D

Deepgram

Builds voice AI APIs for developers

Federal Partner Manager

Full-Time
$200k - $250k/yr
Senior
Remote in USA+1 moreMore locations: California, USA
Remote
Sales & Account ManagementBusiness Development & Partnerships
No H1B Sponsorship
US Citizenship Required

About the job

Requirements
  • U.S. citizenship is required.
  • At least 7 years of experience in partner management, alliances, business development, or federal enterprise sales, including 3–5 years directly owning Systems Integrator, Prime, or hyperscaler federal relationships.
  • A demonstrated track record of building sell-to, sell-through, and sell-with motions with named federal partners and delivering measurable partner-sourced and partner-influenced revenue.
  • Experience scaling a federal partnership from an early stage or from zero rather than inheriting a mature program.
  • Strong knowledge of federal Systems Integrator and Prime operations, including capture teams, delivery centers, Centers of Excellence, contract vehicles, teaming agreements, and deal sourcing and staffing.
  • Fluency in the federal artificial intelligence landscape, including large language models, agentic artificial intelligence, mission software factories, FedRAMP and Department of Defense Impact Level authorization pathways, and hyperscaler federal co-sell motions.
  • Hands-on experience building or using artificial intelligence tools, agents, automations, or data workflows that replace meaningful human effort.
  • Executive presence sufficient to engage partner senior vice presidents, federal practice leads, and the company’s executive team.
  • Analytical rigor, including instrumenting owned activities and translating data into decisions.
  • Ability to work independently with high ownership in a fast-moving, ambiguous environment.
Responsibilities
  • Own the federal partner strategy end-to-end with the Vice President of Federal.
  • Build and execute named-account strategies for federal and strategic hyperscaler partners, including joint value propositions, partner account plans, solution plays, and governance cadences.
  • Drive sell-to, sell-through, and sell-with motions with Systems Integrators, Primes, and hyperscaler partners.
  • Land Deepgram as an embedded speech and voice artificial intelligence layer inside partner artificial intelligence platforms, mission software factories, and delivery accelerators.
  • Establish repeatable Systems Integrator- and Prime-led offerings for federal agency customers.
  • Co-sell into named federal accounts with Systems Integrator and hyperscaler account teams, owning joint pipeline, forecast, and deal execution alongside Federal Account Executives.
  • Build partner-sourced and partner-influenced pipeline, set targets, instrument the pipeline end-to-end, and own the resulting revenue number.
  • Build the federal partner enablement and credentialing or certification program with the partner team.
  • Align the Applied Engineering and Field Development Engineer playbook with Systems Integrator and hyperscaler delivery teams.
  • Create joint solutions with product, engineering, solutions architecture, and partner industry and mission practices, including reference architectures, delivery playbooks, and offerings for Defense and Department of War, Federal Civilian, Intelligence Community, and State, Local, and Education organizations.
  • Design and launch partner enablement such as technical certifications, sales plays, Government Cloud demonstration environments, solution-led training, and contract-vehicle placement.
  • Build and deploy artificial intelligence systems, agents, automations, and data pipelines to operate the federal alliances function at scale.
  • Develop agents that monitor alliance news, contract awards, General Services Administration Schedule updates, and account movements and automatically draft briefs.
  • Automate partner-sourced pipeline hygiene, account mapping, and co-sell attribution using the company’s customer relationship management system, Slack, and partner portals.
  • Generate partner-specific collateral, solution briefs, and enablement content for agency verticals using artificial intelligence.
  • Create data pipelines joining the company’s customer relationship management system with partner account maps and public procurement signals from SAM.gov and USASpending to identify co-sell opportunities.
  • Represent Deepgram in alliance quarterly business reviews, joint executive briefings, federal artificial intelligence summits, and industry events.
  • Partner cross-functionally with Federal Account Executives, Applied Engineering, Capture and Proposal, Government Affairs, and Legal to accelerate partner-driven revenue.
  • Own the federal partner dashboard covering partner-sourced pipeline, partner-influenced pipeline, joint wins, certified resources, joint solutions launched, and partner net promoter score, and report results monthly and quarterly.
Desired Qualifications
  • An active security clearance.
  • Strong existing relationships inside at least two Systems Integrator or Prime partner organizations.
  • Direct experience launching a joint federal offering or solution that produced repeatable agency engagements.
  • Experience in speech, voice artificial intelligence, Contact Center as a Service, or adjacent domains such as AWS Connect Government Cloud, Genesys Government, NICE, or ServiceNow Federal.
  • Experience building internal artificial intelligence tooling, including agents, retrieval-augmented generation systems, or customer relationship management automations, for a revenue team.

