Founder / Builder

SebastienFenelon.

Founder & CEO of InthraOS. Building sovereign AI infrastructure, operational ML systems and advanced computational systems for environments where control matters.

“The most useful intelligence should increase human and organizational agency—not force people to surrender control of their data, infrastructure or decisions.”
Sebastien Fenelon
New York / Global
AI infrastructure · ML systems · privacy · frontier compute
Builder thesis

Build the infrastructuremissing between intelligence and control.

Years of building software and AI around regulated or sensitive environments exposed the same recurring problem: enterprises want the capability of modern AI, but often cannot accept the loss of control that comes with shipping sensitive context into external systems.

InthraOS grew from that problem. The company is built around a simple idea: advanced intelligence should be deployable inside the customer's boundary, governed as infrastructure and accountable at runtime.

That same systems mindset extends beyond one AI product—into machine learning, optimization and frontier-compute experiments where the objective is always to turn advanced technology into a working, measurable system.

Current focus

Systems worth building.

Sovereign AI

Infrastructure that lets regulated organizations use advanced intelligence without surrendering control of sensitive data.

ML systems

Operational machine-learning systems built around measurable decisions, outcomes and constrained automation.

Frontier compute

Exploration across local AI, edge intelligence, optimization and quantum-assisted computation.

Builder path

Technical depth with a product and market lens.

01
Founder

InthraOS

Building private infrastructure for intelligent operations across regulated enterprise and critical environments.

02
Technical leadership

Regulated product environments

Experience across health technology, sensitive visual-data systems, full-stack engineering and ML product execution.

03
Research & systems

Advanced computation

Ongoing work across machine learning, privacy engineering, optimization and quantum-computing system design.

Connect

Building in sovereign AI, enterprise ML or frontier compute?

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