Built From Inside the Medical Aesthetic Ecosystem
We Built the Sales Infrastructure We Wish We Had
Zeltix was founded by an industry operator and a systems architect who saw the same bottleneck from different sides.
After more than a decade inside medical aesthetic distribution and manufacturing—managing territories, production cycles, and capital equipment sales.
It was limited by structure.
Zeltix was built to remove that structural drag — permanently.
Not as software.
As infrastructure.

Medical Aesthetic Industry Experience
AI Infrastructure Architecture
Built From Inside Medical Aesthetic Distribution
Zeltix is not a generic AI company entering healthcare.
It was built inside the medical aesthetics ecosystem — by operators who have:
Managed device and skincare territories
Carried revenue targets
Worked inside distributor CRMs
Managed pipeline leakage and rep burnout
Navigated complex capital equipment and consumable sales cycles
Seen how high-performing reps lose capacity to non-selling work
We didn’t design Zeltix from theory.
We built it from lived operational experience.
Why Zeltix Exists
Elite medical aesthetic sales teams were losing up to half their working time to tasks that did not generate revenue.
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Manual follow-up.
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CRM administration.
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Inbox management.
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Reporting.
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Internal coordination.
The problem wasn’t capability.
It was operational drag.
Zeltix exists to eliminate that drag — safely integrating AI into existing CRM structures without disrupting teams or replacing reps.
We increase selling capacity without increasing headcount.
40–60%
Time lost to non-selling work
1 Core Problem
Operational bottlenecks, not demand
0 Team Disruption
Built to work inside existing structures
100% Sales Focused
Infrastructure designed around revenue generation
Not Another AI Tool
Most automation platforms require:
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DIY Internal technical management
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Sales team retraining
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Workflow rebuilding
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Constant manual oversight
We provide a fully managed AI workforce that operates inside your existing CRM.
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No CRM replacement.
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No sales team disruption.
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No internal AI expertise required.
We operate as an extension of your sales operation — not as external software.

Leaders
ZELTIX Leadership

Zay Nadali
Zay brings frontline experience from inside the medical aesthetics distribution world.
Having worked directly with devices, sales teams, and clinic accounts, she understands where revenue is won — and where operational drag slows growth. That insight is what shaped Zeltix.
As CEO, Zay leads strategy, partnerships, and market direction — ensuring everything Zeltix builds solves real problems for real distributor teams.

Harry Beck
Harry is the builder behind Zeltix.
He designs and deploys every AI agent, builds the infrastructure, and integrates the systems directly into client CRM platforms. From automation workflows to voice calling agents, he turns strategy into working systems inside real businesses.
As CTO, he ensures Zeltix is not just intelligent — but operational, secure, and built to scale.
The Zeltix Philosophy
It was built inside the medical aesthetics ecosystem — by operators who have:
Human-Centric AI
Technology should remove friction — so exceptional sales professionals can do what only humans can do.
Results Over Hype
We’re not here to impress with buzzwords — we’re here to build systems that genuinely support performance.
White-Glove Standard
We operate as a fully managed extension of your team, handling the technical complexity so you don't have to.
Credibility Is Everything
Your brand is built on trust. Everything we build must protect and elevate it.
Operational Integrity
We integrate carefully with both sales and production workflows to ensure total structural alignment.
Infrastructure First
Real advantage isn’t tactical. It’s structural. We build foundations that compound over time.

The Competitive Advantage Is Structural
Distributors who implement operational infrastructure now build a 2–3 year advantage over competitors still relying on manual sales workflows.
Zeltix is not a trend.
Built Specifically for Medical Aesthetic Distributors & Hybrid Manufacturers.
The question is not if AI becomes standard.
It’s who implements it first.

