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Carahsoft is the procurement bridge between Deepgram and the public sector. Through Carahsoft's contract vehicles, federal agencies, military commands, state and local governments, education customers, and healthcare buyers can acquire Deepgram on terms that work with their procurement process. Public sector use cases that matter: federal agency call-center transcription for compliance and FOIA responsiveness; DoD contact center voice AI on FedRAMP-authorized infrastructure; veterans services voice agents with multilingual STT; state and local 311 transcription for analytics; education voice automation for student services; healthcare voice AI for HIPAA-aligned PHI handling. The deployment posture matches the procurement posture. Deepgram supports SOC 2, HIPAA, and standard public-sector compliance frameworks. The self-hosted runtime runs in customer-controlled environments (agency cloud, AWS GovCloud, on-premises, and air-gapped) with no audio leaving the protected boundary. For workloads requiring confidential computing (sovereign cloud, classified, or CUI handling), Deepgram pairs with Fortanix for hardware-enforced isolation. If you are a public sector buyer evaluating voice AI, Carahsoft handles the procurement path and Deepgram provides the speech layer. Reach out via Carahsoft or via deepgram.com/contact-us. Outlinks & Resources Carahsoft partner page Carahsoft Deepgram page Deepgram Self-Hosted overview Self-Hosted developer docs Speech-to-Text Privacy: Enterprise Security, Compliance and Data Protection Standard Compliance: HIPAA, SOC 2, GDPR Information Security & Privacy Statement Data Privacy Compliance Contact Deepgram

Accenture is one of the largest global systems integrators, with deep practices across contact center transformation, customer experience, enterprise generative AI, and public sector technology delivery. Deepgram provides the speech-to-text and text-to-speech layer underneath the voice AI workloads Accenture's clients are building. For enterprises evaluating a partner to bring voice AI into production, the practical questions are about workflow design, integration with existing telephony and CCaaS stacks, and day-two operations. Accenture brings the strategy, integration, and managed-services capacity for that work. Deepgram brings the speech models: Nova-3 for streaming STT, Aura-2 for TTS, and a self-hosted runtime for regulated workloads where audio cannot leave the customer's environment. The combined offering covers contact center modernization (live transcription, agent assist, automated quality management, post-call analytics), enterprise voice agents (real-time STT, conversational turn detection, low-latency TTS), and regulated-industry deployments (healthcare, financial services, public sector) where compliance posture and data residency are required from day one. If you are working with Accenture and evaluating Deepgram, or building a voice AI program and want an implementation partner who can ship into production, deepgram.com/contact-us is the direct path. Outlinks & Resources How Enterprises Can Unlock Voice AI Through the Deepgram Partner Ecosystem Deepgram Self-Hosted overview Deepgram documentation Contact Deepgram

500 Global is one of the largest seed-stage VC firms and accelerators, with roughly $2.3B AUM, more than 2,500 portfolio companies across 80+ countries, and 38+ unicorns. Deepgram is now on 500 FounderHub, the perks platform 500 Global runs for its portfolio. For 500 portfolio companies building voice products (AI agents, contact center software, real-time transcription, voice features in consumer or vertical SaaS), Deepgram provides the speech layer underneath. Nova-3 for streaming speech-to-text, Aura-2 for text-to-speech, and the Voice Agent API for full agent workflows are available through the FounderHub benefit. If you are a 500 Global founder, the path to claim Deepgram credits runs through your FounderHub login. For terms beyond the program tier or for enterprise procurement, deepgram.com/contact-us is the direct route. Outlinks & Resources 500 Global 500 FounderHub Deepgram Startup Program Deepgram documentation Contact Deepgram

Technology

8x8's XCaaS (Experience Communications as a Service) brings cloud contact center, voice, video, chat, and APIs together in a single integrated offering, and Deepgram provides the speech-to-text layer inside it. Real-time transcription, call analytics, and voice intelligence inside 8x8 run on Deepgram's Nova-3 model. Speech accuracy has to hold up in the conditions an 8x8 customer actually runs: diverse accents, background noise, and the domain-specific vocabulary (account numbers, policy IDs, product SKUs) that drives self-service interactions. Nova-3 is built for that envelope, with low enough latency to support agent assist on live calls and clean enough transcripts to feed downstream quality-management and analytics workflows. For enterprises running 8x8 Contact Center, the integration covers the surfaces that depend on speech: live transcription for agent assist, automated QM scoring, and post-call conversational analytics. 8x8 handles the call routing, workforce engagement, and CX surface; Deepgram provides speech recognition designed for real-time production use. If you are running 8x8 and evaluating speech recognition, deepgram.com/contact-us is the direct path. Outlinks & Resources 8x8 Platform 8x8 Contact Center Deepgram documentation Contact Deepgram