About the company

D

Deepgram

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cbWebsite

Deepgram builds speech software for developers and businesses that turn spoken conversations into text, generate voices, and run automated phone agents. Its Nova recognition models process live audio and recordings, with tools to identify speakers and recognize industry terms. Developers send audio or text through its APIs and receive transcripts, spoken responses, or extracted information that their applications use in customer service and other workflows. The company sells usage priced by audio minutes or generated characters, with prepaid credits and enterprise contracts for larger deployments. Deepgram was founded in 2015 and is headquartered in San Francisco, California, United States.

Company Size

51-200

Company Stage

Series C

Total Funding

$233.3M

Headquarters

San Francisco, California

Founded

2015

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Simplify Jobs

Simplify's Take

What believers are saying

  • Expansion has fresh financing: Deepgram raised $130 million in January 2026 to develop its voice platform and expand internationally.
  • Regional demand is rising: Deepgram reported 96% annual growth in APAC API requests in August 2026.
  • US engineers have geographic flexibility: Deepgram lists remote inference and voice-agent engineering roles across the United States.

What critics are saying

  • Faster responses consume more model calls: Deepgram says Flux's optional early predictions add 50-70% more language-model calls.
  • Customer deployments add security work: Deepgram's self-hosted containers leave tenant authentication and log separation to operators.
  • Inference engineers face changing requirements: Deepgram's role posting warns against expecting a highly prescriptive 9-to-5.

What makes Deepgram unique

  • Flux combines two jobs: one model transcribes speech and decides when a speaker has finished.
  • Customers control where conversations stay: Deepgram's self-hosted deployments keep audio and transcripts inside customer infrastructure.
  • Its efficiency work has patent protection: Deepgram's speech recognition patent covers batching and parallel processing.

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Benefits

  • Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-4%
Genesys
Sep 2nd, 2026
Genesys enhances Agentic Virtual Agent amid growing enterprise adoption.

