytics requires a high quality transcription solution. “We shortlisted 3 companies before choosing Speechmatics,” says Dr Damljanovic, “We need reliability and precise results, and we need them in real-time. Speechmatics is fast, accurate and clearly identifies each participant – it was by far the most robust solution for conversations featuring different accents.” After converting Sentient Analytics’ call analysis into data-driven business decisions, customer care can be improved with personalised agent training, while call centre operations can be optimised, highlighting anomalies and saving time by replacing manual intervention in quality assurance.

Hear from our clients

Speechmatics’ ASR is helping us to reach that goal by providing fast, precise bulk call transcriptions, which can be analysed to provide actionable insights for our customers. We are currently working on some exciting pilot projects which are leading to more streamlining and increased revenue for the businesses involved – we are really excited about the future of this technology.

Want to find out more about our voice technology?

Read about our technology or sign up for our free trial today. The ability to consume Speechmatics’ any-context speech recognition engine directly in the Microsoft Azure technology stack enables businesses to start using the technology quickly without barriers to adoption.

We work with great companies, read some of our partner case studies

We helped RedBee with our technology

pexels-danny-meneses-943096

We work with great companies, read some of our partner case studies

We helped RedBee with our technology

We helped 3PlayMedia with our technology

We helped Vail with our technology

We helped Instructure with our technology

pexels-danny-meneses-943096

Looking to collaborate?

Our Partners