Technology

Cisco operates some of the largest enterprise voice infrastructure in the world, from contact center platforms to collaboration and unified communications. Deepgram provides streaming speech-to-text for Cisco voice workloads where transcription accuracy and latency matter, with Nova-3 as the underlying model. Real-time speech recognition has to hold up in the conditions Cisco customers actually run: diverse accents, background noise, domain-specific vocabulary, and alphanumeric read-back where a single misheard digit breaks the call. Nova-3 is built for that production envelope, and Deepgram's voice-native foundational models are designed for the throughput a large contact center or voice-enabled product requires. For Cisco IVR platforms, Deepgram integrates through the open-source UniMRCP protocol, which lets enterprises drop Deepgram STT into existing Cisco voice flows without re-architecting the call path. The plugin and developer documentation are published below. If you are a Cisco customer or product team evaluating speech recognition, deepgram.com/contact-us is the direct route. Outlinks & Resources Deepgram Announces UniMRCP Integration to Power Modern Customer Experience Deepgram UniMRCP Plugin (developer docs) Deepgram UniMRCP server plugin (GitHub) Deepgram documentation Contact Deepgram

Alchemist Accelerator is the leading accelerator for enterprise B2B startups, with 650+ companies accelerated since 2012 and $5B+ raised across the portfolio. Alchemist's positioning sits directly on Deepgram's ICP: enterprise B2B, AI-SaaS, and deeptech founders building for enterprise buyers. For Alchemist portfolio companies building voice agents, contact center products, real-time meeting intelligence, or any voice-enabled enterprise feature, Deepgram provides the speech layer. Nova-3 for streaming STT, Aura-2 for TTS, and the Voice Agent API are available as a partner benefit, alongside Alchemist's other named partners (AWS, Google Cloud, Microsoft, Stripe, HubSpot, IBM). If you are an Alchemist founder, the Deepgram perk is accessible through your program portal. For founders beyond the accelerator's credit tier or for enterprise procurement terms, deepgram.com/contact-us is the direct route. Outlinks & Resources Alchemist Accelerator Alchemist Flagship Program Alchemist Portfolio Deepgram Startup Program Deepgram documentation Contact Deepgram

Technology

Axibator is an India-based student and early-stage founder community, with roughly 523 founders building across the country and a focus on Tier 2/3 cities and college campuses. The program runs an eight-week accelerator (Ignite) and on-ground residencies, with mentorship and community support for first-time builders. For Axibator founders building voice products (voice agents, transcription, multilingual assistants for the Indian market), Deepgram provides the speech layer. Nova-3 for streaming STT, Aura-2 for TTS, and the Voice Agent API are available as a partner benefit so student and early-stage founders can build voice features without standing up their own speech infrastructure. If you are an Axibator founder, claim the Deepgram benefit through the program's perks. For founders beyond Axibator who want to evaluate Deepgram on their own terms, the Deepgram Startup Program runs at deepgram.com/startup-program. Outlinks & Resources Axibator Axibator Ignite program Deepgram Startup Program Deepgram documentation Contact Deepgram

