THE COMPANY
We didn't study the infrastructure problem. We lived it.
Years inside the problem. Watching businesses run on disconnected tools, disconnected data, and disconnected teams — then wondering why the numbers never reconcile. We built the operating system because nobody else had.
01 — The Origin
The moment that started everything.
It started with a different kind of system. Years spent studying how complex systems self-organize, adapt, and correct themselves — building AI models, training deep learning architectures on custom GPU infrastructure, shipping real-time synthesis software used in research and performance worldwide.
The PhD work at UC Santa Barbara produced Generative Ecopoietic Systems: computational frameworks that model how natural systems self-correct and optimize. The core insight — that resilient systems need an operating layer connecting everything underneath — never left.
Then came the business side. Every app on your phone runs on an operating system. Your business tools don't have one. The data doesn't flow. The tools don't talk. AI gets deployed on top of a disconnected foundation and delivers a fraction of what was promised.
That's not an AI problem. That's an infrastructure problem.
If your board, an investor, or an acquirer asked you tomorrow for your core operating metrics — clean, consistently sourced, and ready on demand — how long would it take you to answer? If that question gives you pause, it's the same question that started everything.
“Resilient systems need an operating layer connecting everything underneath.”
02 — What We Believe
Conducted.
Every tool in harmony. Every element in its right place.
Think about an orchestra. Eighty musicians. Millions of dollars in instruments. Decades of individual training. Without a conductor, they produce noise — talented, expensive noise, but noise nonetheless.
The same is true of business infrastructure. You can buy the best CRM, the best billing platform, the best analytics tool, the best scheduling system. Each one is world-class on its own. But without a layer that coordinates them — that makes them play the same piece, at the same tempo, in the same key — they are just expensive instruments sitting in the same room.
The next transformation isn't more AI tools. It's infrastructure — the conductor that makes every tool, every agent, every data source perform as one system. We call this conducted: every instrument playing its part, at the right time, as one performance.
Calm authority. Maximum intelligence underneath.
Without.
With.
03 — The Team
Built by practitioners, not theorists.
Every product decision, every architecture choice, every client engagement is informed by direct operational experience.
Dariush Derakhshani, PhD
Founder & CEO
I spent years studying how complex systems self-organize, adapt, and correct themselves — building AI models, training deep learning architectures on custom GPU infrastructure, shipping real-time synthesis software used in research and performance worldwide. The core insight from that work — that resilient systems need an operating layer connecting everything underneath — never left me. It’s the same insight that built monar.
PhD, UC Santa Barbara. Research in Generative Ecopoietic Systems — computational frameworks modeling how natural systems self-correct and optimize. Former builder of AI models, deep learning architectures, and real-time synthesis software.
LinkedInComing Soon
Engineering
We are building the engineering team that will scale this platform across industries. If you believe infrastructure is the real bottleneck, we want to talk to you.
We hire practitioners who have lived inside the systems they are building.
04 — Proof
Numbers don't need adjectives.
Sacramento River Dental — a multi-location healthcare business running five disconnected tools with zero unified visibility into performance. Six-week engagement. One infrastructure deployment.
-81%
Cost per click
From fragmented campaigns to orchestrated system.
+260%
Qualified leads
Same budget. Connected infrastructure.
6 weeks
Full deployment
Industry standard: 12–18 months.
One client. One deployment. The pattern repeats.
05 — How We Work
Principles, not platitudes.
Configuration, not construction.
aOS 25 provides a pre-built foundation for every layer of the infrastructure stack. What remains is configuration. That is why six weeks is real.
Permanent partnership, not projects.
We build it. We deploy it. We stay. The conductor doesn’t leave after the first performance. We conduct permanently.
Your data remains yours.
Full portability. AES-256 encryption. You can leave whenever you want and take everything with you. We earn your business every month.
Proof over promises.
Every claim we make has been demonstrated in production. If we haven’t done it, we don’t say we can.
Infrastructure first, AI second.
AI without infrastructure is a party trick. The models are only as good as the data they can access and the systems they can act on.
No feature dumping.
We deploy the highest-leverage workflows first. Then expand based on evidence. Every feature earns its place through measured impact.
The Invitation
Start with a conversation.
No commitment. Just clarity.
A 30-minute conversation with the founding team. We research your business first. Then we tell you exactly what infrastructure would change — and what it would cost to find out.
You can leave whenever you want. And you'll take everything with you.
AES-256 encryption · TLS 1.3 in transit · HIPAA-compliant · Full data portability