Enterprise Speech & Audio Intelligence

Operationalize
Your Audio.

Turn Voice Data into a Digital Asset.

Move beyond basic transcription. We engineer enterprise-grade Speech ML solutions that integrate legacy telephony with modern Neural Networks to drive a confirmed 331% ROI.

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The New Digital Core

"70% of corporate leaders expect AI to be the primary driver of new value by 2026. Yet, the most valuable data—human conversation and acoustic environment—remains trapped in unstructured audio files and legacy PBX systems.

Prism Infoways bridges the gap between 'Innovation Lab' curiosity and mission-critical deployment. We don't just implement ASR; we orchestrate Total Enterprise Reinvention, transforming sound into operational intelligence, compliance safety, and revenue growth."

Engineered for Impact

🧠

Intelligent Contact Center (CCAI)

Real-time "Agent Assist" and autonomous voice bots that reduce Cost-to-Serve by up to 35% while increasing CSAT.

🏭

Industrial Acoustic Monitoring

Edge-based "Machine Hearing" that detects equipment anomalies via vibration/sound frequency before failure occurs.

🔌

Legacy Telephony Integration

Bridging 30-year-old SIP/RTP protocols with modern gRPC cloud pipelines. Low-latency bridging for Avaya/Cisco.

🩺

Ambient Clinical Intelligence

Automated SOAP note generation for healthcare, utilizing medical-specific LLMs to reduce physician burnout.

🛡️

Trust & Voice Security

Anti-spoofing, Liveness Detection, and PII redaction to secure voice channels against Deepfakes and fraud.

🎛️

Custom Model Fine-Tuning

Overcoming the "Accent Gap" and domain jargon by training custom acoustic models on your specific user demographics.

IMPACT ANALYSIS

Why We Engineer.

We deliver hard engineering metrics, not just promises. Precision, Speed, Safety, and Efficiency are our KPIs.

01.

Economic Velocity

60-90 Days

The typical break-even point for our Voice AI deployments, significantly faster than traditional ERP implementations.

02.

Operational Efficiency

45% Reduction

In labor and operational overhead through autonomous call deflection and automated QA scoring.

03.

Compliance Confidence

100% Audit

Shift from sampling 1% of calls to analyzing 100% of interactions for regulatory compliance and script adherence.

04.

Revenue Generation

62% Lift

In client acquisition rates by deploying always-on, omnichannel voice agents that eliminate hold times.

Deployment Lifecycle

01

Strategic Discovery

We assess data maturity and model the financial business case using our proprietary ROI framework.

02

Data Foundation & Engineering

Ingestion of SIP trunks, cleaning of noisy audio, and rigorous "Speaker Diarization" to solve the cocktail party problem.

03

Bespoke Modeling

Fine-tuning SOTA models (Whisper/Granite) on your specific domain vocabulary and acoustic environment.

04

Human-in-the-Loop Deployment

Gated launch with "hand-off" protocols where low-confidence AI predictions route instantly to human supervisors.

For Startups & Scale-ups

Speed & API
Consumption

Rapid deployment using commercial APIs (Deepgram/OpenAI). Serverless architectures for scaling from 0 to 100k calls without infrastructure overhead.

  • Zero Ops Overhead
  • Pay-as-you-go
  • Instant Provisioning
Enterprise & Regulated

Privacy &
Sovereignty

On-premise or Private Cloud deployments (Kubernetes/OpenShift). Full data residency compliance (GDPR/HIPAA/PCI) with no data training leakage.

  • Air-gapped Environments
  • Frozen Models
  • Full Audit Trails

Technology Stack

Frameworks & Libraries

PyTorchTensorFlowNVIDIA NeMo

Inference Engines

OpenAI WhisperGoogle Vertex AIIBM Granite

Infrastructure

KubernetesDockerAWS Lambda

LLM Orchestration

LangChainHugging FaceLlamaIndex

Engineered Answers

How do you handle heavy accents or noisy backgrounds?
We utilize "Transfer Learning" to fine-tune base models on your specific customer demographic data, and employ advanced noise-suppression pre-processing to isolate speech signals in industrial or call center environments.
Is our voice data used to train public models?
No. For enterprise clients, we deploy "Frozen" models or Private Cloud instances. Your data remains isolated within your VPC (Virtual Private Cloud) and is never sent to public training pools.
Can you integrate with our 20-year-old Avaya PBX?
Yes. We use Session Border Controllers (SBCs) and SIP bridging to fork the audio stream from legacy hardware to our modern cloud inference engine with sub-500ms latency.
What is the difference between "GenAI" and "Agentic AI"?
GenAI creates content (summaries, text). Agentic AI takes action. Our solutions can autonomously navigate your backend systems to perform tasks like rebooking flights or processing refunds, not just talking about them.
How quickly can we see a return on investment?
Most clients achieve break-even within 90 days due to immediate reductions in Cost-to-Serve and the low entry cost of modern cloud infrastructure.
Future Proof Your Enterprise

Ready to Scale Your ML Capabilities?

Move beyond pilots and PoCs. Deploy robust, scalable, and secure Machine Learning solutions that drive real business value.