ParisAI Labs

AI Email Intelligence
for E-Commerce

Turning outbound email into a precision AI system that identifies and converts high-intent prospects at scale.

NVIDIA Inception Application — June 2026

ParisAI Labs

The Problem & Our Solution

❌ The Problem

E-commerce brands waste 90%+ of email outreach on unqualified prospects. Manual lead scoring doesn't scale. Generic emails get ignored.

✅ Our Solution

NLP-powered lead scoring + AI-personalized email sequences. Every prospect gets a unique, contextually relevant message based on behavioral signals.

ParisAI Labs

Traction & Metrics

15K+

Emails Processed

3.6%

Lead Conversion

<2s

Processing Time

4x

vs Industry Avg

Platform live since March 2025. Processing real customer data with measurable conversion improvement.

ParisAI Labs

Technology & GPU Requirements

AWS Bedrock LLM Inference NLP Pipeline Python PostgreSQL Lambda

Why We Need GPU Compute:

Fine-tuning custom email classification models (lead intent scoring)
Embedding generation for semantic prospect matching at scale
Real-time inference for personalized email generation (batch + streaming)
Scaling from 15K to 1M+ emails/month requires dedicated GPU inference

ParisAI Labs

Team & Ask

👤 Pierre Richard — CEO & Founder

AI/ML engineer with deep experience in NLP, email systems, and scalable infrastructure. Built the entire platform from scratch.

🎯 NVIDIA Inception Ask

GPU credits for model fine-tuning and inference scaling. Access to NVIDIA DGX Cloud, technical support, and the Inception network for go-to-market partnerships.

Ready to scale AI email intelligence to 1M+ prospects/month with NVIDIA infrastructure.

AI Email Intelligencefor E-Commerce

The Problem & Our Solution

❌ The Problem

✅ Our Solution

Traction & Metrics

Technology & GPU Requirements

Why We Need GPU Compute:

Team & Ask

👤 Pierre Richard — CEO & Founder

🎯 NVIDIA Inception Ask

AI Email Intelligence
for E-Commerce