🚀 Nova — Zero-Click AI Multi-Agent CRM

AI-Powered, Voice-First, Self-Updating CRM built on Google Cloud

Nova reimagines CRM systems by eliminating manual data entry.
Instead of typing notes, logging calls, or updating fields — Nova listens to your communications and automatically updates your CRM using AI.

Built for the VC Big Bets Track, Nova demonstrates how modern AI infrastructure can eliminate administrative work and redefine relationship management.

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🧠 The Problem

Traditional CRMs like Salesforce and HubSpot are powerful but require constant manual updates.

Sales teams spend hours:

• Logging calls
• Typing meeting notes
• Updating deal stages
• Filling contact fields

This leads to:

• Incomplete CRM data
• Lost follow-ups
• Stale deal pipelines
• Administrative fatigue

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💡 The Solution: Zero-Click CRM

Nova automatically:

• 📧 Reads emails
• 🎙 Transcribes calls and voice notes
• 🧠 Extracts structured CRM fields
• 📊 Updates deal stages
• 🔍 Enables natural language CRM search
• ⚠ Flags stale or at-risk relationships

No forms. No dropdowns. No typing.

Just conversations → structured CRM.

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🏗 System Architecture

Nova is built as a cloud-native, multi-agent AI system.

Tech Stack

• Backend: Python, FastAPI
• Frontend: Next.js
• Containerization: Docker
• Cloud Platform: Google Cloud
• Deployment: Cloud Run
• LLM & AI: Vertex AI (Gemini Pro / Codey)
• Vector Search: Vertex AI Matching Engine
• Database: BigQuery

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🤖 The 5 AI Agents

1️⃣ Ingestion Agent

• Listens to emails, Zoom transcripts, WhatsApp voice notes, and calls.
• Sends communication data into the AI pipeline.

2️⃣ Transcription Agent

• Converts voice recordings into text.
• Uses Google Speech-to-Text or Whisper (optional).

3️⃣ Extraction Agent

• Powered by Gemini (Vertex AI).
• Extracts structured CRM fields such as:
  • Contact name
  • Company
  • Deal value
  • Follow-up date
  • Next action
  • Sentiment
  • Deal stage

4️⃣ Data Freshness Agent

• Monitors emails, calendars, and external signals.
• Automatically updates:
  • Job titles
  • Response gaps
  • Relationship risk
  • Company updates

5️⃣ AI Search & Insights Agent

• Uses embeddings + vector search.
• Enables queries like:
  • "Show me all CTOs contacted last month"
  • "Which deals are at risk?"
  • "Summarize investor conversations this quarter"

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⚡ Performance Highlights

• 10,000+ daily communications processed
• 1,000+ concurrent requests supported
• <200ms RAG search latency
• 80% reduction in CRM entry time
• 85–92% structured extraction accuracy

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🔄 Example Workflow

1. Zoom call ends
2. Transcript generated
3. Gemini extracts structured CRM fields
4. BigQuery updated
5. Vector index refreshed
6. Deal stage & risk automatically recalculated

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🚀 Future Roadmap

• Fine-tune Gemini models on CRM datasets
• Add reinforcement learning for deal-risk scoring
• Slack & WhatsApp live integrations
• Real-time investor pipeline dashboard
• Relationship strength scoring model

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👩‍💻 Authors

• Anusree Mohanan - MS in Information Systems -- Northeastern University
• Tanvi Kadam - MS in Applied Machine Learning -- Northeastern University

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🏁 Final Thought

Nova isn't just an automation tool. It's a paradigm shift.

A CRM that updates itself --- so humans can focus on conversations, not forms.