Genesys enhances Agentic Virtual Agent amid growing enterprise adoption. Faster development, advanced AI reasoning, new voice innovations and deepened enterprise connectivity enable virtual agents to act across business systems and resolve more complex customer requests LAS VEGAS - Sept. 2, 2026 - Today at Xperience, Genesys(R), a global leader in agentic orchestration for customer experience (CX), announced advancements to Genesys Cloud(TM) Agentic Virtual Agent that will help organizations automate more complex customer interactions with greater speed, reliability and natural engagement. New enterprise connectivity and interoperability will also expand the ability of Agentic Virtual Agent to securely work with business systems and other AI agents to drive customer outcomes across the enterprise. Since becoming generally available last March, continual enhancements for Agentic Virtual Agent are making it easier to build, test and optimize autonomous customer experiences alongside the new Scaled Cognition APT-2 large action model as well as new native voice capabilities and integrations with ElevenLabs and Deepgram. Agentic Virtual Agent will also provide deeper Model Context Protocol (MCP) connectivity and Agent2Agent (A2A) interoperability with enterprise platforms. Organizations including Global Payments, MTN South Africa, Utility Warehouse, UOL and Charles Sturt University are choosing Agentic Virtual Agent to advance beyond traditional automation. For some organizations, that impact is translating into multimillion-dollar annualized savings. Customers are also reporting improved satisfaction and Net Promoter Score gains of more than 70 points, with some deployments going live in as little as a few weeks. Increasing the reliability of automated experiences Genesys is expanding the intelligence behind Agentic Virtual Agent through the latest Scaled Cognition APT-2 large action model, designed to improve reasoning accuracy, factual grounding and execution reliability. APT-2 supports richer agent specifications, longer and more complex workflows, faster response times and improved multilingual performance. These enhancements help Agentic Virtual Agent reason through sophisticated customer requests and carry work toward resolution within enterprise-defined guardrails, all while helping reduce experience failures that can erode trust. Creating best-in-class voice experiences New voice capabilities for Agentic Virtual Agent are designed to enable more natural, responsive conversations. Through End-of-Turn Detection, Agentic Virtual Agent will understand when a customer has finished a thought, helping conversations flow with fewer awkward pauses and interruptions. With Contextual Tuning, Agentic Virtual Agent will automatically adapt its terminology, tone and speaking style to reflect an organization's business and brand as well as the context of each interaction. Genesys is also providing greater customer choice through new integrations with ElevenLabs and Deepgram across voice generation and conversational speech recognition. * Through ElevenLabs, organizations will be able to access expressive, natural-sounding voices for engaging virtual agent interactions while maintaining Genesys Cloud governance and enterprise controls. * Deepgram will bring real-time speech recognition built for conversational AI, helping Agentic Virtual Agent understand interruptions, turn-taking and changing intent as people speak. Richer, more timely context gives the agent stronger inputs for reasoning and action, supporting faster responses and more reliable task completion. These new capabilities can make voice interactions with Agentic Virtual Agent feel more fluid and natural, helping organizations deliver engaging customer experiences that increase successful self-service and reduce unnecessary escalations to human agents. Building trusted agentic experiences faster Across the development lifecycle, organizations can more rapidly build and deploy Agentic Virtual Agent experiences. With spec-driven development, teams can describe desired customer experiences and outcomes using existing materials such as process documentation, standard operating procedures and interaction transcripts, which AI helps translate into deployable configurations. Development teams can also use a range of tools such as Anthropic's Claude Code, OpenAI Codex, Cursor and Kiro to create specifications that can be brought into Genesys Cloud for testing and governance, providing flexibility while maintaining enterprise oversight. Genesys is introducing new AI-assisted authoring that analyzes how Agentic Virtual Agents are designed, identifies opportunities to improve their effectiveness and recommends ways to drive better customer outcomes. New AI-powered testing, expanded reporting and detailed auditability will also help organizations validate Agentic Virtual Agents before deployment, understand their actions and continuously improve performance over time. Creating the most connected Agentic Virtual Agent Building on orchestration capabilities from its recent acquisition of Pinkfish, Genesys is expanding Agentic Virtual Agent with more than 500 enterprise integrations and access to over 25,000 MCP-compatible tools, making it easier to connect to the business context, systems and tools behind customer interactions. This will enable Agentic Virtual Agent to securely access CRM, ERP, IT service management, knowledge, collaboration, billing and other business applications to gather context and take action to help resolve customer requests. Progressing multi-agent enterprise Action A2A interoperability will enable Agentic Virtual Agent to securely collaborate with specialized AI agents across platforms such as Salesforce and ServiceNow, delegating tasks and coordinating work across multistep business processes. Combined with MCP-based access to enterprise tools, A2A will connect customer conversations to the systems and AI agents needed to reach resolution. For example, Agentic Virtual Agent will be able to coordinate with specialized AI agents across enterprise platforms to resolve a billing issue, from retrieving account information and evaluating policies to completing backend tasks, while maintaining context throughout the customer interaction. Agentic Virtual Agent will also support customer engagement across digital channels, including WhatsApp, enabling organizations to bring agentic experiences to customers through the channels they choose while A2A and MCP provide interoperability with the enterprise systems and AI agents behind those interactions. Global customer momentum Around the world, organizations are realizing measurable business impact with Agentic Virtual Agent, including: * Riachuelo, one of Brazil's largest fashion retailers, replaced its traditional chatbot with Genesys Agentic Virtual Agent, increasing customer retention from 30% to 84%, improving its CSAT by 60 points within the first year and boosting productivity by more than 400% without adding staff. * Zeppelin Rental GmbH, a leading provider of rental and construction support services, is enhancing its digital customer experience with the Genesys Agentic Virtual Agent. By enabling customers to describe their job site needs in natural language instead of having to search through product catalogs, the solution makes relevant products, services and information easier to find. This creates a simpler, more intuitive self-service experience while helping to reduce pressure on traditional service channels. "Enterprise AI is entering a new phase defined by what it can accomplish for customers," said Mike Szilagyi, senior vice president and head of product at Genesys. "We're further strengthening Genesys Cloud Agentic Virtual Agent with more context, intelligence and capabilities to act across the enterprise, work with other AI agents and carry increasingly complex customer requests through resolution. This is how businesses can turn customer intent into meaningful outcomes at scale." Genesys Cloud Agentic Virtual Agent capabilities announced today, including the Scaled Cognition APT-2 model, new development tools and the Deepgram integration, are available now with ElevenLabs expected to be available in the third quarter of the company's fiscal year (Aug 1-Oct. 31, 2026). Additional capabilities, including native voice enhancements, A2A interoperability and AI-assisted authoring, are expected to become generally available in the fourth quarter of the company's fiscal year (Nov. 1, 2026-Jan. 31-2027). Forward-Looking Statements Statements in this press release that are not historical or current facts are forward-looking statements that involve risks and uncertainties. Unless required by law, Genesys undertakes no obligation to update or revise any forward-looking statements to reflect circumstances or events after the date of this press release. About Genesys Genesys(R) empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud(TM) is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai. (C) 2026 Genesys. All rights reserved. Genesys, the Genesys logo, Genesys Cloud, Genesys Cloud CX, GCXNow, Experience as a Service, AppFoundry and Genesys Orchestrators are trademarks, service marks and/or registered trademarks of Genesys. All other company names and logos may be registered trademarks or trademarks of their respective companies. Media Contact

