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CASE STUDY / PROJECT 0012025 - Present

KONVO

AI-powered conversation intelligence platform that analyzes and automates business conversations in real time.

Next.jsTypeScriptPythonLLM AgentsWebRTCDocker
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01 / OVERVIEW

Product Context & Objectives

KONVO is an AI-powered conversation intelligence startup focused on analyzing and automating business conversations. It ingests multichannel audio streams, runs high-accuracy speech-to-text, extracts contextual sentiment and customer intent, and triggers automated CRM workflows.

THE PROBLEM

Identified Inefficiencies

Over 85% of critical customer insights, objections, and buying intent from live business calls are lost due to manual note-taking friction and lack of real-time intelligence.

THE SOLUTION

Engineered Approach

A real-time cognitive streaming engine that transcribes audio in sub-seconds, evaluates call sentiment shifts, and synchronizes actionable summaries directly to CRMs.

02 / TECHNICAL ARCHITECTURE

Stack & Architectural Components

Core Runtime

Next.js & TypeScript with modular API endpoints and optimized state management.

Data Persistence

Structured persistence and fast querying with indexing and schema validation.

Security & Scalability

Strict input validation, responsive cross-device layouts, and structured error handling.

03 / ENGINEERING FOCUS

Key Implementation Highlights

  • Designed and built complete end-to-end user workflows with emphasis on speed and usability.
  • Implemented resilient error handling and asynchronous data fetching with optimistic UI updates.
  • Structured clean, reusable component architecture aligned with industry SaaS and engineering standards.
  • Tested across modern browsers ensuring strict accessibility, fast rendering, and zero layout shift.