I’m launching a new venture—RevvTik—and need a full-stack build of a multi-tenant SaaS platform whose core is an AI sales assistant that works in real time. The assistant must listen to phone calls, video conferences and live chat sessions, create accurate live transcriptions, analyse intent and sentiment on the fly, then surface actionable recommendations while the conversation is still happening. Beyond the AI layer, the product has to feel like a polished, modern SaaS: subscription management, user/role administration, and a clean web dashboard where customers can replay calls, read AI-generated summaries and push insights straight into their existing tools (think CRM, ticketing, calendars, Slack, etc.). Low-latency integrations are essential—nothing more than a few seconds’ lag between spoken word and on-screen suggestion. Key deliverables • Cloud-hosted, multi-tenant back-end (serverless or containerised) • Real-time audio/video ingestion with speech-to-text pipeline • NLP module for sentiment, intent and action-item extraction • Front-end dashboard (React/Next or similar) with live pop-ups for sales cues • API & webhook layer for downstream integrations • Basic billing, auth and admin console Acceptance criteria • Live suggestions must appear ≤3 s after the phrase is spoken/typed • Transcription word error rate ≤10 % on clear audio • Summaries and action items exportable to at least one major CRM and Slack • Platform ready for public beta sign-ups (stripe test mode acceptable) If you have practical experience with speech models (e.g., Deepgram, Whisper), vector databases, and SaaS architecture best practices, this brief should read like a roadmap. Let’s bring RevvTik to life.