B2B SaaS Provider
Deepgram vs RingCentral
Structured technology and market comparison · 2026
Direct Feature Comparison
Deepgram · vs · RingCentralVoice AI APIs for speech, voice agents and audio intelligence.
Cloud communications and contact centre software for businesses.
Analyze all overlapping signals and tech stacks for Deepgram and RingCentral
Compare mutual enterprise clients, monetization models, live market signals, and partner networks directly in the interactive Knowledge Graph.
Comparison Analysis
What is the main difference between Deepgram and RingCentral?
When comparing Deepgram and RingCentral, both platforms operate within the Conversational AI & Chatbots, Chat & Conversational UI, and B2B SaaS Provider ecosystem. Deepgram is positioned as Voice AI APIs for speech, voice agents and audio intelligence, whereas RingCentral focuses on Cloud communications and contact centre software for businesses. Decision-makers evaluate both solutions when orchestrating their commercial monetization and technology stack.
What are the top alternatives to Deepgram and RingCentral?
When evaluating Deepgram and RingCentral, enterprise buyers also consider other platforms in Conversational AI & Chatbots, Chat & Conversational UI, and B2B SaaS Provider. You can discover the full competitive landscape and evaluate other alternatives by viewing their respective footprint profiles on Polaris7.
How do the corporate scale, structure, and headquarters of Deepgram and RingCentral compare?
Deepgram is headquartered in United States (founded in 2015) with 201–500 employees. RingCentral is based in United States (founding year unrecorded) with >5,000 employees. Complete ownership, subsidiary trees, and corporate affiliations are documented across Polaris7.
Market Signals
Recent Market Signals & Activity: Deepgram vs RingCentral
Documented market movements, strategic partnerships, product releases, and regulatory developments mapped across Polaris7.
Deepgram
Recent Signals
- ·techcrunchM&A
Deepgram acquires Daily to bolster voice AI infrastructure
Deepgram, a leading provider of speech-to-text and voice AI models, has announced the acquisition of Daily, the company behind the popular open-source voice AI framework Pipecat. The financial terms of the deal were not disclosed, but Deepgram has committed to keeping Pipecat open source. Pipecat manages voice and video streams, integrating STT, LLMs, and TTS while reducing latency. Deepgram aims to leverage Pipecat to enhance its real-time voice and video infrastructure, allowing developers to build expressive voice agents with pluggable models. Additionally, Deepgram is launching the Real-Time Context Standard (RCS), an open protocol co-developed with the Pipecat team, to standardize metadata in voice AI interactions. Daily had raised over $62 million from investors like Tiger Global and has been part of Y Combinator, like Deepgram.
- Deepgram acquires Daily, maker of open-source voice AI framework Pipecat
- Deal amount undisclosed; Pipecat remains open source
- Daily had raised over $62 million from Tiger Global and others
- ·DEV CommunityConversational AI & Chatbots
Developer Builds Multilingual AI Voice Agent 'Sadie'
A developer, Ayush Shinde, built Sadie — a multilingual AI voice agent — during the "10 Days of AI Voice Agents — #VoiceForBharat Edition" challenge. Over ten days he implemented real-time voice conversations, Hindi-English code-mixing support, persistent (permissioned) memory, tool integration, outbound phone calling via SIP, human escalation via Discord webhooks, an analytics dashboard, and multi-agent specialist handoffs (grammar, maths, full-stack). The system integrates LiveKit for real-time transport, Deepgram for STT, Google Gemini as the LLM brain, and Murf Falcon for TTS, with SQLite for memory and Next.js/Chart.js for analytics. The post documents architecture, implementation details, encountered bugs (telephony SIP encryption, logging issues, import paths), and instructions to run the public repository and demo.
- Ayush Shinde built an AI voice agent named Sadie during the "10 Days of AI Voice Agents — #VoiceForBharat Edition" challenge.
- Sadie supports real-time voice, Hindi-English code-mixed conversations, permissioned persistent memory (SQLite), external tool integration, outbound phone calls, human escalation, analytics, and specialist agent handoffs.
