Turn cold outreach into warm conversations with AI

ParisAI Labs builds email intelligence that identifies high-intent e-commerce prospects and generates personalized outreach that converts. Built on AWS Bedrock, processing thousands of signals per second.

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// Live pipeline output
→ Ingested 847 prospects from Shopify store
→ NLP scoring: 23 high-intent (confidence >0.85)
→ Generated 23 personalized sequences
→ Sent via SES (deliverability: 99.2%)
→ Results: 4 replies, 2 meetings booked
✓ Pipeline complete — 8.7% reply rate
15K+
Emails Processed
3.6%
Prospect → Lead
99.2%
Deliverability
<1.8s
Scoring Latency

What we build

An end-to-end AI pipeline that replaces manual prospecting with intelligent, automated outreach that respects your brand voice.

🎯

Intent Scoring Engine

Our NLP models analyze prospect behavior, website activity, and public signals to score purchase intent on a 0-100 scale. Only high-confidence leads enter your pipeline.

✍️

Personalized Generation

Each email is uniquely crafted using the prospect's context — their products, recent activity, and pain points. No templates, no generic copy.

📈

Conversion Analytics

Track the full funnel from first touch to reply. See which signals predict conversion and which messaging angles resonate with each segment.

🔒

Deliverability First

Domain warming, reputation monitoring, and smart throttling built in. We maintain 99%+ inbox placement because great emails only work if they arrive.

🔗

Shopify & Platform Integrations

Connect your store in one click. We pull product catalog, customer data, and behavioral signals to enrich prospect profiles automatically.

Real-Time Processing

New prospects are scored and sequenced within seconds of entering the system. No batch delays. AWS Lambda event-driven architecture handles any volume.

How it works

From raw prospect data to booked meetings in four steps.

Connect your data sources

Link your Shopify store, CRM, or upload a prospect list. Our system ingests product catalogs, customer segments, and behavioral data to build rich prospect profiles.

AI scores and qualifies

Our fine-tuned NLP models analyze each prospect across 40+ signals: website content, social presence, tech stack, growth indicators, and buying patterns. Only prospects with confidence >0.7 proceed.

Personalized sequences generated

AWS Bedrock generates unique, context-aware email sequences for each qualified prospect. Every message references specific details about their business — no generic outreach.

Send, track, optimize

Emails are delivered via Amazon SES with optimal timing. Responses are classified automatically. Positive replies surface instantly. The system learns from every interaction to improve over time.

Built on enterprise infrastructure

We use AWS services for reliability, security, and scale. No vendor lock-in — standard protocols, exportable data.

AWS Bedrock (Claude, Titan) Amazon SES AWS Lambda DynamoDB Python 3.12 PostgreSQL EventBridge CloudWatch

Architecture highlights

  • → Event-driven serverless — scales from 0 to 10K emails/hour with zero idle cost
  • → Multi-model inference — Bedrock for generation, custom models for classification
  • → SOC 2 compliant infrastructure — data encrypted at rest and in transit
  • → 99.9% uptime SLA on all customer-facing services

Team

Small team, deep expertise. We've spent years building email systems and ML pipelines at scale.

PR

Pierre Richard

Founder & CEO

ML engineer with background in NLP and large-scale email systems. Previously built email delivery infrastructure processing 50M+ messages/month. Based in Paris.

Latest updates

Building in public. Here's what we're working on.

June 2, 2025 · Product

Launching our beta: AI-powered lead scoring for Shopify stores

After three months of development and testing with early design partners, we're opening our beta to select Shopify merchants. Our NLP pipeline now processes 15K+ emails with a 3.6% conversion rate from cold prospect to interested lead — about 4x the industry average for automated outreach.

April 15, 2025 · Technical

Why we chose AWS Bedrock over self-hosted models

When we started building our inference pipeline, we evaluated self-hosting open models vs. managed services. The math was clear: at our current scale (sub-1M tokens/day), Bedrock's pay-per-use model costs 70% less than maintaining GPU instances, with better latency and zero ops overhead.

March 15, 2025 · Company

Hello world: introducing ParisAI Labs

Today we're officially launching ParisAI Labs. Our mission: make intelligent email outreach accessible to every e-commerce brand, not just those with dedicated sales teams. We're starting with Shopify merchants and expanding from there.

Ready to transform your outreach?

We're onboarding select e-commerce brands for our beta. No credit card required.

Request Access