Tech by Dhiraj
Aug 25th, 2026
India’s Ringg gets backing from Peak XV as it pushes voice AI past the phone call.

India’s Ringg gets backing from Peak XV as it pushes voice AI past the phone call. - August 25, 2026 More than 76% of consumers in India prefer talking to businesses over a phone call, according to a recent study from Truecaller. Since voice is still consumers' preferred way to communicate, that leaves a big opportunity to automate support and outreach calls using voice AI in the country. Voice AI startup Ringg, which already processes 20 million call attempts a month, is betting that volume keeps climbing over the coming months, and it just raised more money on that belief. The company said today it has landed $10 million from Peak XV Partners as an extension of its Series A. It had previously raised $5.5 million in a Series A round earlier this year, bringing the round's total to $15.5 million. Ringg started life as a text-to-speech startup called DesiVocal, but training its own speech models proved expensive, so the founders moved up the stack - building voice AI agents for enterprises instead. Indian fintech Cred became its first customer, and Ringg has since signed Indian startups like Flipkart, Practo, Groww, and PolicyBazaar. "At the start, we were doing high-volume, low-complexity use cases like outbound calling, lead qualification, loan collection, and more. We quickly realized these are not sticky use cases, and so it's always going to be a price game," the startup's co-founder Siddharth Tripathi told TechCrunch. Ringg still serves some of those simpler use cases, but it has set its sights on more complex workflows: appointment booking for healthcare clinics, abandoned-cart recovery for e-commerce sites, and onboarding/KYC ("know your customer") checks for fintech apps. Tripathi said Ringg's voice agent now runs across 1,200 clinics for the healthcare app Practo, helping patients book visits or follow up on next steps post-visit. Voice calls still make up over 70% of Ringg's business, but the startup has started branching into other channels, including chat and WhatsApp. For some clients like Shell, it's also automating browser-based support requests. Why is the DOJ investigating Andreessen Horowitz over board seats? Equity Podcast 0 seconds of 39 minutes, 2 seconds Volume 0% "We are trying to position ourselves as a platform for agents that bring outcomes or get things done rather than voice agents for enterprises," Tripathi said. Most of Ringg's customers are based in India, with a handful in the Middle East and the U.S. But the startup isn't trying to sell directly to U.S. companies; instead, it wants to partner with so-called Global Capability Centers in India - the offshore hubs multinationals increasingly lean on for back-office and support work - to sell automation capacity alongside human support. Tripathi said the company builds its own speech recognition and generation models, and would eventually like to own the full voice stack, including infrastructure and deployment. For now, though, that remains too costly, so the product works as an orchestration layer, routing tasks to different models depending on the use case. Rishen Kapoor, a principal at Peak XV, said that because Ringg started as a research lab building its own models, that technical depth shows up in the complex use cases it's now tackling. "Because of the technical capabilities, they can actually do these hard-won enterprise workflows end to end. They can complete these higher-value tasks like merchant onboarding, like L1 and L2 support, with quality and with consistency," Kapoor told TechCrunch. Voice AI in India is a crowded field. Model makers including Deepgram, ElevenLabs, Cartesia, and local players like Sarvam and Smallest.ai, are all jockeying for pole position. Orchestration-focused startups like Bolna and Blue Machines are chasing the same layer Ringg occupies, while sector-focused players like Gnani and Arrowhead concentrate heavily on finance. That layered stack - model makers, orchestrators, and application-layer players all trying to lock in enterprise workflows - is itself the story. The money and the defensibility increasingly sit with whoever owns the customer relationship and the outcome. Ringg currently has 40 employees, with more than 15 hired in the last three months. The startup is hiring for forward-deployed engineer roles that combine technical chops with product management skills, along with researchers focused on bringing down the cost of running its models.

