ogram
ProductCasesSecurityTeam
A Mansart-roofed private-bank building on Place des Bergues at dusk, warm interior light behind tall windows, brass plates at the door.
Team

Human judgment stays in the loop.

ogram is built by people working across epistemology, operations, and critical systems. The machine exists to preserve specialist standards, not flatten them.

Operating standard

Three disciplines, one requirement.

Language precise enough for specialised domains
Execution bounded tightly enough for live mandates
Systems robust enough for evidentiary scrutiny
Founders
Elliot Vaucher

Elliot Vaucher

Co-founder & Strategy

LinkedIn
Mandate framing

Philosophy, language, machine learning

Turns specialist reasoning into explicit operating constraints.

Martin Arnoux

Martin Arnoux

Co-founder & Operations

LinkedIn
Deployment continuity

EPFL engineer, systems and optimisation

Designs the operational surfaces that keep the system controlled under pressure.

Romain Gehrig

Romain Gehrig

Co-founder & Engineering

LinkedIn
Critical robustness

EPFL computer science, critical systems

Builds the infrastructure that makes long-running agent work auditable and stable.

Advisory layer

Trusted counterparts around the machine.

Not a symbolic board. A small circle that helps transmission, visibility, and counterpart alignment without softening the standard.

Muriel Favarger Ripert

Muriel Favarger Ripert

Visibility & Partnerships

Muriel works on the external layer of transmission: ensuring ogram reaches the right counterparts without diluting signal. She structures visibility, introductions, and partnerships with the same preference for precision over noise.

If your edge still lives in people, it needs infrastructure around it.

For principals who understand that their real asset is not process volume, but the decision architecture accumulated over years and still trapped in human heads.

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