B2B SaaS Provider · vs · B2B SaaS Provider
Deepgram vs Dialpad
Strukturierter Technologie- und Marktvergleich · Stand 2026
Direkte Merkmalsgegenüberstellung
Deepgram · vs · DialpadVoice AI APIs for speech, voice agents and audio intelligence.
Cloud-Kommunikation und Contact-Center-Software mit integrierter Enterprise-KI.
Vergleichsanalyse & Key Insights
Was ist der Hauptunterschied zwischen Deepgram und Dialpad?
Beim Vergleich von Deepgram und Dialpad agieren beide Plattformen im Bereich Conversational AI & Chatbots, Chat & Conversational UI und B2B SaaS Provider. Deepgram ist positioniert als Voice AI APIs for speech, voice agents and audio intelligence, während Dialpad den Schwerpunkt auf Cloud-Kommunikation und Contact-Center-Software mit integrierter Enterprise-KI legt. Beide Anbieter stellen komplementäre wie auch konkurrierende Kernfähigkeiten für den Markt bereit.
Welche Alternativen gibt es zu Deepgram und Dialpad?
Bei der Evaluierung von Deepgram und Dialpad prüfen Enterprise-Entscheider häufig auch weitere Plattformen im Bereich Conversational AI & Chatbots, Chat & Conversational UI und B2B SaaS Provider. Die erweiterte Wettbewerbslandschaft und detaillierte Marktprofile findest du direkt auf Polaris7.
Echtzeit-Beobachtung
Aktuelle Marktsignale & News: Deepgram vs Dialpad
Öffentlich erfasste Marktbewegungen, Partnerschaften, Produkt-Updates und strategische Ankündigungen aus dem Knowledge-Graphen.
Deepgram
Letzte Aktivitäten
- ·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.
- ·DEV CommunityConversational AI & Chatbots
Voice AI Assistant for Indian Farmers Built in 10 Days
A developer built "Farm & Field," a voice AI assistant for Indian farmers during the 10 Days of Voice Agents — VoiceForBharat Edition by Murf AI. The system integrates Speech-to-Text, an LLM, Text-to-Speech, and real-time transport (Deepgram, Google Gemini, Murf Falcon, LiveKit) with SQLite-backed memory, weather and market-price tools, human escalation, a specialist crop agent, outbound calling via LiveKit SIP, and call analytics. The agent supports Malayalam, English, and Manglish, requests consent before storing memory, and hands off to humans or specialists when appropriate. The project code is available on GitHub.
- Author built Farm & Field during the 10 Days of Voice Agents — VoiceForBharat Edition by Murf AI.
- Core stack: Deepgram (STT), Google (Gemini) for LLM, Murf Falcon (TTS), and LiveKit (real-time transport).
- Features include multilingual Malayalam/English/Manglish support, memory-with-consent, weather and market-price tools, human escalation, and a Crop Problem Specialist agent.
Dialpad
Letzte Aktivitäten
- ·Dialpad
What's new at Dialpad: September 2026
- ·https://martechseries.com/feed/Conversational AI
Dialpad and Glean Announce Integration for Conversation Insights
Dialpad announced a new integration with enterprise AI company Glean that brings Dialpad’s conversational intelligence (voice and text, AI and human) into Glean’s enterprise knowledge platform. Dialpad has joined the Glean Partner Network and will demo the integration at Glean:GO 2026. The integration is intended to make customer conversations discoverable and actionable alongside documents, systems and workflows, enabling in-call assistance, richer context for sales and service, improved QA and faster post-call follow-up.
- Dialpad announced a new integration with enterprise AI company Glean to connect conversational intelligence with enterprise knowledge.
- Dialpad joined the newly launched Glean Partner Network.
- The integration will be demoed at Glean:GO 2026.
- ·Dialpad
July 2026 Product Roundup
Dialpad's July 2026 release includes real-time voicemail reports, live call volume tracking, repeated admin alerts, calendar event deletion in WFM, new CTI call bar, AthenaHealth integration, custom Professional Services integrations, Salesforce verification, Bullhorn admin controls, reduced Salesforce API usage, license pools, company-level credit pooling, enhanced credits page, credits analytics, multi-screen sharing, dual-screen meeting rooms, Picture-in-Picture, and more.
Exakte Ökosystem-Überschneidungen vergleichen
Erkunde alle tiefen Marktbeziehungen in Polaris7. Entdecke gemeinsame Kunden, integrierte Technologien, SDK-Schnittstellen und überlappende Partner von Deepgram und Dialpad im Markt-Ökosystem.
