Real-time speech-to-text, text-to-speech and voice agent APIs
Deepgram sells voice AI APIs and foundation models for transcription, speech synthesis and conversational agents. Its stack pairs Slurm, NVIDIA GPUs and on-prem HPE/Dell hardware with Kubernetes on AWS, which points to in-house model training rather than reliance on third-party models. Integrations with Twilio, LiveKit, Pipecat and Vapi, plus newly adopted Databricks and Snowflake, show a push into real-time voice agent ecosystems and a more mature data layer.
Notable leadership hires: Director of Accounting, Communications Head
Deepgram, founded in 2015 and headquartered in San Francisco, builds speech recognition, text-to-speech and voice agent technology delivered through a real-time API platform. Its customers are developers and organizations building voice products, including enterprise and federal accounts. Through its OfOne acquisition it also serves restaurant and drive-thru ordering. The company has 51–200 employees and hires across the United States, United Kingdom, France, Singapore, Australia, Indonesia and Uganda. Hiring centers on engineering and sales, with smaller product, research, support and data teams.
Deepgram runs Kubernetes, Terraform and AWS alongside Slurm and NVIDIA GPUs for model workloads. It builds in Python, Go and Swift, uses WebSockets and Socket.IO for streaming, and is adopting Databricks and Snowflake.
Yes. Engineering is Deepgram's largest hiring area, followed by sales, with roles skewed toward senior talent. Overall hiring velocity is currently slowing.
Current work includes full-stack integrations for federal accounts, proof-of-concept execution for strategic deals, real-time analytics and operational intelligence, an ERP migration, and scalable support infrastructure.
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Deepgram's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.