Development

Think41 is a full-stack generative AI consulting firm that builds secure, enterprise-ready AI agents. The team has partnered with Deepgram to power both their AI Agent Assist platform and their Voice AI Agent product, with Deepgram's STT and TTS providing the speech layer inside each. AI Agent Assist Think41's flagship Agent Assist system, powered by Deepgram, equips human agents with real-time, contextually aware guidance during live customer interactions and delivers post-call insights to streamline operations. The system includes: Real-time recommendations based on enterprise knowledge bases to assist agents during active calls Post-call analytics with summaries, sentiment scoring, and opportunity insights Direct integration into existing CRM and enterprise systems Voice AI Agent Beyond Agent Assist, Think41 has built an autonomous Voice AI Agent for fully human-like phone interactions. The product handles customer outreach, manages end-to-end flows, and knows when to hand off to a human, with Deepgram providing both the STT and TTS surfaces that make the conversation sound natural in real time. For enterprises evaluating an implementation partner Think41 brings senior engineers with deep generative AI experience and production deployment patterns refined across banking, retail, and enterprise tech customers. The Deepgram relationship means new model capabilities (Flux turn detection, Aura-2 voice options, multilingual coverage) reach client deployments quickly. If you are looking for an implementation partner to bring voice AI into production on Deepgram, Think41 is one of the firms we work with most directly. Contact details below. Outlinks & Resources Transforming Customer Interactions in Real Time: Think41 Partners with Deepgram to Power AI Agent Assist Think41 partner page Think41: Pioneering Full-Stack AI Solutions for Smarter Enterprise Operations (AI Apps) A Year of Voice AI at Scale (mentions Think41 deployments) Think41 Contact Deepgram

Technology

IBM selected Deepgram as its first fully embedded third-party speech model provider after customers asked for higher-accuracy STT and TTS, lower latency, and more flexible deployment than traditional cloud speech services could deliver. Deepgram's speech-to-text and text-to-speech models are now embedded into IBM watsonx, giving enterprises a modern voice AI stack on top of IBM's infrastructure. By embedding Deepgram inside watsonx Orchestrate Agent Builder, IBM clients can build voice agents and voice-enabled workflows on top of a real-time speech foundation that has been refined over more than a decade. Customers tap Deepgram's STT and TTS capabilities directly through their existing IBM environment, without adding extra vendors or commercial complexity. The integration covers contact-center conditions (accents, background noise, alphanumeric read-back) where speech accuracy makes the call usable, latency low enough to feel like a real conversation, and deployment across IBM Cloud, customer VPC, and self-hosted on regulated infrastructure. The integration is announced via joint press release and shipping inside watsonx Orchestrate today. If you are running IBM watsonx Orchestrate and evaluating voice, the integration is built in. Reach out via deepgram.com/contact-us for enterprise terms. Outlinks & Resources Deepgram and IBM Introduce Advanced Voice Capabilities for Enterprise AI Deepgram × IBM: Enterprise Voice AI Inside watsonx CX IBM watsonx Orchestrate Powered by Deepgram Contact Deepgram

Technology

Five9 is one of the largest cloud contact center platforms, and Deepgram provides the speech-to-text layer inside Five9 IVA Studio that powers agent assist, voicebot containment, and post-call analytics. In real-world tests, Deepgram is 2-4 times more accurate than alternative STT options inside Five9 for transcribing alphanumeric inputs (account numbers, policy IDs, tracking numbers, case IDs) that drive self-service interactions. After switching to Deepgram in Five9 IVA Studio, a major US healthcare provider doubled their user authentication rates because the speech recognition could accurately handle account-number read-back at scale. For Five9 customers, this translates into improved call resolution, higher self-service containment without escalating to a live agent, and meaningful cost savings. Adding Deepgram is a configuration step inside IVA Studio. Five9 is Powered by Deepgram. If you are running Five9 and evaluating speech recognition, the case study below has the technical detail. For benchmarks against your own audio, deepgram.com/contact-us is the direct path. Outlinks & Resources Five9 case study (deepgram.com/learn) Five9 case study (deepgram.com/customers) Five9 and Deepgram Partner to Revolutionize Contact Center AI Five9, Powered by Deepgram (partner page) Five9 IVA Studio Contact Deepgram