- Core technical stack includes LiveKit (real-time audio), Deepgram (Speech-to-Text), Google Gemini (LLM), Murf Falcon (TTS), SQLite, Next.js, and Chart.js.
- ·DEV CommunityConversational AI & Chatbots
10-Day AI Voice Agent Stops Scam Calls
A developer built 'Suraksha Saathi', an AI voice agent prototype to help families detect and respond to scam calls in 10 days. The agent uses Deepgram for speech recognition, a Google Gemini model for reasoning, Murf AI's Falcon TTS for fast speech output, and LiveKit for real-time connectivity. Features include Hindi support via Devanagari-only output, a consent-based memory to remember callers, a panic button that alerts a human fraud team via Discord, real-time scam tracking dashboard, and mid-call voice-engine handoffs to escalate to an investigator persona. The author published the post on DEV and shared source code on GitHub.
- Author built an AI voice agent named Suraksha Saathi in 10 days.
- Architecture: Deepgram (ASR) → Google Gemini (LLM) → Murf AI Falcon (TTS) → LiveKit (real-time audio).
- Agent enforces Hindi output in Devanagari, implements consent-based memory, and a panic button that notifies a human fraud team via Discord.
RingCentral
Recent Signals
- ·https://martechseries.com/feed/AI
RingCentral Adds AI Workforce Management to RingCX
RingCentral, a leader in AI-powered customer engagement, has announced new AI capabilities for its RingCX platform. These features enable contact centers to manage AI and human agents as a single workforce, offering live supervision, quality scoring, journey analytics, and staffing forecasts from one dashboard. The update extends these management capabilities to AI agents, including RingCentral AI Receptionist (AIR) and AIR Pro. Additionally, RingCX is now available on mobile devices and within Microsoft Teams, and a new AI Onboarding feature uses natural language to automate contact center configuration. These enhancements aim to improve first contact resolution, reduce handle time, and lower service costs, positioning RingCentral to address the growing integration of AI agents in customer service operations.
- RingCentral launched new AI capabilities for RingCX, allowing unified management of AI and human agents in contact centers.
- New features include live supervision, quality scoring, journey analytics, and staffing forecasts for AI agents.
- RingCX is now available on mobile and within Microsoft Teams.
- ·https://martechseries.com/feed/AI
Golden State Warriors Select RingCentral as Agentic AI Voice Platform
RingCentral, Inc., a leader in AI-powered customer engagement, and the Golden State Warriors have expanded their decade-long partnership, naming RingCentral the team's official Agentic AI Powered Voice platform for fan engagement. The collaboration aims to elevate the fan experience, from ticket inquiries to game-day questions. RingCentral's Agentic Voice AI will enable new ways for fans to connect with the team. The Warriors have grown significantly over the past decade, from a single office to multiple locations, and RingCentral has supported their connectivity needs, including during the remote work transition in March 2020. Executives from both organizations highlighted the partnership's role in enhancing fan engagement and supporting the Warriors' growth.
- RingCentral and Golden State Warriors expand their decade-long partnership.
- RingCentral named official Agentic AI Powered Voice platform for fan engagement.
- Goal to elevate fan experience, from ticket inquiries to game-day questions.
- ·SEC APIfinancials
8-K Financial Filing Analysis for RingCentral (2026-10-22)
RingCentral, Inc. filed a Form 8-K under Item 2.02 to announce the issuance of a press release on October 22, 2026, reporting its financial results for the third quarter ended September 30, 2026. The filing serves as the formal furnishing of Exhibit 99.1 containing the full earnings release to the Securities and Exchange Commission, signed by Chief Financial Officer Vaibhav Agarwal. In accordance with standard Item 2.02 reporting conventions, the detailed financial figures are furnished rather than filed under Section 18 of the Securities Exchange Act of 1934.
- RingCentral issued a press release on October 22, 2026, disclosing quarterly financial results for the period ended September 30, 2026.
- The 8-K is furnished under Item 2.02 (Results of Operations and Financial Condition) and accompanied by Exhibit 99.1.
- The filing was authorized and signed by Chief Financial Officer Vaibhav Agarwal on October 22, 2026.
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