Dyna Robotics Series A Sales Trigger
Dyna Robotics just closed a $120M Series A. Fuel your pipeline: pitch AI Talent Platform to slash hiring time 40% & MLOps to speed model iterations 30%.
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🚀 Battle Card: Dyna Robotics
Quick trigger:
Use this Dyna Robotics sales trigger to open the convo.
👤 Decision Maker in the News
- Lindon Gao, Co-Founder & CEO 📧 lindon@dyna.co
💡 Why It Matters
- Rapid influx of capital signals strong market demand for scalable embodied AI in service industries. → Source
🎯 Core Pain Point
- Scaling R&D headcount to accelerate foundation model development
- Managing infrastructure for high-frequency model iterations
💰 What to Pitch
- Primary: AI Talent Platform → Reduce time-to-hire by 40%
- Expansion: MLOps Infrastructure → Accelerate model iteration by 30%
🗺️ Quick Context
- HQ: Redwood City, CA
- Employees: ≈ 150
- Rev: ≈ $10M
- Website: dyna.co
🤼 Competitive Intel
*Which other vendors you’ll probably face to win Dyna Robotics’ business.*
- Greenhouse — HR & Talent Ops
- Unique edge: Industry’s best candidate experience
- Evaluated by Head of People for scalability
- Lever — HR & Talent Ops
- Unique edge: Collaborative hiring workflows
- Evaluated by Talent Acquisition for analytics
- Workday — HR & Talent Ops
- Unique edge: End-to-end HCM suite
- Evaluated by CFO for reporting
- AWS SageMaker — MLOps Platform
- Unique edge: Fully managed, end-to-end service
- Evaluated by CTO for integration
- Weights & Biases — MLOps Platform
- Unique edge: Experiment tracking at scale
- Evaluated by ML Engineers for reproducibility
- Kubeflow — MLOps Platform
- Unique edge: Open-source flexibility
- Evaluated by DevOps for customization
✅ Do-Now Checklist
Connect with Lindon Gao on LinkedIn
Craft email & DM using Dyna Robotics sales trigger insights and send first touch
Schedule follow-ups in CRM (Day 3 & Day 10)
Next Step
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🧠 Copy My Prompt for Personalized Cold Outreach
────────────────────────────
✏️ YOUR COMPANY
────────────────────────────
OUR_COMPANY = ❑❑
OFFER_BRIEF = ❑AI Talent Platform to reduce time-to-hire by 40%❑
PROOF_METRIC = ❑40% reduction in time-to-hire❑
CTA_STYLE = ❑quick_call❑
TONE = ❑friendly❑
────────────────────────────
📌 TARGET COMPANY
────────────────────────────
NAME = Lindon
COMPANY = Dyna Robotics
DEPT = Engineering
SIZE = 150
BOTTLENECK = scaling R&D headcount to accelerate foundation model development
EVENT = Completes $120M Series A
DETAIL = Completing $120M Series A
PAIN = Managing infrastructure for high-frequency model iterations
SRC = https://vcnewsdaily.com/dyna-robotics/venture-capital-funding/ngmctgnvvb
SIM_CO = ≈ TBD
WIN_METRIC = ≈ TBD
NEXT_SIZE = ≈ TBD
EMP_EST = 150
REV_EST = $10M
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TASK FOR CHATGPT
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Role: “NewsletterForLeads SDR-Assist”.
Validate any ≈ guesses via SRC.
EMAIL (keep breaks):
Subject: 150-person Engineering
Lindon—noticed your Engineering team is ≈ 150.
That’s when scaling R&D headcount to accelerate foundation model development slows growth.
We helped ≈ TBD fix this with AI Talent Platform to reduce time-to-hire by 40%.
Result: ≈ TBD.
Quick call?
PS—next bottleneck hits ≈ TBD.
DM ≤45 words, TONE:
Saw your post about Completing $120M Series A — Managing infrastructure for high-frequency model iterations.
AI Talent Platform to reduce time-to-hire by 40%. 40% reduction in time-to-hire.
Quick chat?