ABOUT US?

FAST, ACCURATE & EFFICIENT

Since the beginning in 2016, PEACOCK has an unique corporate model: work with students.

Our engineers are all working towards a Master or Doctoral degree at the EPFL in Switzerland or l’X, École Polytechnique in France. We put small teams of graduate engineering students on your project, which allows us to offer you competitive prices matching the highest standards. PEACOCK’s creativity comes from their immersion in studies which heavily involve machine learning. You’ll be amazed by our team of graduate students.

Our requirements: theoretical physics knowledge, multiple programming languages skills, and machine learning-oriented master.

The PEACOCK Team

Indiana

Indiana

CEO

Physics

Lucas

Lucas

Innovation Manager

Physics

Alexandre

Alexandre

Swiss Division Manager

Physics

Jean

Jean

R&D Manager

Computer Sci. & Eng.

Jean Baptiste

Jean Baptiste

Financial Manager

Mathematics

Yann

Yann

UNIGE

PhD Physics

Machine Learning for Physical Systems Modeling

 

Jalil

Jalil

EPFL

MA Data Science

Machine Learning for Communication Systems

Géraldine

Géraldine

EPFL

MA Physics

Machine Learning for CERN Particle Physics Laboratory

Charles

Charles

EPFL

MA Physics

Machine Learning for Financial Engineering

Corentin

Corentin

EPFL

MA Physics

Machine Learning for Fluid Mechanics

Simon

Simon

EPFL

MA Physics

Theoretical Physics

Marc

Marc

EPFL

MA Data Science

Machine Learning for Bio-Engineering

Xabier

Xabier

EPFL

MA Physics

Machine Learning for Physical Systems Modeling

Mariam

Mariam

EPFL

MA Life Science

Applied Data Analysis

Niels

Niels

EPFL

MA Physics

Control Systems Engineering

Saibo

Saibo

EPFL

MA Electrical Eng.

Data Science and Systems

Théodore

Théodore

EPFL

MA Physics

Machine Learning for Financial Engineering

Willy

Willy

EPFL

MA Physics

Quantum Technologies

Nathan

Nathan

EPFL

MA Physics

Quantum Computing

Léo

Léo

ETHZ

MA Physics

Deep Learning Engineering

Matthieu

Matthieu

EPFL

MA Life Science

Machine Learning for Bio-Engineering

Adrien

Adrien

EPFL

MA Physics

Machine Learning for Biophysics

Jeremy

Jeremy

ETHZ

MA Physics

Deep Learning Engineering

Alicia

Alicia

HEC Lausanne

MA HEC

Business Developer

Karolina

Karolina

UNIL

MA Law

Legal Advisor

PEACOCK is always growing!

You want to join the team?

School

Actual Studies

6 + 9 =

How will Machine Learning improve your Supply Chain Management?

  Nowadays, companies have no choice but to implement Machine Learning solutions in almost every part of their processes. This fact seems even clearer on markets where fierce competition reigns. Although Machine Learning does not redefine the company, it is...

Social Natural Language Processing : The Future of Marketing

SENTIMENT ANALYSIS Why is sentiment a useful way to advertise a product ? John Maynard Keynes was one of the firsts to incorporate sentiment, or, in his own words “animal spirits” (Keynes, 1936), into the financial markets, and is considered to be a pioneer in the...

Machine Learning, Artificial Intelligence, and Business: What are your opportunities?

THE LANGUAGE OF TECH Machine learning is soon becoming a stale buzzword, after making the rounds in the mainstream media. Now, artificial intelligence is quickly replacing it as the go-to tech goal for forward-minded companies, hoping to implement robust forecasting....

Is the quantum world real?

THE QUANTUM SUCCESS Quantum physics, the field in physics concerned with the behaviour of very small scale systems, has been so far, in many respects, a commendable success, finding many engineering applications, and refining our current knowledge of the fundamental...

Two birds with one stone: the Deutsch algorithm

Since the advent of quantum computing, there has been a certain shift on the perception of how we treat data. Quantum algorithms, in a sense, may allow to bypass some value-checking we may label as essential. Two quantum phenomena mainly form the basis of this logical...

The great debate about falsifiability

On the first of April 2015 was published a quite humourous pamphlet1, touching the very serious topic of falsifiability in physics research. It expanded lightly upon a topic which, fundamentally, is part of the essence of research. In the paper, named somewhat...

Finding the physical laws of sociology

In broad terms, a physicist aims to describe nature using the language of mathematics. Such a process has worked consistently for natural processes, including among others, the poster child of examples, the dynamics of planets, which can be described almost without...

Computers making art and procedural generation

With computer power steadily rising with time, and coding becoming a widespread skill, a peculiar hobby has spawned communities around the internet. Generative design, or creative coding, or how to make a computer create, is a subfield of procedural generation, which...