Our ambition is to provide comprehensive guidance throughout the R&D journey, facilitating the transition of required and actionable AI projects from research to development.

Hence, we foster collaboration between researchers and companies, providing comprehensive guidance throughout the process.

We are an incubator and excubator
specialized in AI-based innovation.

We provide comprehensive support to researchers and companies throughout their collaborative endeavors.

Whether you are a start-up, a manager or a researcher, we are here
to help you turn your idea into a viable and profitable project..

FOR COMPANIES

As an excubator, we offer cutting-edge expertise to companies looking to integrate AI technologies into their business.

We work with these companies to understand their specific needs and develop customized solutions to address their unique challenges.
By collaborating with Excelleria, these companies benefit from the expertise of leading researchers and entrepreneurs in our network..

FOR STARTUPS

We are an incubator that supports start-ups by providing technical and financial resources, as well as a network of mentors and strategic partners to help them grow and succeed.

We work closely with our start-ups to help them move from research to development and operational implementation of their project.

FOR RESEARCHERS

We work closely with researchers to help them transform their research into innovative, real-world solutions.

We offer them technical and financial resources as well as the expertise of our network to help them develop their projects and bring them to maturity.

OUR STRENGHTS

More than just consulting

We provide you with AI mentorship as basis, enhanced with operational capabilities and facilities such as :

  • AI deep learning platform,
  • Multiple tools-sets dedicated to AI projects we develop,
  • AI training infrastructure available for all incubated participants.

Expertise in fundraising and financial partnerships

Our experience in fundraising and financial partnerships allows us to guide startups and companies through the complex funding process, helping them navigate the requirements and standards of the investment market.

Real-world experience in software publishing and IT solutions culture

We are not just passive observers, but a true pathfinder in technical support and acting on the technical side. We are committed to action to help our customers succeed.

Research

We conduct extensive research on the latest advances in AI to ensure the relevance and quality of our programs.

The ability to provide agile solutions while having a strong technical capability

We are an agile company and have the ability to manage projects of all sizes, from raw data collection to final solution implementation. We are able to provide services equivalent to those of large companies while being as agile as smaller ones.

PROGRAMS & AVAILABLE FACILITIES

Enrollment Program – for startup projects

We offer comprehensive coaching to help startups develop their A.I. based projects. We provide resources in product development, marketing and funding to help startups succeed.

I.A Solution Finding – for established companies

We work with established companies to help them find A.I. based solutions to optimize their processes and improve their performance

A.I.FM – Facility Management and A.I. Industrialization

We offer A.I. based facility management solutions to help companies optimize their processes and improve their performance. We also work with companies to help them industrialize A.I. and integrate it into their business processes.

FOR WHICH intervention domains ?

Time series

Timeseries refers to a collection of data points that are ordered chronologically. It is used to analyze and model data that changes over time.

Machine learning techniques and predictive models are often applied to timeseries data to identify trends, make forecasts, or detect anomalies in domains such as finance, weather forecasting, and healthcare.

Data classification

Data classification is a machine learning process that involves assigning predefined labels or categories to data examples.

The goal is to develop a model capable of classifying new, unlabeled data based on the patterns learned from a training dataset.
Data classification is widely used in various domains, such as image recognition, spam detection, and sentiment analysis.

deep learning

Deep learning is a branch of artificial intelligence that relies on deep artificial neural networks to perform machine learning tasks.
Deep neural networks can learn hierarchically from unstructured or raw data, identifying complex patterns and features.

Deep learning has made significant advancements in recent years, particularly in domains such as computer vision, natural language processing, and speech recognition.

Transformers

Transformers are a neural network architecture introduced in the field of natural language processing. They have revolutionized many AI areas by enabling significant advances in text generation, machine translation, and language understanding.

Transformers use attention mechanisms to capture contextual relationships between words or entities in a sequence, effectively modeling long-range dependencies.