Vagle AI
Aug 20th, 2026
Deepgram speech-to-text is now free for all Vagle AI users.

Deepgram speech-to-text is now free for all Vagle AI users. Every Vagle AI account now includes Deepgram streaming speech-to-text at no additional cost. No separate Deepgram API key or billing is required. Direct answer. Starting today, Deepgram real-time speech-to-text is included at no additional cost for every Vagle AI user. You do not need your own Deepgram API key, and there is no separate per-minute Deepgram charge on your account. This applies to both browser web calls and phone calls made through the platform. Vagle covers the Deepgram transcription cost as part of its calling infrastructure, backed by a Deepgram investment in the platform. What changed. Previously, real-time transcription providers were billed as a separate cost component on each connected call minute. Users needed to understand which STT provider was selected and what it cost. Now, Deepgram streaming transcription is bundled into the platform. Users selecting Deepgram as their transcriber see no extra line item - the cost is absorbed by Vagle. What you get. * Real-time streaming speech-to-text on every call * Low-latency interim and final transcripts * Support for English and multiple languages * Automatic voice activity detection (VAD) * Works on browser web calls and telephony (Twilio, Plivo, VoBiz) * No separate Deepgram API key needed * No per-minute Deepgram billing on your account How to use it. When you create or edit an assistant in Vagle, select Deepgram as the transcriber. That is all - there is no API key to paste and no billing toggle to enable. If you already use Deepgram as your transcriber, nothing changes in your workflow. The cost simply disappears from your usage breakdown. Why this is possible. Deepgram has invested in Vagle AI, which includes infrastructure credits that allow the platform to offer their transcription at no additional user cost. This is a direct result of that backing. As long as the investment credits cover usage, Deepgram STT remains free for users. If this changes in the future, users will be notified in advance. Does this affect other providers. No. If you prefer a different transcriber (Groq Whisper, Speechmatics, or another supported option), those remain available with their standard pricing. Deepgram is the one that is now included at no extra cost. Limits and fair use. There is no hard per-minute cap announced today. Standard platform fair-use policies apply. Extremely high-volume usage that exceeds what the investment credits cover may be subject to future adjustments, with advance notice. Faq. Do I need a Deepgram API key to use this? Is Deepgram STT really free on Vagle? Does this work for phone calls too? Can I still use other transcribers? Will this remain free forever? Official provider resources. Related resources. Tell Vagle your use case, call volume, tools, and follow-up needs. Vagle will help you choose a practical setup.

AiThority
Aug 18th, 2026
Voice AI infrastructure leader Deepgram to establish APAC headquarters in Singapore following strategic investment from EDBI.

