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Real-time Voice Analytics Platform Enhancement & Cloud Integration
  1. case
  2. Real-time Voice Analytics Platform Enhancement & Cloud Integration

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Real-time Voice Analytics Platform Enhancement & Cloud Integration

knubisoft.com
Information technology
Telecommunications
Business services

Challenges with Existing Platform

The client's existing AI-based voice analytics platform, built on microservices and utilizing diverse communication protocols, suffers from instability, maintenance difficulties due to protocol incompatibility, and limitations in cloud deployment (Twilio, RingCentral). This leads to increased support costs and hinders market expansion.

About the Client

Innovative US IT company developing AI and ML-based voice analytics solutions for businesses.

Project Goals

  • Enhance the stability and reliability of the real-time voice analytics platform.
  • Reduce platform maintenance costs through standardization of communication protocols.
  • Enable seamless integration with cloud communication platforms (Twilio, RingCentral).
  • Improve platform scalability to handle increasing data volumes.
  • Implement robust monitoring and alerting capabilities for proactive system management.

Functional Requirements

  • Implementation of a custom, standardized communication protocol.
  • Development of a streambased communication framework supporting multiple streaming providers (Kafka, Pulsar, Nats).
  • Integration with Twilio and RingCentral APIs for cloud communication.
  • Real-time data processing and analysis capabilities.
  • Comprehensive metrics collection and visualization (Grafana).
  • Alerting system for proactive issue detection.

Preferred Technologies

Docker
Kubernetes
Prometheus
Kafka
Nats
Pulsar
gRPC
Socket.io
Java
Kotlin
Spring
Maven
Sonarqube
Redis
Ring Central
Guava
JUnit 5
Grafana

Integrations Required

  • Twilio API
  • RingCentral API

Non-Functional Requirements

  • High scalability to handle large volumes of real-time data.
  • Low latency for real-time processing.
  • High availability and fault tolerance.
  • Robust security measures to protect sensitive voice data.
  • Comprehensive monitoring and alerting capabilities.
  • Automated testing and CI/CD pipeline integration.

Expected Business Impact

This project is expected to significantly improve the stability and reliability of the VoiceBase platform, leading to reduced support costs and enhanced customer satisfaction. Successful cloud integration will expand market reach and enable new business opportunities. The implementation of metrics and automated testing will accelerate development cycles and improve overall system quality.

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