Deepgram, a startup developing voice recognition models for the enterprise, today announced the Deepgram Startup Program to provide select companies with custom-trained speech models.
Deepgram has also added a range of features to its platform, including a revamped developer console, software development kits, and API documentation.
Deepgram CEO and cofounder Scott Stephenson told VentureBeat:
“The pandemic accelerated the need for digital experiences, and voice technology emerged as a must-have for companies looking to stay connected to both employees and customers,”
“With the Deepgram Startup Program, we’re arming the next generation of startups and developers with the tools they need to excel in the speech space.”
According to Stephenson, the Deepgram Startup Programme is designed to help entrepreneurs and developers “harness the power of speech recognition quickly and easily at no cost.” As a part of the programme, Deepgram will offer $10 million in free credits, with a specific focus on startups in education and employee experiences.
Among the capabilities Deepgram released to coincide with the launch of the Deepgram Startup Programme, the highlight is an enhanced developer console. One of the key features is Missions, which provides users with a learning path for getting started with Deepgram. The console also aims to simplify usage and billing by offering promotional credits and automated re-enrollment, as well as account management.
The soft development kits enable developers to transcribe both real-time streaming and prerecorded audio, leveraging libraries, documentation, code samples, and processes written for Python and Node.js.
The Deepgram Startup Programme and new features follow a $25 million in the capital that Deepgram raised from Tiger Global and other investors. The San Francisco, California-based Y Combinator graduate, which was founded in 2015 by Noah Shutty and Stephenson, claims to have processed more than 100 billion words to date for its over 60 customers.
