Deepgram vs digithings

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Deepgram compared with digithings
Detail	Deepgram	digithings
What it does	Enterprise Voice AI platform for Speech-to-Text, Text-to-Speech, and Voice Agents	Open-source AI infrastructure you self-host on your own hardware with your own keys
Stage	Established	Not given
Founded	2015	Not given
Based in	US	Not given
Pricing model	Freemium	Open source
Pricing	Flux STT Streaming: $0.0065/min (Pay As You Go), $0.0057/min (Growth); Flux Multilingual Streaming: $0.0078/min (Pay As You Go), $0.0068/min (Growth); Nova-3 Monolingual Streaming: $0.0048/min (Pay As You Go), $0.0042/min (Growth); Nova-3 Multilingual Streaming: $0.0058/min (Pay As You Go), $0.0050/	Self-host: $0 (open source, MIT-licensed). Service and Enterprise tiers available on contact for integration and custom development work.
Key features	Flux STT with turn detection and interruption handling Nova-3 multilingual speech recognition in 50+ languages Ultra-low latency under 300 milliseconds Keyterm prompting with up to 90% higher keyword recall Flux TTS with latency as low as 80ms Speaker diarization and multi-speaker audio detection Smart formatting with automatic punctuation and capitalization Automatic redaction of sensitive information Custom models for edge-case scenarios Flexible deployment options: cloud, in-VPC, or self-hosted	Provider routing with LiteLLM
What makes it different	Conversation-aware speech platform with native turn-taking detection and interruption handling Unified single API combining STT, TTS, and LLM orchestration to reduce complexity and latency Flux TTS that thinks before speaking to maintain tone and expression across conversations Enterprise-grade accuracy with custom vocabulary injection and industry-tuned models Foundational AI company with research-driven innovation and continuous model improvements	Complete ownership: your keys, hardware, data and audit logs stay under your control No vendor lock-in: compose individual modules with your existing stack rather than replacing it Full transparency: MIT-licensed, publicly developed on GitHub with open issues, PRs and commit history Every request traceable: one ID threads through all services with full audit logging
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	81 no change since last check	5 −4 (down) since last check
Trust Flow (Majestic)	23	0
Citation Flow (Majestic)	51	13
Referring domains (Majestic)	7761	1

5 details filled in for both companies.

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