B2B SaaS Provider · vs · B2B SaaS Provider
Deepgram vs smallest.ai
Strukturierter Technologie- und Marktvergleich · Stand 2026
Direkte Merkmalsgegenüberstellung
Deepgram · vs · smallest.aiVoice AI APIs for speech, voice agents and audio intelligence.
B2B-SaaS-Sprach-KI-Infrastruktur für hochperformante, latenzkritische Echtzeit-Sprachanwendungen und dialogorientierte Workflows.
Vergleichsanalyse & Key Insights
Was ist der Hauptunterschied zwischen Deepgram und smallest.ai?
Beim Vergleich von Deepgram und smallest.ai agieren beide Plattformen im Bereich Large Language Models (LLM) & AI, Chat & Conversational UI und B2B SaaS Provider. Deepgram ist positioniert als Voice AI APIs for speech, voice agents and audio intelligence, während smallest.ai den Schwerpunkt auf B2B-SaaS-Sprach-KI-Infrastruktur für hochperformante, latenzkritische Echtzeit-Sprachanwendungen und dialogorientierte Workflows legt. Beide Anbieter stellen komplementäre wie auch konkurrierende Kernfähigkeiten für den Markt bereit.
Welche Alternativen gibt es zu Deepgram und smallest.ai?
Bei der Evaluierung von Deepgram und smallest.ai prüfen Enterprise-Entscheider häufig auch weitere Plattformen im Bereich Large Language Models (LLM) & AI, 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 smallest.ai
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.
smallest.ai
Letzte Aktivitäten
- ·CMSWireAI
Smallest.ai Lands $13M Series A for Voice AI
Smallest.ai, a voice AI startup founded in 2023, announced a $13 million Series A funding round on July 31, 2026, led by Seligman Ventures with participation from Sierra Ventures and 3one4 Capital. Additional backers included Better Capital, Upsparks Capital, Schema Ventures, Tiny VC, DeVC and Mission Street Capital. Total funding now exceeds $21 million. The capital will advance a real-time speech-to-speech system designed to reduce latency in enterprise voice interactions, targeting financial services, healthcare and contact centers. The round followed the launch of Lightning V3, V3.1 and V3.2, adding 15-language support, production voice cloning from five seconds of audio, and instruction-following controls. The company highlighted its Hydra asynchronous architecture, which processes listening, reasoning, acting and responding in parallel. Smallest.ai also referenced a May hardware partnership with Tenstorrent for cost-efficient inference.
- Smallest.ai raised $13M in Series A funding led by Seligman Ventures.
- Total funding surpassed $21 million after the round closed on July 30, 2026.
- The round included Sierra Ventures, 3one4 Capital, Better Capital, Upsparks Capital, Schema Ventures, Tiny VC, DeVC and Mission Street Capital.
- ·techcrunchConversational AI & Chatbots
Smallest.ai raises $13M for humanlike voice AI
Smallest.ai, a startup founded in late 2024, raised $13 million in a Series A round to develop a small, voice-specific AI model intended for real-time conversational agents that sound human. The round was led by Seligman Ventures with participation from Sierra Ventures and 3one4 Capital, bringing total funding to over $21 million. Smallest.ai's approach uses a lightweight real-time voice model for immediate interaction and falls back to larger foundational LLMs when needed. The company targets enterprise customer support use cases—handling accents, multiple languages, and noisy environments—and counts RingCentral and Truecaller among existing customers. Competitors named include ElevenLabs, Cartesia and regional player Sarvam. Sudarshan Kamath is founder and CEO.
- Smallest.ai raised $13 million in a Series A round led by Seligman Ventures.
- Series A participants include Sierra Ventures and 3one4 Capital.
- The funding brings Smallest.ai's total financing to over $21 million.
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