Accelerate Customer Experience innovation and reduce Contact Center costs
Harness the power of Gyst for your voice applications.
"I've never seen any other technology start producing results so quickly - a lot of bang for very low risk"
Bruce Balentine, Author, Speech Design Consultant.
ADVANCED VOICE PERSONALIZATION
Increase call automation and reduce handle times with your existing voice platform
Gyst uses machine learning, advanced algorithms, and generative AI to measure, analyze, and optimize the user experience for every caller in real time. It does this every time the user responds to your voicebot and/or IVR. The playback rate adjustments are subtle and driven by the skill of the customer at each turn of the call flow.
- Adaptive Playback Control - Dynamically speeds up or slows down audio at every conversation turn based on caller skills
- Intelligent Opt Out - Tracks caller progress and gets them to an agent or another channel before they get frustrated.
- Smart Modality Switching - Offer speech only, touch-tone only, or both based on what works best at each conversation turn.
- Intelligent Timeout Control - Allows extra time for struggling callers to respond to your voice prompts if needed.
- Machine-Learned Audio Prompts - Provides additional audio instructions for callers struggling in the voice channel.
- Machine-Learned Audio Playback - Proactively slows down audio playback at interaction points most callers find difficult.
- Generative AI Prompts - Uses additional algorithms to further refine CX adjustments based on caller behavior and the calling environment.
"I am really impressed that a company has come up with this amazingly clever and meaningful product"
Maria Aretoulaki, PhD, Speech Scientist
ADVANCED VOICE PERSONALIZATION
A web API that auto-personalizes your IVR and voicebots
The Gyst Web API specifications, along with complete documentation, is available on Postman.
Postman is one of the most widely used platforms for testing and publishing web APIs and has over 20 million developers around the world. The API supports simple response/requests via the HTTP GET Method, and more detailed and powerful features via HTTP POST.
The best way to familiarize yourself technically with Gyst is to use the API via our collections, which are publicly available on the Postman site via the link below.
Postman is one of the most widely used platforms for testing and publishing web APIs and has over 20 million developers around the world. The API supports simple response/requests via the HTTP GET Method, and more detailed and powerful features via HTTP POST.
The best way to familiarize yourself technically with Gyst is to use the API via our collections, which are publicly available on the Postman site via the link below.
"This technology incorporates an exceedingly clever and intrinsically valuable idea."
Walter Rolandi, Ph.D., The Voice User Interface Company
FOR AMAZON CONNECT
Gyst and Amazon Connect - better together
Gyst can be implemented for any voice platform by calling our web API from your own voice applications. All of the benefits of Gyst's advanced software algorithms and machine learning processes are available via this small, yet very powerful API. Implementing Gyst in this way allows you to quickly learn how your callers interact with your voice applications today, and over time as you implement seasonal and functional changes. It also allows Gyst to guide, and deliver on the fly, the ideal CX parameters for a particular customer at any given time.
We have designed Gyst from the ground up to be secure, reliable, platform agnostic, and highly scalable. We also designed it to be extremely fast and easy to use in new and existing voice applications - whether they are based on premise, in the cloud, or a via a hybrid implementation.
We have designed Gyst from the ground up to be secure, reliable, platform agnostic, and highly scalable. We also designed it to be extremely fast and easy to use in new and existing voice applications - whether they are based on premise, in the cloud, or a via a hybrid implementation.