Technology

Real-time call transcription Twilio Media Streams pipes real-time call audio to Deepgram for transcription. The reference architecture forks audio from calls to a proxy server via WebSockets, the server forwards to Deepgram, and transcripts flow back to subscribed clients. Setup needs a Twilio number, a Deepgram API key, and ngrok for local development. Transcribing Twilio Voice Calls in Real-Time with Deepgram Transcribe Twilio Voice Calls in Real-Time with Rust and Deepgram Twilio and Deepgram STT (developer docs) On-premise Twilio integration tools Recorded call transcription For batch transcription of completed calls, Programmable Voice recordings flow into Deepgram via API. Transcribe Recorded Calls With Twilio (developer docs) Text-to-speech for the response side Aura-2 handles speech synthesis for AI-generated responses on the outbound side of a Twilio call. Twilio and Deepgram TTS (developer docs) Voice agents on Twilio Full voice agent flows orchestrate STT, an LLM, and TTS through Twilio. Documented patterns include OpenAI as the LLM and the Deepgram Voice Agent API as the speech layer. Build a Voice Agent with Twilio, OpenAI, and Deepgram (developer docs) Twilio and Deepgram Voice Agent (developer docs) Workflow automation (Twilio Studio + Pipedream) For non-developer ops teams, Twilio Studio plus Pipedream plus Deepgram delivers automated transcription pipelines with email or webhook delivery. Email Phone Call Transcripts with Twilio Studio and Pipedream Get started If you are building voice features on Twilio, the fastest start is the Marketplace Add-On. For the integration patterns above, the developer docs walk through each end to end. Enterprise terms via deepgram.com/contact-us. Outlinks & Resources Twilio Marketplace Add-On for Deepgram (find Deepgram listing) Twilio Media Streams documentation Deepgram documentation Contact Deepgram

Technology

OneReach.ai's low-code conversational AI platform is comprised of over 10,000 features supporting a composable architecture: a library of Packaged Capabilities (Bots, Flows, Steps, automation sequences, native channel toolkits), an NLU amalgamation engine, human-in-the-loop, native voice architecture, native reporting and analytics, custom databases, and private hosting environments. Deepgram provides the speech layer inside that stack, with Nova-3 for streaming STT and Aura-2 for TTS available as native services. The combination is built for orchestrated, multi-step voice experiences. A customer-service flow can handle authentication, context lookup, and resolution in one conversation. The same architecture supports employee enablement (natural-language IT requests dispatched to the right team) and IT operations workflows (voice queries that return system status and remediation steps). OneReach.ai handles the workflow logic and channel routing; Deepgram provides speech recognition and speech synthesis designed for real-time production use. The integration is documented and supported, with a partnership announcement covering the technical architecture and a joint partner datasheet that walks through the AI-infused customer experience the two companies deliver together. Customers running OneReach.ai across voice and digital channels get the same speech models that 200,000+ developers already build with. If you are building on OneReach.ai and want to start with Deepgram, the integration is configuration. For enterprise terms, deepgram.com/contact-us is the direct path. Outlinks & Resources OneReach.ai and Deepgram Partner to Revolutionize Conversational AI OneReach.ai partner page Deepgram + OneReach.ai partner datasheet (PDF) OneReach.ai datasheet landing page OneReach.ai platform Contact Deepgram

Technology

Vapi is one of the leading voice agent platforms, and Deepgram provides the speech layer inside it. Builders who pick Vapi to ship a production voice agent get Deepgram's Nova-3 STT, Flux for conversational turn detection, and Aura-2 TTS as native model options, configured in a few clicks rather than a custom integration. Vapi handles 62M+ calls monthly with 99.99% uptime, making it the proven choice for enterprises requiring scale across voice, SMS, and chat. Deepgram is integrated for its speed and human-like voice quality, and powers the STT and TTS surface that real production voice agents depend on. Voice agent quality lives in the speech layer. The transcription needs to handle interruptions, background noise, accents, and the alphanumeric read-back that real conversations include. The TTS needs to sound natural at low enough latency that the caller does not notice. Deepgram's voice-native foundational models are built specifically for those requirements, and Vapi exposes them as the platform's recommended models for production agents. The pattern: a developer picks Vapi to handle orchestration (transport, interruption, tool calls, state), picks Deepgram models for STT and TTS, drops in an LLM, and ships a working voice agent in hours. For latency-critical or regulated workloads, the same Vapi configuration runs against Deepgram's self-hosted runtime, keeping audio inside the customer's environment. If you are building a voice agent on Vapi and want production-grade speech, Deepgram is the default. Resources below. Outlinks & Resources Vapi partner page Vapi: Voice AI Platform for Developers (Deepgram AI Apps) Vapi: Voice AI Platform for Developers (Voice AI Apps) Top Voice AI Agents for 2026: The Ultimate Buyer's Guide Vapi platform Deepgram Voice Agent API Contact Deepgram

