Introducing Deepgram’s Enterprise Voice AI Accelerator Program

At Deepgram, we’ve spent the better part of the last decade building, deploying, and operating thousands of voice AI models for our customers to process billions of hours of conversational audio in production. We’ve learned a lot from these experiences, and we’re excited to formally share them with participants in our new Enterprise Voice AI Accelerator Program. 

Since ChatGPT's initial release took the tech world by storm, companies across industries have found themselves contemplating how to integrate AI into their operations, with estimates that 80% of enterprises will use generative AI APIs or deploy generative AI-enabled applications like voice AI agents within the next two years. However, current spending has remained small relative to overall IT budgets due to a mix of interrelated business and technology challenges including:

• Uncertainty over ROI given technical roadblocks related to performance, cost, and trust, and poorly implemented use cases that hinder widespread engagement by both customers and employees.
• A history of struggles with less complex “traditional AI” projects which failed to move beyond the lab into production 85% of the time.
• Scarcity of high-skilled talent needed to build, deploy, and maintain complex, generative AI systems at scale. 
• The need to maintain complete control of all customer and company data in compliance with existing security and privacy requirements.
• Fear of making the wrong bets on a technology that continues to evolve and advance by the day. 

In spite of these concerns, developers and businesses alike are eager to build and deploy voice applications and AI-powered voice agents at scale to drive automation, boost worker productivity, and alleviate labor shortages that constrain growth and elevate corporate risk. However, bringing AI agents into production is hard; but it doesn’t have to be. Not when you have the right partner with the experience and expertise to help you address a number of critical areas:

• Noisy audio: Speech-to-text models need to be robust to handle a range of environmental conditions and background noise commonly captured in real-world audio recordings.
• Latency: Real-time applications like conversational voice agents need lightning fast response times to produce an engaging user experience and meet the rigorous demands of enterprise organizations where time is money and every second counts.
• Controllability: Developers require extensive control across the voice AI application stack and need flexible options for handling confidential information during transcription, adjusting the dialect and tone of synthesized voices, and choosing the optimal LLM or fine-tuned task-specific language model best suited for a given use case.
• Scale and concurrency: Many enterprise use cases will require large-scale adoption in order to generate meaningful ROI. The underlying AI models and infrastructure must be designed from the ground up to handle high-throughput applications.
• Privacy and security: For many organizations, enterprise-grade privacy and security, as well as flexible deployment options (e.g. options for VPC and on-premises deployment), are table stake requirements to operationalize voice agents in production. 

We're already working with several dozen companies who are actively building a diverse range of voice AI solutions and AI agents for voice ordering systems, personal AI assistants, automated drive-thru tellers, and autonomous customer service bots. Our accelerator program is all about shortening the time to launch voice applications into production, and today we're thrilled to announce the expansion of this program which provides a number of key benefits including:

• Participation as an early build partner with access to the experience and expertise of Deepgram’s technical staff
• Help with system architecture design, model selection, and model customization for your specific use case
• Faster time to market with the hands-on support you need to quickly move from POC all the way to full production at scale
• Exclusive early access to unreleased voice AI innovations
• Discounts and priority placement in developer workshops and community events like our upcoming Voice AI Agents Workshop
• A generous pool of free developer credits and access to Deepgram’s pre-production environments to support your development and testing needs

If you’re struggling to build, deploy, or scale high-performing voice applications in production, our incubation program can help. Sign up using the submission form below to join Deepgram’s Enterprise Voice AI Accelerator Program today!

In conjunction with this program, we’re also excited to announce an exclusive developer workshop for building AI-powered voice agents. This hands-on workshop hosted by Deepgram and Groq is designed to provide developers with the practical knowledge and skills needed to build voice AI agents that can understand, process, and respond to human speech. Our experts will guide you through the fundamentals of AI agents, share best practices from industry leaders, and explore real-world use cases. 

By joining the workshop, developers will receive:

• Expert guidance on how to build voice AI agents with speech-to-text and text-to-speech
• Access to open-source code and $1,000 in Deepgram credits to build with during and after the workshop
• Unlimited Groq credits to use (valid only during the workshop)
• Live Q&A for practical tips from experts at Groq and Deepgram
• Networking opportunities with like-minded professionals in the voice AI community

If you’re interested in attending the workshop, click here to learn more and register. Right now, we are offering a 20% discount with code AUGAI20 when you register before August 31st. 

If you have any feedback about this post, or anything else around Deepgram, we'd love to hear from you. Please let us know in our GitHub discussions or contact us to talk to one of our product experts for more information today.