Speech Recognition Platform

Highlights

  • A complete delivery ecosystem for embedding speech recognition technology into healthcare solutions.
  • The platform is integrated into diverse products and used by many hospitals and doctors.
Technologies: Java, Visual Studio, Specflow, Selenium, NUnit, JMeter, Jenkins, Nagios, F5 load balancer, Microsoft Azure, SoftLayer, Amazon Web Services
Services: Software Development, Software Testing, DevOps

Solution

The project is a complete software development and delivery ecosystem for developers of healthcare solutions who want to embed speech recognition technology into their applications.

The platform delivers cloud, network-based, secure speech services and client-side software to support speech-enabled clinical documentation from any application and on any device.

Our client is a leading provider of voice recognition and natural language understanding software solutions for consumers and businesses of all types.

With thousands of patents (applications) that support millions of desktop solution users and mobile installations, the client has shaped the voice industry, while enhancing healthcare-focused technology solutions.

Collaboration

Initially, our client sought a trustworthy, committed, and flexible software engineering partner that could address its software testing challenges and would have the capacity to scale as needed.

First, we helped our client re-architect a complete automated testing framework for its Speech Recognition Platform targeting the healthcare industry, while ensuring continuous testing across multiple projects.

As our partnership evolved, the client entrusted us with collateral IT delivery and IT operations activities and projects, including technical documentation writing, software development, and release management.

The newest direction in our collaboration has been DevOps, triggered by the need to transition to a continuous delivery approach.

Client Benefits

Industry Compliance

In-depth know-how and integration of industry standards and regulations.

Proactivity

Of the nearshore team, establishing an open and reliable environment.

Autonomous Dedicated Team

Capacity to scale-up and integrate new functions in a seamless team extension model.

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