Pricing change detected for Deepgram
Pricing updated for Deepgram: - Pay-As-You-Go: promotion changed — Free $200 Credit - New tier: Custom (Custom pricing) - Removed: Growth tier
Deepgram
169 tracked updates · 2026
47 feature updates·14 new integrations·8 product launches·7 content pieces·6 FEATURE UPDATE·3 case studies·2 pricing updates·2 events
Pricing updated for Deepgram: - Pay-As-You-Go: promotion changed — Free $200 Credit - New tier: Custom (Custom pricing) - Removed: Growth tier
Deepgram launched a Voice Agent API that integrates NVIDIA Nemotron models (Nemotron 3 Nano and Super) to enable sub-700ms end-to-end latency for voice agents deployed in customer VPCs, on-prem, or hy…
Deepgram introduced self-hosted deployment options for its voice AI services, targeting use cases with strict performance or security requirements. The offering requires an Enterprise Plan, direct lic…
Pricing updated for Deepgram: - Pay-As-You-Go: promotion changed — $200 free credit then pay-as-you-go - New tier: Growth ($4000/yr ($333.33/mo annually, ~12.5% off)) - Removed: Enterprise tier
Deepgram’s analysis finds no peer-reviewed studies validating vendor claims of 30–50% appointment booking lifts from AI voice agents in healthcare. Most evidence comes from vendor case studies with sh…
Deepgram introduced multilingual code-switching capabilities in its speech-to-text API to handle Hinglish, a blend of Hindi and English spoken by 600M+ Indians. The feature detects language shifts wit…
Deepgram argues that Word Error Rate (WER) systematically overstates errors for Indian languages due to morphological agglutination, script diversity, and code-switching. They propose the BRIDGE 7-met…
Deepgram released a detailed checklist for evaluating voice AI agents in healthcare, emphasizing the intersection of HIPAA compliance and transcription accuracy. The guide highlights medical-specific …
Code-switching in speech can cause ASR error rates to spike up to 11x higher, with monolingual systems failing at language boundaries. Unified multilingual models and specialized metrics like PIER are…
Deepgram introduced the managed Google Gemini 3.5 Flash model in its Voice Agent API, replacing the older Gemini 2.5 Flash family. The new model improves performance and efficiency, while the 2.5 Flas…
Deepgram expanded profanity filtering to all multilingual models (Nova-2, Nova-3, Flux) via the profanity_filter=true API parameter, replacing inappropriate language with asterisks. It also fixed miss…
Deepgram introduced the managed Google LLM model `gemini-3.1-flash-lite` in its Voice Agent API, replacing the preview version. The deprecated `gemini-3.1-flash-lite-preview` will be removed on May 26…
Call center compliance in 2026 will require managing four regulatory layers: federal (TCPA, HIPAA, PCI DSS 4.0), state AI disclosure laws (Utah, California, Texas), international rules (GDPR, EU AI Ac…
Deepgram highlights a critical gap where playground TTS demos mask pronunciation failures that emerge in production, particularly with raw user inputs like numbers, proper nouns, and domain terms. The…
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