Battle Card: Tahoe Therapeutics' $30M Financing Trigger

🚀 Battle Card: Tahoe Therapeutics

• Nima Alidoust, Co-Founder & CEO 📧 nima@tahoebio.ai

• This $30M infusion fuels the generation of 1B single-cell datapoints, unlocking precision medicine breakthroughs at scale. → Source

• Scaling single-cell data pipelines to handle billions of data points

• Translating massive exploratory datasets into clinical outcomes

• Primary: Cloud DataOps Platform → Seamless, cost-effective scaling and governance of single-cell datasets

• Expansion: Data Collaboration Suite → Accelerated partner onboarding and secure data sharing

• HQ: South San Francisco, CA

• Employees: ≈ 50

• Rev: ≈ $2 M

• Website: https://www.tahoebio.ai/

🤼 Competitive Intel

• AWS — Cloud Data Platform
• Unique edge: Enterprise-grade scalability and global footprint
• Evaluated by IT & Engineering leads for reliability at scale

• Databricks — Data Engineering & ML
• Unique edge: Unified notebooks for end-to-end ML pipelines
• Evaluated by Head of Data Science for model training speed

• Snowflake — Cloud Data Warehouse
• Unique edge: Decoupled storage and compute for cost control
• Evaluated by CFO & Finance for predictable pricing

• Google Cloud Platform — Cloud Storage & AI
• Unique edge: Advanced AI/ML tooling and TPUs
• Evaluated by ML Engineers for model performance

• Microsoft Azure — AI & ML Infrastructure
• Unique edge: Integrated Azure ML with enterprise security
• Evaluated by VP Engineering for compliance and support

✅ Do-Now Checklist

Next Step

🧠 Copy My Prompt for Personalized Cold Outreach

────────────────────────────
✏️ YOUR COMPANY
────────────────────────────
OUR_COMPANY   = ❑❑
OFFER_BRIEF   = ❑Cloud DataOps Platform for single-cell datasets❑
PROOF_METRIC  = ❑3x faster processing❑
CTA_STYLE     = ❑quick_call❑
TONE          = ❑punchy❑

────────────────────────────
📌 TARGET COMPANY
────────────────────────────
NAME        = Nima
COMPANY     = Tahoe Therapeutics
DEPT        = Executive
SIZE        = ≈ 50
BOTTLENECK  = Scaling single-cell data pipelines to billions of datapoints
EVENT       = Lands $30M Financing Round
DETAIL      = generate one billion single-cell datapoints
PAIN        = translating massive exploratory datasets into clinical outcomes
SRC         = https://vcnewsdaily.com/tahoe-therapeutics/venture-capital-funding/xppxtdmldx
SIM_CO      = Recursion Pharmaceuticals
WIN_METRIC  = 3x faster processing
NEXT_SIZE   = 200
EMP_EST     = ≈ 50
REV_EST     = ≈ $2M

────────────────────────
TASK FOR CHATGPT
────────────────────────
Role: “NewsletterForLeads SDR-Assist”.

Validate any ≈ guesses via SRC.

EMAIL  (keep breaks):
Subject: ≈ 50-person Executive

Nima—noticed your Executive team is ≈ 50.

That’s when Scaling single-cell data pipelines to billions of datapoints slows growth.

We helped Recursion Pharmaceuticals fix this with Cloud DataOps Platform for single-cell datasets.

Result: 3x faster processing.  
Quick call?

PS—next bottleneck hits ≈ 200.

DM ≤45 words, TONE:
Saw your post about generate one billion single-cell datapoints — translating massive exploratory datasets into clinical outcomes.  
Cloud DataOps Platform for single-cell datasets. 3x faster processing.  
Quick chat?