Team
ogram was not born from a product intuition. It was born when three independent trajectories arrived at the same conclusion: thanks to LLMs, specialist expertise can finally be made computational.
The Convergence
Each of ogram's co-founders arrived at the same problem from a different discipline.
Epistemology and machine learning ask how knowledge is specified and becomes computational. Blockchain asks how information can be recorded securely, permanently, and in distributed form. Contract formalisation asks how tacit judgment becomes explicit and auditable structure.
Taken together, these paths do not describe separate interests. They describe the same infrastructure gap: the knowledge that makes organisations valuable remains concentrated, mortal, and largely non-computational.
ogram exists where those trajectories meet.
“Our clients have one thing in common: they have specialist expertise and need precise, verified, high-value information extracted from large volumes of complex, scattered data, whether that information lives inside their own systems or must be found in the outside world. That is what we deliver with ogram.”
The Team
Three disciplines. One shared structural intuition. The rest is execution.
Founders
How knowledge becomes computation
At the intersection of philosophy, linguistics, and machine learning. A researcher by temperament, deeply engaged with computer science, language, and systems of thought. He leads ogram's strategy with the same intellectual requirement throughout: turning fundamental research into decisive advantage for solving complex problems.
How critical knowledge outlasts its holder
EPFL engineer. Co-founder of Hodlr Swiss. Drawn to technical optimisation and functional elegance. A systems thinker, he likes to decode the mechanics of the world to extract what matters. He brings that rigor to ogram: structuring machine reasoning so informational chaos becomes clear, robust architectures built to last.
How tacit judgment becomes auditable structure
MS in Computer Science, EPFL. An expert in critical systems, he has worked at AXA and WIPO at the intersection of law and blockchain. At ogram, he is the architect of robustness: translating innovation into production infrastructure and ensuring our intelligences operate with the reliability demanded by the most constrained environments.
Founders
How knowledge becomes computation
At the intersection of philosophy, linguistics, and machine learning. A researcher by temperament, deeply engaged with computer science, language, and systems of thought. He leads ogram's strategy with the same intellectual requirement throughout: turning fundamental research into decisive advantage for solving complex problems.
How critical knowledge outlasts its holder
EPFL engineer. Co-founder of Hodlr Swiss. Drawn to technical optimisation and functional elegance. A systems thinker, he likes to decode the mechanics of the world to extract what matters. He brings that rigor to ogram: structuring machine reasoning so informational chaos becomes clear, robust architectures built to last.
How tacit judgment becomes auditable structure
MS in Computer Science, EPFL. An expert in critical systems, he has worked at AXA and WIPO at the intersection of law and blockchain. At ogram, he is the architect of robustness: translating innovation into production infrastructure and ensuring our intelligences operate with the reliability demanded by the most constrained environments.
Advisors
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.
Advisors
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.
Public Talk
A private tech talk on philosophy, machine learning, and how humans and systems reason under complexity.
Watch the talk on YouTubeFor principals who understand that their real asset is not process volume, but the decision architecture accumulated over years and still trapped in human heads.
Begin conversation