Voice AI infrastructure leader Deepgram to establish APAC headquarters in Singapore following strategic investment from EDBI. Deepgram to deepen support across APAC, where it serves customers in more than 20 markets; names former Salesforce leader Sriram Ved to lead the region. Aug 18, 2026 Prev Next 1 of 43,493 Deepgram, the real-time AI infrastructure company underpinning the Voice AI economy, announced plans to establish its Asia-Pacific headquarters in Singapore, deepening its commitment to a region where the company is already seeing strong demand for production-grade Voice AI. Deepgram has appointed Sriram Ved as Vice President and General Manager for APAC who will lead the company's regional strategy and oversee its customer, partner, and go-to-market expansion. Deepgram saw a 96% year-over-year increase in API requests across APAC and serves customers across more than 20 markets in the region, including Australia, China, Hong Kong, India, Indonesia, Japan, Singapore, South Korea, Thailand, and Vietnam. From Singapore, the company plans to bring regional leadership, customer support, partnerships, and commercial operations closer to customers across the region, build on its existing speech-to-text expertise and support across Asian languages, and expand its low-latency inference footprint. The move follows a strategic investment from EDBI, an arm of SG Growth Capital, the investment platform of EDB and Enterprise Singapore, as part of an extension to Deepgram's US$130 million Series C funding. EDBI will also support Deepgram as it establishes a presence in Singapore and builds commercial relationships and regional operations across APAC. Companies are moving Voice AI into high-volume, customer-facing operations spanning contact centers, financial services, healthcare, telecommunications, and commerce in APAC. As deployments scale, enterprises need infrastructure that can perform reliably across languages, accents, and noisy environments while meeting strict requirements for latency, cost, privacy, and data control. Deepgram plans to deepen its regional investment in three core areas: * Customer and partner support: Expand its regional leadership, customer support, partnerships, and commercial operations, bringing these teams and capabilities closer to customers across APAC. * Asian-language capabilities: Build on Deepgram's existing speech-to-text support for all four of Singapore's official languages: English, Mandarin Chinese, Malay, and Tamil, while deepening its expertise in Asian languages, accents, and speech patterns, including multilingual interactions, code-switching, and specialized terminology. Deepgram's broader speech-to-text portfolio currently supports Japanese, Hindi, Thai, Cantonese, and several Indic languages and regional variants. * Low-latency, flexible deployment: Work toward a broader low-latency inference footprint across APAC while continuing to offer cloud, virtual private cloud, self-hosted, and on-premises deployments that help enterprises meet regional requirements around privacy, data control, and data residency. "APAC is one of the most promising markets for Voice AI right now," said Scott Stephenson, CEO and co-founder of Deepgram. "You have huge demand, incredible linguistic diversity, and companies moving quickly from experimenting with AI to putting it into production. Singapore puts us closer to the customers and partners building that future, and gives us a strong base to help make Voice AI work across the complexity of the region." "Voice AI is already live in production across APAC, from contact centers and financial services to healthcare and telecommunications," said Sriram Ved, Vice President and General Manager for APAC at Deepgram. "We're also seeing a new generation of AI companies building for the region and turning to Deepgram for the voice infrastructure underneath their products. They need technology that works where real conversations happen: across noise, accents, languages, and massive volumes, without sacrificing speed or reliability. That's what Deepgram was built to do." EDBI invests in global companies that drive the development of innovative solutions, create good jobs, and contribute to Singapore's long-term economic resilience. Its investment in Deepgram reflects a shared ambition to build advanced AI capabilities from Singapore while supporting the company's growth across APAC. "Voice AI is becoming critical infrastructure for enterprises across Asia. The companies developing these technologies need to be close to the markets, languages, and deployment realities they serve. Deepgram's decision to anchor its APAC headquarters here reflects a long-term commitment to building from Singapore. At EDBI, we partner with companies like Deepgram to establish and scale meaningful capabilities here, and we look forward to its continued contribution to Singapore's AI ecosystem," said Yeung Chia Li, Senior Partner at EDBI. Globally, Deepgram powers more than 200,000 developers and 1,400 organizations. Its platform has processed more than 50,000 years of audio and transcribed more than one trillion words.

Creative Bharat
Aug 18th, 2026
Voice AI infrastructure leader Deepgram to establish APAC headquarters in Singapore following strategic investment from EDBI.

