Real-Time Transcription
OpenAI-powered transcription runs inline with the audio stream for zero-latency capture.
A live conversation intelligence platform for a US real estate sales platform — transcribes every client call in real time, surfaces CRM context during active calls, and delivers AI prompts to guide agents toward conversion.
What the work moved — the proof points that came out of the build.
Real estate agents were losing high-intent buying signals during calls because they lacked instant access to client history, budget and preferences mid-conversation. Valuable follow-up context was either missed entirely or scattered across disconnected notes, weakening conversion rates on tours and deals.
The brief was time-sensitive: prompts had to surface during a live call, not after. We scoped a Flask + WebRTC architecture so transcription, intent recognition and CRM lookups could all run inline with the audio stream, with the AI prompt engine reasoning on each new utterance as it landed.
We engineered a Flask and WebRTC-based platform integrated with OpenAI for real-time transcription and intent recognition, pulling live CRM data during active calls. The AI prompt engine analyses call flow as it happens and delivers exact next-step suggestions — tour bookings, follow-ups, objection handling — with every transcript securely saved for deal tracking and downstream analytics.
OpenAI-powered transcription runs inline with the audio stream for zero-latency capture.
Client history, budget and preferences surface to the agent mid-call.
Next-step suggestions — tour bookings, follow-ups, objection handling — analysed against call flow as it happens.
Every conversation stored against the deal record for tracking and downstream analytics.
Tell us what's slowing your team down. We'll come back with a scoped, no-obligation plan.