Deepgram

“We evaluated several speech-to-text providers, but Deepgram stood out immediately for Brazilian Portuguese. Other solutions struggled with domain-specific vocabulary—confusing car model names like 'Ônix' with common words like 'ônibus' [bus]. Deepgram got it right, even in noisy environments like traffic or subway calls. That accuracy was non-negotiable for us.”

““On the call tracking side, Deepgram’s speech data has been invaluable for our customers so they can understand important insights around which marketing tactics and campaigns are working. On the contact center side, accurate transcriptions are key for agent training to help contact center managers understand the full call context and search the transcription for certain words and phrases that might indicate abusive or disgruntled customers.””

““Deepgram is by far the most accurate speech vendor we evaluated and we’ve seen a tremendous improvement since deploying Deepgram, both on the call tracking analytics and contact center side,” said Fisher.”

“"Over the course of about a week after introducing Deepgram’s Nova‑3 model, the quality of the voice experience improved noticeably. Now, when it returns a high‑confidence score, we know we can trust the transcript without question."”

“For Conversational AI voicebots, it all starts off with speech recognition. If you don’t understand what the person said and transcribe it to text accurately, you are not in the game. Unfortunately, the general ASR models standardize around 70% accuracy, and it is just not good enough to respond to a caller with real-time accuracy and relevance. Our partnership with Deepgram and their models in conjunction with our internal models that are trained on case-specific data get well over 90% accuracy.”

“When we came across Deepgram, what stood out to us and what we noticed as a real differentiator in the market, was its ability to train custom models. As we’ve begun to roll out Deepgram to our customers, we’ve noticed the platform’s distinct ability to quickly and accurately transcribe product and company names, which is critical to them.”

“Deepgram transformed collections from a friction-filled, risky process into a proactive, brand-positive experience at scale—giving us total visibility, faster resolutions, and making compliance a strategic advantage rather than a constant worry.”

“Deepgram Speech-to-Text in AWS Marketplace helps our customers add accurate captioning to their videos to increase accessibility and drive viewer engagement””

“As we use more AWS services–which now include Deepgram–we improve our unit economics, ultimately increasing cost-efficiency as we scale globally.”

“Accessing Deepgram’s top-tier transcription solution through AWS Marketplace drives additional ROI by allowing us to leverage AWS credits for their best-of-breed transcription service and earn increased volume-based discounts.”

“We’re already committed to AWS for its reliability, scalability, and global reach, which supports our expansion and helps us deliver a high performing service worldwide.”

“Deepgram’s usage-based pricing model in AWS Marketplace ensures we get the most value for our investment, making it easy to scale as needed while maintaining cost efficiency.”

“What Deepgram in AWS Marketplace has allowed us to do is quickly implement a top-tier speech recognition solution with superior performance at a low enough cost that all of our customers can reap the benefits.”

“By leveraging Deepgram through AWS Marketplace, we avoided the need for direct licensing and self-provisioning, which helped us sidestep operational inefficiencies like upfront server costs and additional operating expenses from multiple vendors,”

“We chose Deepgram Flux for its high accuracy and consistent real-time performance, running directly on Telnyx-managed GPUs at the edge so our voice experiences feel instant; latency is constrained by physics, not external APIs.”

“We were really impressed by the service, responsiveness, and general rapport of the Deepgram team complemented with superlative results of the speech recognition testing; it put them over the top.”

“We deliver complete private AI to enterprises and consumers. For us, voice AI vendors should be collaborative partners who help us bring state-of-the-art intelligence to end users who value privacy. For Prem, Deepgram is one of the key components turning that vision into something enterprises can run today: sovereign, verifiable AI agents that can finally speak the languages of their most regulated, privacy-sensitive users.”

“Across many conversations, especially in healthcare, we're seeing a clear pattern: voice is becoming the primary interface, as long as it's private by design. The integration with Deepgram is unlocking real-time workflows while preserving the strict confidentiality these environments demand. For voice AI vendors considering sovereign deployments, Prem's position is clear:”

“With Deepgram’s accurate and fast speech-to-text solution, We’re the Google Analytics of podcasts.”

““What Podsights does is provide what’s called ‘digital style,’ or pixel-based attribution for the podcast media space. Effectively, what we’re doing is calculating the metrics that brands and agencies can use to create an accurate, apples-to-apples comparison between podcast media and all other forms of advertising.””

““Ad spend on podcasts was $170M. This year spend hit $1.3B.””

““Brands weren’t willing to dip their toes in the podcast media space because there were really only old school, unconnected attribution methodologies out there.””

“Deepgram is a core part of our offering, and it will remain so. We have found more than a STT solution but a partner in Deepgram to help us innovate and improve upon our offering.”

““Voice AI is a systems problem, not just a model problem,” said Mundra. “Improvements in one model don’t translate to better outcomes unless the entire pipeline works reliably and with low latency.””

““When we began acting on interim transcripts and combined that with word timestamps, the agent could trigger API calls and follow-ups mid-utterance,” said Pratik Mundra, co-founder of SigmaMind AI. “That shift unlocked much richer, multi-step voice workflows.””