GeneDx AI Board Trigger: Close Cloud & Data Deals Fast

🚀 Battle Card: GeneDx

• Dr. Thomas Fuchs, Board of Directors Member · 🔗 LinkedIn

• Bringing an AI and precision medicine leader onto the board signals a major push to scale AI-powered genomic diagnostics and accelerate drug discovery—use this GeneDx sales trigger to pitch scalable cloud and data solutions. → Source

• Scaling AI/ML infrastructure cost-effectively

• Integrating and securing large rare-disease datasets

• Primary: High-performance GPU cloud compute → Cut AI model training times by 50%

• Expansion: Compliant data management platform → Streamline data integration & governance

• HQ: Gaithersburg, MD

• Employees: ≈ 300

• Rev: ≈ $100 M

• Website: genedx.com

🤼 Competitive Intel

• Google Cloud — Cloud GPU / AI Platform
• Unique edge: Integrated Genomics Pipelines API
• Evaluated by AI/ML teams for seamless scaling

• AWS — Cloud Compute / AI Services
• Unique edge: Broad GPU instance types & managed ML suites
• Evaluated by IT for reliability & global reach

• Microsoft Azure — Cloud / Data Management
• Unique edge: Healthcare compliance certifications
• Evaluated by Ops for security & governance

• Databricks — Data Analytics / Machine Learning
• Unique edge: Unified analytics platform for genomics pipelines
• Evaluated by Data Science leads for collaboration features

• NVIDIA — GPU Hardware / AI Infrastructure
• Unique edge: Optimized GPUs & CUDA toolkits for ML workloads
• Evaluated by Engineering for performance gains

✅ Do-Now Checklist

Next Step

🧠 Copy My Prompt for Personalized Cold Outreach

────────────────────────────
✏️ YOUR COMPANY
────────────────────────────
OUR_COMPANY   = ❑❑
OFFER_BRIEF   = ❑High-performance GPU cloud compute❑
PROOF_METRIC  = ❑Cut AI model training times by 50%❑
CTA_STYLE     = ❑quick_call❑
TONE          = ❑friendly❑

────────────────────────────
📌 TARGET COMPANY
────────────────────────────
NAME        = Thomas
COMPANY     = GeneDx
DEPT        = AI/ML
SIZE        = ≈10
BOTTLENECK  = scaling AI/ML infrastructure cost-effectively
EVENT       = Appoints Dr. Thomas Fuchs to Board of Directors
DETAIL      = Appoints AI and Precision Medicine leader Dr. Thomas Fuchs to Board of Directors
PAIN        = integrating and securing large rare-disease datasets
SRC         = http://cts.businesswire.com/ct/CT?id=ftfLlWd9aZbF2NXfwppam3Bd664=&newsLang=en&newsId=20250918968626&div=41152219
SIM_CO      = ≈Illumina
WIN_METRIC  = cut AI model training times by 50%
NEXT_SIZE   = ≈20
EMP_EST     = ≈300
REV_EST     = ≈$100M

────────────────────────
TASK FOR CHATGPT
────────────────────────
Role: “NewsletterForLeads SDR-Assist”.
Validate any ≈ guesses via SRC.

EMAIL  (keep breaks):
Subject: ≈10-person AI/ML

Thomas—noticed your AI/ML team is ≈10.

That’s when scaling AI/ML infrastructure cost-effectively slows growth.

We helped ≈Illumina fix this with High-performance GPU cloud compute.

Result: cut AI model training times by 50%.  
Quick call?

PS—next bottleneck hits ≈20.

DM ≤45 words, TONE:
Saw your post about Appoints AI and Precision Medicine leader Dr. Thomas Fuchs to Board of Directors — integrating and securing large rare-disease datasets.  
High-performance GPU cloud compute. Cut AI model training times by 50%. Quick chat?