AI-NATIVE PRODUCT STUDIO · DATA SOVEREIGNTY BY DESIGN

Theory into practice.

Praxis is an AI-native product studio with a founding principle: use AI to build like a funded team — without surrendering your data, your methods, or your customers to someone else's platform.

What we're about See what we've built

0 data collected — ever On-device by design No platform lock-in

OUR MISSION

Adoption without surrender.

The next decade belongs to the people and businesses who learn to direct AI. One person with deep domain knowledge and well-directed AI can now build what used to take a funded team — software, systems, entire product lines. That power is real, it's here, and most of the working world hasn't touched it yet.

But the way most of the world is adopting AI — pouring their lives, their customers, and their operations into whichever service is closest — builds a dependency they don't understand and can't undo. Your data is your leverage, your privacy, and increasingly your identity. Handing it over shouldn't be the price of admission.

Praxis exists to prove there's a better way — and to teach it. We build real products with AI-augmented methods and publish exactly how. We help businesses automate while keeping sovereignty over their data: knowing what lives where, what it's worth, and how to take it back. We turn hard-won expertise into software, win real efficiencies without quiet surrender, and hand the method to anyone willing to learn it.

Theory into practice. That's the whole company.

We run our own shop the way we tell clients to run theirs

Data sovereignty isn't a slide in our deck — it's the infrastructure this company is built on. Every app we ship is written, stored, and backed up on equipment we own.

Redundant by design

Source code, client work, and archives live on our own network storage — redundant disk arrays with scheduled integrity scrubs, so a failed drive is an errand, not an incident.

Backed up in layers

Continuous local backups, scheduled replication to a second machine on a separate array, and an encrypted copy that leaves the building. Three copies, two devices, one off-site — the rule we publish, applied to ourselves.

Keys held separately

The off-site copy is encrypted, and its keys are kept in custody away from the hardware they protect. Lost or stolen equipment doesn't mean lost control of what was on it.

And the apps themselves collect nothing: no accounts, no analytics, no claim data on anyone's server. What we hold, we hold on machines we own — which is exactly what we'd tell you to do.

Adam Fischer

FOUNDER & COO

Three decades turning emerging technology into how organizations actually run: chairing Morgan Stanley's post-9/11 disaster-recovery response, steering enterprise migrations at Deutsche Bank, leading digital-asset product delivery at BNY Mellon — the world's largest custody bank — and most recently running operations at MPCH, a privacy-technology firm at the intersection of applied AI and data sovereignty. At Praxis, Adam operates as a one-person executive team directing fleets of AI agents in place of engineers: a subscription product live across four Apple platforms, a three-app claims suite, eleven published papers, and a privacy consulting practice — all shipped in months. His thesis: the next great companies will be small, sovereign, and AI-operated. Praxis is the proof in progress.

Meet the team → · LinkedIn

Theory into practice.

Adoption without surrender.

What we do

Products

Consulting

Publishing

We run our own shop the way we tell clients to run theirs

Redundant by design

Backed up in layers

Keys held separately

Adam Fischer

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