Speech recognition (non cloud)

Current Speech Recognition systems are extremely limited due to their dependence on cloud.

  • Not ideal for financial
  • Not ideal for medicine
  • Can't work offline

Zontisa has created a speech recognition platform that works on modern operating systems and doesn’t use the cloud.

  • Minimum Size: 40 MB
  • Allows Custom Dictionaries
  • Supports Natural Language

Did you know that doctors spend 50-60%* of their time in data entry (EHR)?

We are making a better future because our technology can be used by doctors and medical professionals to rapidly create EHR (electronic health records) with their voice.

Research has shown that current speech recognition platforms favor male speakers over female speakers
We are also making a better future because our Speech Recognition can adapt to the voice of the speaker (male or female).

Machine Learning

Machine Learning is a form of Artificial Intelligence where a system is capable of extending it’s original programming by learning from data provided.

With Machine Learning, the software developer becomes the teacher (trainer) and the computer becomes the student.

The purpose of Machine Learning is to TRY to make computers to think as accurate and fast as human recognition.


What is Natural Language Processing?


NLP (Natural Language Processing) is the process where a computer is capable of understanding unstructured, conversational human speech.

The user can simply speak to the application in their Natural Language and the system will understand and respond.

The ultimate goal for Natural Language Processing is to create a system (or application) where there in no need for instructions on how to use it.

NLP has the potential to make computing systems available for under-served groups such as the blind, illiterate, and young children.

We are also making a better future because our NLP technology can reduce inequalities for people who SPEAK, but may not be able to READ a language.