Technology

Deepgram's speech-to-text integration into Genesys Cloud is generally available through the Genesys AppFoundry, with commercial procurement simplified through Genesys billing. The Deepgram-Genesys Transcription Connector is an advanced integration that brings Deepgram's automatic speech recognition into Genesys workflows natively, without third-party tools or manual intervention. For contact center teams, this means real-time, high-accuracy STT slots into existing Genesys workflows: agent assist, generative IVR, diarized transcription, call summarization, sentiment analysis, agent coaching, and post-call analytics. With Deepgram's STT and language AI capabilities integrated, Genesys customers can build conversational AI solutions across the suite on a higher-accuracy speech foundation. Nova-3 hits 5.3% Word Error Rate on clean audio and 6.8% on noisy, real-world audio inside Genesys, with 40x faster inference than legacy STT providers. For QM and Interaction Analytics teams, that translates into cleaner transcripts feeding every downstream rule, redaction step, and sentiment score. For Genesys Cloud customers, adding Deepgram is a configuration step. Install from AppFoundry, configure routing, and start transcribing. If you are running Genesys Cloud, the AppFoundry listing is the fastest activation path. For benchmarks on your own audio, deepgram.com/contact-us is the direct route. Outlinks & Resources Deepgram Partners with Genesys to Power Conversational AI Deepgram and Genesys Partnership: Enhancing Voice Automation with the New Transcription Connector Integration Genesys partner page Genesys AppFoundry listing Genesys and Deepgram (developer docs) Contact Deepgram

Technology

Vonage runs one of the largest cloud communications platforms in the world, and Deepgram provides the speech layer for AI-powered voice features built on top of it. Through Vonage Voice and the Vonage Marketplace, developers get access to Nova-3 STT and Aura-2 TTS without setting up a separate speech infrastructure. Real-time transcription on Vonage calls Vonage Voice routes call audio to Deepgram for streaming STT. A Python tutorial walks through creating a Vonage application, connecting it to a Deepgram API key, and emitting real-time transcripts. The pattern works for live call transcription, agent assist, and post-call analytics. Speech Recognition with Vonage and Python Real-time translation for contact centers A joint Vonage + Deepgram proof-of-concept combines telephony, voice AI, and real-time translation in one workflow. Vonage orchestrates call setup, routing, and audio streaming through its Communications APIs while Deepgram processes both the agent's and caller's audio streams in real time, delivering low-latency speech-to-text. Translation closes the loop. The use case: cross-language customer service without standing up separate translation infrastructure. Vonage and Deepgram: Enabling Real-Time Translation for Contact Centers Get started For Vonage customers, the activation path is the Marketplace listing. For deeper integrations, the Vonage AI Studio supports Deepgram as a speech provider in conversation flows, and the Vonage Voice API streams audio to Deepgram for real-time use cases. Enterprise terms via deepgram.com/contact-us. Outlinks & Resources Vonage partner page Vonage Voice API Vonage AI Studio Deepgram's Partners Drive Contact Center Transformation with Voice AI Deepgram documentation Contact Deepgram

Technology

Deepgram's low-latency STT and TTS models are served via Cloudflare Workers AI, with inference running in more than 300 edge locations worldwide. Pairing Deepgram's low-latency audio models with Cloudflare's edge network gives developers real-time voice AI without fighting cold starts or regional slowness. The pattern: build end-to-end voice agents on a single platform by capturing audio, streaming to Deepgram via WebSockets, orchestrating logic and LLMs in Workers, and serving results at the edge. The CDN, serverless compute, and transcription endpoints all live inside one platform instead of being stitched together across vendors. Every interaction benefits from Cloudflare's built-in TLS termination, DDoS protection, and caching for secure, reliable performance. If you are building voice features on Cloudflare and want a production speech provider, Deepgram's models are reachable directly from Workers. The partnership announcement below has the technical details. Outlinks & Resources Why the Deepgram + Cloudflare tie-up actually solves real problems Cloudflare partner page Cloudflare Workers documentation Deepgram documentation Contact Deepgram