Web Development | 12 Aug 2026
React.js for AI Agents: Building the Next Generation of Web Apps
Learn MoreA real-time voice analytics solution that transforms verbal conversations into actionable business intelligence for sales teams, support centers, and executive decision-makers.

Our client needed a platform to capture live voice conversations, convert them to text instantly, and extract intelligence teams could act on. Existing tools fell short on multi-speaker accuracy and offered zero live coaching.
Build an enterprise-grade voice analytics platform with real-time transcription, automated speaker separation, AI-driven live coaching, and a comprehensive analytics dashboard, all within strict security and encryption standards.


A clean, distraction-free dashboard that surfaces transcription streams, speaker labels, and live AI suggestions without clutter. Interactive timelines let users scrub conversations, review speaker segments, and access summaries in a single click.
The intelligence layer delivers real-time coaching suggestions during live calls, helping reps handle objections and close stronger. Post-session, the system auto-generates summaries with action items, key topics, and sentiment shifts across the full conversation.
Get StartedAchieving near-instant speech-to-text across multiple speakers and accents required a custom WebSocket pipeline streaming audio directly to processing engines.
Separating individual speakers in overlapping conversations needed an asynchronous layer combining multiple AI models for high-confidence identification.
Delivering live suggestions without lag demanded a lightweight inference layer running parallel to the transcription stream.
Sensitive conversations required end-to-end encryption, JWT authentication, role-based access, and parameterized queries across every data layer.

Integrated Deepgram and OpenAI Whisper through a plug-and-play architecture with automatic fallback between providers.
Modular AI layer supporting OpenAI, Deepgram, and AssemblyAI for transcription, sentiment analysis, and summaries without vendor lock-in.
Automated summarization and topic extraction replaced manual reviews, cutting post-session analysis time in half.
SSL/TLS across all channels, secure WebSocket protocols, and parameterized queries ensuring zero data exposure.
Our Custom AI Development Services help you build intelligent systems that fit your goals, designed with your team's input and delivered with real-world performance in mind.

Custom WebSocket engine paired with Deepgram and OpenAI Whisper for real-time, multi-speaker transcription with minimal latency.

Session metrics including talk-to-listen ratios, speaking pace, interruption patterns, and searchable historical analysis across all past interactions.

Plug-and-play integration with OpenAI, Deepgram, and AssemblyAI, giving the client flexibility to swap or combine models without code changes.

JWT authentication, RBAC permissions, encrypted WebSocket communication, and parameterized queries forming a secure foundation for sensitive business data.

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