Every call, understood the moment it ends.
Dovell turns enterprise voice conversations into transcripts, sentiment, summaries, and searchable insight, in real time and inside your security boundary.
Voice is your richest data and your hardest to use
Teams record thousands of hours of calls, then lack the time to listen. These are the gaps Dovell closes.
Slow transcripts in noisy calls
CPU-bound speech-to-text lags on long, multi-speaker audio and misses domain jargon.
Blurred speaker attribution
Without clean diarization, transcripts mix up speakers and sentiment scores lose meaning.
Archives nobody can search
Flat WAV and MP3 files mean compliance and quality teams listen by hand to find one moment.
Privacy risk in voice data
Enterprise calls need strict boundaries, private hosting, and PII removal before anyone reviews them.
One workspace for everything your calls contain
From the first word of audio to the answer your team needs, Dovell handles each step.
Real-time transcription
GPU-accelerated speech recognition turns live calls and uploaded recordings into text with low delay, even with accents and background noise.
Speaker diarization
See who spoke and when. Overlapping speech is separated so every line, and every sentiment score, is credited to the right person.
Sentiment and topics
Track how a conversation shifts, tag the issues raised, and spot patterns across agents, teams, and products.
Summaries and action items
Each call ends with a short summary, clear next steps, and the intent behind it, ready to paste into your CRM.
Ask your audio archive
Search millions of transcript segments in plain language. Find every call where a customer mentioned a cancellation.
Access control and PII redaction
Role-based permissions, private deployment options, and automatic redaction keep sensitive voice data inside your boundary.
From audio stream to answer in five steps
Each stage runs on GPUs and passes its results straight to the next.
Ingest
RTP, WebRTC, WAV, and MP3 streams arrive with their metadata.
Transcribe
Riva converts speech to text and separates speakers.
Analyze
NeMo models tag sentiment, topics, and intent.
Index
cuVS stores transcript embeddings for instant retrieval.
Act
Summaries, alerts, and answers reach your team.
Built on the NVIDIA accelerated computing stack
Six NVIDIA technologies give Dovell low latency and high throughput at enterprise scale.
NVIDIA Riva
Speech AI and diarizationReal-time speech-to-text, speaker diarization, and voice activity detection.
NVIDIA NeMo
Language model tuningAdapts models to industry jargon for sentiment and topic extraction.
NVIDIA TensorRT-LLM
Inference optimizationSpeeds up summarization and conversational reasoning on transcripts.
NVIDIA Triton
Model servingRuns speech, embedding, and LLM models together with dynamic batching.
NVIDIA cuVS
GPU vector searchSub-millisecond semantic retrieval across multi-terabyte archives.
NVIDIA Morpheus
Operational securityInspects audio streams and queries to catch PII leaks in real time.
Train in the cloud. Run next to your data.
Heavy model work happens centrally, while real-time transcription runs inside your own data center.
Cloud engine
NVIDIA H100 / A100- Fine-tune custom acoustic models
- Train domain-specific ASR vocabulary
- Run heavy batch transcript analytics
- Host the Laravel backend and dashboards
Enterprise nodes
NVIDIA L40S / L4- High-concurrency real-time transcription
- Local Riva ASR serving
- Low-latency conversation analytics
- Secure voice serving in your data center
Roadmap
What ships next, in order.
Laravel backend and metadata schema
Relational schema for audio metadata, user permissions, and review workflows.
Riva ASR engine launch
GPU speech-to-text and multi-speaker diarization pipelines go live.
TensorRT-LLM summarization rollout
Real-time conversation summaries and sentiment analysis.
cuVS transcript vector search
Benchmarking sub-second semantic search across multi-million transcript records.
Morpheus security and PII redaction
Real-time stream inspection and automated redaction guardrails.
Questions teams ask first
Where does our audio data live?
Audio sits in secure object storage while metadata and tags stay in a relational database. Enterprise teams can run inference in a private cloud or on-premises.
Can Dovell handle live calls?
Yes. Riva-powered streaming transcription works on WebRTC and phone streams, with speaker separation as the call happens.
Does it learn our industry terms?
NeMo lets us adapt language models and vocabulary to your jargon, so product names and technical phrases are recognized.
How do you protect personal information?
Dovell redacts PII automatically, and Morpheus inspects streams and query payloads for leaks. Access is controlled by roles and enterprise SSO.
How do we try it?
Request a demo. Development dashboards, API endpoints, and demo environments are shared securely through enterprise single sign-on.
Hear what your conversations have been telling you
Book a demo and we will walk through Dovell on your own call types. Access is provided securely through enterprise SSO.