Voice AI infrastructure leader Deepgram to establish APAC headquarters in Singapore following strategic investment from EDBI. * admin@cb26 * August 18, 2026 * 0 Comments * 41 Views Business Wire India Deepgram, the real-time AI infrastructure company underpinning the Voice AI economy, announced plans to establish its Asia-Pacific headquarters in Singapore, deepening its commitment to a region where the company is already seeing strong demand for production-grade Voice AI. Deepgram has appointed Sriram Ved as Vice President and General Manager for APAC who will lead the company's regional strategy and oversee its customer, partner, and go-to-market expansion. Deepgram saw a 96% year-over-year increase in API requests across APAC and today serves customers across more than 20 markets in the region, including Australia, China, Hong Kong, India, Indonesia, Japan, Singapore, South Korea, Thailand, and Vietnam. From Singapore, the company plans to bring regional leadership, customer support, partnerships, and commercial operations closer to customers across the region, build on its existing speech-to-text expertise and support across Asian languages, and expand its low-latency inference footprint. The move follows a strategic investment from EDBI, an arm of SG Growth Capital, the investment platform of EDB and Enterprise Singapore, as part of an extension to Deepgram's US$130 million Series C funding. EDBI will also support Deepgram as it establishes a presence in Singapore and builds commercial relationships and regional operations across APAC. Companies are moving Voice AI into high-volume, customer-facing operations spanning contact centers, financial services, healthcare, telecommunications, and commerce in APAC. As deployments scale, enterprises need infrastructure that can perform reliably across languages, accents, and noisy environments while meeting strict requirements for latency, cost, privacy, and data control. Deepgram plans to deepen its regional investment in three core areas: * Customer and partner support: Expand its regional leadership, customer support, partnerships, and commercial operations, bringing these teams and capabilities closer to customers across APAC. * Asian-language capabilities: Build on Deepgram's existing speech-to-text support for all four of Singapore's official languages: English, Mandarin Chinese, Malay, and Tamil, while deepening its expertise in Asian languages, accents, and speech patterns, including multilingual interactions, code-switching, and specialized terminology. Deepgram's broader speech-to-text portfolio currently supports Japanese, Hindi, Thai, Cantonese, and several Indic languages and regional variants. * Low-latency, flexible deployment: Work toward a broader low-latency inference footprint across APAC while continuing to offer cloud, virtual private cloud, self-hosted, and on-premises deployments that help enterprises meet regional requirements around privacy, data control, and data residency. "APAC is one of the most promising markets for Voice AI right now," said Scott Stephenson, CEO and co-founder of Deepgram. "You have huge demand, incredible linguistic diversity, and companies moving quickly from experimenting with AI to putting it into production. Singapore puts us closer to the customers and partners building that future, and gives us a strong base to help make Voice AI work across the complexity of the region." "Voice AI is already live in production across APAC, from contact centers and financial services to healthcare and telecommunications," said Sriram Ved, Vice President and General Manager for APAC at Deepgram. "We're also seeing a new generation of AI companies building for the region and turning to Deepgram for the voice infrastructure underneath their products. They need technology that works where real conversations happen: across noise, accents, languages, and massive volumes, without sacrificing speed or reliability. That's what Deepgram was built to do." EDBI invests in global companies that drive the development of innovative solutions, create good jobs, and contribute to Singapore's long-term economic resilience. Its investment in Deepgram reflects a shared ambition to build advanced AI capabilities from Singapore while supporting the company's growth across APAC. "Voice AI is becoming critical infrastructure for enterprises across Asia. The companies developing these technologies need to be close to the markets, languages, and deployment realities they serve. Deepgram's decision to anchor its APAC headquarters here reflects a long-term commitment to building from Singapore. At EDBI, we partner with companies like Deepgram to establish and scale meaningful capabilities here, and we look forward to its continued contribution to Singapore's AI ecosystem," said Yeung Chia Li, Senior Partner at EDBI. Globally, Deepgram powers more than 200,000 developers and 1,400 organizations. Its platform has processed more than 50,000 years of audio and transcribed more than one trillion words. Deepgram is moving forward with plans to open its Singapore office as part of its long-term investment in the region. Learn more at deepgram.com. About Deepgram Deepgram is the real-time AI infrastructure company underpinning the Voice AI economy. Today, more than 200,000 developers and 1,400 organizations are Powered by Deepgram. Its Voice AI platform offers speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities, all powered by an enterprise-grade runtime. Deepgram's voice-native foundation models, accessed through cloud APIs or as self-hosted/on-premises APIs, deliver unmatched accuracy, low latency, and competitive pricing. Customers include technology ISVs building voice products or platforms, co-sell partners working with large enterprises, and enterprises solving internal use cases. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram. To learn more, please visit www.deepgram.com, read its developer docs, or follow @DeepgramAI on X and LinkedIn.