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Our Story

What Adragon AI Does

Every great company starts with a problem that needs solving. Here's how Adragon AI came to be.

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The Spark

Iris Morgan and Kai Bennett started Adragon AI after seeing operations teams copy data between tools, rewrite the same summaries, and make decisions without a clear audit trail.

March 2020

The First Prototype

The first product connected documents, tickets, and business data into a reviewable workflow so teams could move from scattered context to a clear next step.

September 2021

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The Breakthrough

Early customers used Adragon AI to standardize research, customer updates, finance reviews, and support escalation workflows across fast-growing teams.

June 2022

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Our Journey

Our Journey

From startup to enterprise momentum—here's how we keep advancing practical AI workflows.

Foundation

June 2022

Adragon AI started with operations teams that were buried in repetitive research, reporting, and handoffs.

The first workflows focused on turning scattered documents and updates into concise operating briefs.

AI Workflows
Fast Retrieval
Risk Signals
Live Reporting
Governed
Cross-team
Secure
Audited

Platform Launch

June 2022

The platform launched around one practical promise: every AI output should include source context, owner review, and a next step.

Early teams used Adragon AI to standardize account reviews, support summaries, and finance follow-ups.

AI Workflows
Fast Retrieval
Risk Signals
Live Reporting
Governed
Cross-team
Secure
Audited

Enterprise Rollout

June 2022

Enterprise customers pushed the product toward stronger permissions, workflow history, and cross-team rollout controls.

Governance became a core product layer, not an afterthought added after automation was live.

AI Workflows
Fast Retrieval
Risk Signals
Live Reporting
Governed
Cross-team
Secure
Audited

Global Teams

June 2022

Today Adragon AI supports distributed teams that need shared playbooks without losing local business context.

The current platform is built for repeatable AI operations across departments, regions, and business units.

AI Workflows
Fast Retrieval
Risk Signals
Live Reporting
Governed
Cross-team
Secure
Audited
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Results & Impact

How We Build

The principles that guide every decision we make and every product we build.

Innovation First

We push the boundaries of what's possible with AI, constantly researching and implementing cutting-edge technologies to stay ahead.

Customer Success

Your success is our success. We partner closely with every client to ensure they extract maximum value from our platform.

Trust & Security

We design workflows around scoped access, encrypted data handling, audit history, and clear review boundaries.

Responsible Automation

Every workflow is designed with human review, auditability, and clear boundaries so teams stay in control.

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Our Team

Meet The
Adragon AI Team

Led by product, infrastructure, and operations specialists focused on dependable enterprise AI.

01.

Iris Morgan

CEO and Co-founder

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02.

Kai Bennett

CTO and Co-founder

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03.

Noah Sato

Head of Product

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04.

Leila Nassar

Customer Operations Lead

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01.

Iris Morgan

CEO and Co-founder

team-card-image

02.

Kai Bennett

CTO and Co-founder

team-card-image

03.

Noah Sato

Head of Product

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04.

Leila Nassar

Customer Operations Lead

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Pricing

Plans For Every Rollout

Choose a plan that matches your data volume, governance needs, and rollout pace.

Starter

$0

/month

A simple way to pilot governed AI workflows with a small team.

  • 100 workflow runs / month
  • Standard workspace access
  • Email support
  • Basic reporting
  • 1 admin seat

Starter

$49

/month

A simple way to pilot governed AI workflows with a small team.

  • 100 workflow runs / month
  • Standard workspace access
  • Email support
  • Basic reporting
  • 1 admin seat

Starter

$0

/month

A simple way to pilot governed AI workflows with a small team.

  • Unlimited AI operations / mo
  • Standard workspace access
  • Email support
  • Basic reporting
  • Unlimited user license

Ready to Put Adragon AI to Work?

Bring your documents, data, and operating playbooks into one AI workspace built for measurable business outcomes.

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