Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.•Value Engineering Partner for AI, Data & Modernization•Engineered, Operated and owned within explicit controlled boundaries•
Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.•Value Engineering Partner for AI, Data & Modernization•Engineered, Operated and owned within explicit controlled boundaries•
Muoro secures a $3.2M grant from Brownfield to expand Global Capability Centers and Centres of Excellence in tier-II cities, North India.•Value Engineering Partner for AI, Data & Modernization•Engineered, Operated and owned within explicit controlled boundaries•
SalesTech On-Device Whisper Transcription
See how Muoro optimized Whisper for private, on-device transcription, achieving sub-300ms latency, 60% smaller models, and real-time speech recognition without the cloud.
Business Outcomes
Business Outcomes
<300ms
Latency, GPU-free on laptop
-60%+
Model size reduction via distillation
~3–5%
Accuracy loss, recovered via domain tuning1,000s
Live sales calls per week, in productionAbout Client
The client operates a B2B sales-technology platform offering a desktop co-pilot for live sales conversations. Full call privacy was a hard requirement, meaning transcription and action-item extraction needed to run entirely on the user's laptop rather than in the cloud.Platform Engineering
The Challenge
Whisper was too heavy for CPU use, with 1–3 second delays.
The Challenge
Whisper was too heavy for CPU use, with 1–3 second delays.
Compression Trade-offs
Naive compression dropped accuracy on sales-specific jargon.Noisy Real Calls
Long meetings brought noise, echo, and overlapping speech.Strict Privacy
The privacy requirement meant nothing could leave the device.Compression Trade-offs
Naive compression dropped accuracy on sales-specific jargon.Noisy Real Calls
Long meetings brought noise, echo, and overlapping speech.Strict Privacy
The privacy requirement meant nothing could leave the device.Compression Trade-offs
Naive compression dropped accuracy on sales-specific jargon.Noisy Real Calls
Long meetings brought noise, echo, and overlapping speech.Strict Privacy
The privacy requirement meant nothing could leave the device.Compression Trade-offs
Naive compression dropped accuracy on sales-specific jargon.Noisy Real Calls
Long meetings brought noise, echo, and overlapping speech.Strict Privacy
The privacy requirement meant nothing could leave the device.The Muoro Solution
A large Whisper teacher model was distilled into a compact student model.
The Muoro Solution
A large Whisper teacher model was distilled into a compact student model.
Knowledge Distillation
A large Whisper teacher model was distilled into a compact student model.Domain Fine-Tuning
The student model was fine-tuned on sales accents and vocabulary.Selective Quantisation
8-bit quantisation was applied selectively, preserving critical layers.Whisper
|Knowledge Distillation
|8-bit Quantisation
|VAD Streaming
|macOS
|Win
|Linux
Impact & Results
Model size was reduced by over 60%, enabling GPU-free inference.
Impact & Results
Model size was reduced by over 60%, enabling GPU-free inference.
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Sub-300ms Latency
Latency dropped below 300ms, feeling genuinely real-time.Accuracy Recovered
The 3–5% accuracy loss from compression was recovered via domain tuning.Thousands of Calls Weekly
The system now powers thousands of live sales calls every week.Sub-300ms Latency
Latency dropped below 300ms, feeling genuinely real-time.Accuracy Recovered
The 3–5% accuracy loss from compression was recovered via domain tuning.Thousands of Calls Weekly
The system now powers thousands of live sales calls every week.Sub-300ms Latency
Latency dropped below 300ms, feeling genuinely real-time.Accuracy Recovered
The 3–5% accuracy loss from compression was recovered via domain tuning.Thousands of Calls Weekly
The system now powers thousands of live sales calls every week.Final Outcome
Real-time, on-device sales transcription. Under 300ms latency. No cloud. No data egress.
Final Outcome
Real-time, on-device sales transcription. Under 300ms latency. No cloud. No data egress.
Deploy AI that runs where your users do
Build lightweight AI models that run entirely on-device for lower latency, stronger privacy, and reliable performance without cloud infrastructure.
Deploy AI that runs where your users do
Build lightweight AI models that run entirely on-device for lower latency, stronger privacy, and reliable performance without cloud infrastructure.
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