ExaCare AI $30M Series A Sales Trigger

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🚀 Battle Card

🚀 Battle Card: ExaCare AI

Quick trigger:

👤 Decision Maker in the News

Laird Russell, Co-Founder & CEO 📧 laird@exacare.com

💡 Why It Matters

The ExaCare AI sales trigger turbocharges AI-driven referrals, letting teams cut admission cycle times and outpace competitors → Source

🎯 Core Pain Point

Slow referral-to-admission workflows

Inconsistent decision-making due to unstructured data hurdles

💰 What to Pitch

Primary: AI-powered decisioning platform → Reduce referral processing time by ≥30%

Expansion: Analytics & insights module → Optimize bed utilization and staffing forecasts

🗺️ Quick Context

HQ: New York, NY, USA

Employees: ≈ 50

Rev: ≈ $5 M

Website: exacare.com

🤼 Competitive Intel

Which other vendors you’ll probably face to win ExaCare AI’s business.

PointClickCare — care coordination & long-term/post-acute EHR

Unique edge: Comprehensive post-acute suite with market penetration
Evaluated by VP Ops for end-to-end workflow integration

WellSky — population health & care management platform

Unique edge: Deep analytics for resource optimization
Evaluated by Dir. of Clinical Ops for predictive insights

Keona Health — referral management & coordination

Unique edge: Real-time referral tracking across networks
Evaluated by COO for speeding admission decisions

✅ Do-Now Checklist

Connect with all decision makers on LinkedIn (links above)

Generate email + DM with the Copy-My-Prompt block (Step 7) 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-powered decisioning platform❑
PROOF_METRIC  = ❑30% processing time reduction❑
CTA_STYLE     = ❑quick_call❑
TONE          = ❑friendly❑

────────────────────────────
📌 TARGET COMPANY
────────────────────────────
NAME        = Laird
COMPANY     = ExaCare AI
DEPT        = Product/Eng
SIZE        = ≈10
BOTTLENECK  = slow referral processing
EVENT       = Completed $30M Series A
DETAIL      = ExaCare AI Completes $30M Series A Round
PAIN        = Slow referral-to-admission workflows
SRC         = https://vcnewsdaily.com/exacare-ai/venture-capital-funding/kyfwcwmsnl
SIM_CO      = National Healthcare Associates
WIN_METRIC  = 30% reduced processing time
NEXT_SIZE   = ≈25
EMP_EST     = ≈50
REV_EST     = ≈$5M

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

Validate any ≈ guesses via SRC.

EMAIL  (keep breaks):
Subject: ≈10-person Product/Eng

Laird—noticed your Product/Eng team is ≈10.

That’s when slow referral processing slows growth.

We helped National Healthcare Associates fix this with AI-powered decisioning platform.

Result: 30% reduced processing time.  
Quick call?

PS—next bottleneck hits ≈25.

DM ≤45 words, TONE:
Saw your post about ExaCare AI Completes $30M Series A Round — Slow referral-to-admission workflows.  
AI-powered decisioning platform. 30% processing time reduction.  
Quick chat?

Pipeline Alert: ExaCare AI $30M Series A