Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Disruptive AI project management solution to drastically reduce the costs & risks of European large-scale construction projects

Periodic Reporting for period 1 - Lili.AI (Disruptive AI project management solution to drastically reduce the costs & risks of European large-scale construction projects)

Reporting period: 2022-06-01 to 2023-08-31

Introducing Lili.AI: Revolutionizing Project Management with Cutting-Edge AI

Lili.AI is a groundbreaking project management solution that leverages cutting-edge AI technology to help organizations successfully execute large-scale projects with budgets exceeding €100 million. These projects span various sectors, including infrastructure construction, engineering, waste management, and more, all of which play a pivotal role in promoting social and economic prosperity across Europe.

At its core, Lili.AI combines state-of-the-art AI models, pre-trained on real-world data from extensive project management endeavors, with award-winning natural language processing technology. This powerful combination enables Lili.AI to extract valuable insights from unstructured textual data sources such as emails, meeting minutes, correspondence, and progress reports.

One noteworthy application of our technology is its effectiveness in claims litigation. With the EIC accelerator grant, we are actively conducting trials of the Lili. Monitor technology which analyzes text data in real-time and within on-premise environment. This innovative approach addresses a longstanding challenge faced by organizations: the difficulty of detecting and addressing issues at an early stage. Delayed problem identification often results in the exacerbation of issues and substantial financial penalties, with the average claim amounting to approximately €54 million, according to Arcadis.

In summary, Lili.AI represents a cutting-edge technological solution that not only advances the field of project management but also promises to have a profound societal impact by helping organizations execute critical projects more efficiently, thereby contributing to the overall prosperity of Europe.
Lili.AI assist in robustifying our industrials margins by reducing exposure to claims: with better documented claims and also with early detection of weak signals.
During this first reporting period, we have been focused on turning our preexisting technology into big data and portable architecture.
We work around:
- weak signal solution industrialisation: big data setup stack, cybersecurity and privacy, portable architecture and multicloud deployment, data ingestion and integration, distributed ML/NLP pipeline, active machine learning and packaging our pre-existing technology.
- Efficient deep learning algorithms for information extraction and knowledge graph: visualisation and interactive interfaces, enhancing our semantic search and claim generation.

Progress Update: Advancing Lili.AI's Technology in the First Reporting Period

In this 1st reporting period, our primary focus was the transformation of our existing technology into a robust big data and portable architecture. This strategic undertaking encompasses several key areas that are pivotal to our project's success:

Industrializing the Weak Signal Solution: This involves establishing a comprehensive big data setup stack, ensuring robust cybersecurity and privacy measures, designing a portable architecture that supports multicloud deployment, optimizing data ingestion and integration processes, and developing a distributed machine learning and natural language processing (ML/NLP) pipeline. These efforts aim to fortify the foundation of our technology.

Efficient Deep Learning Algorithms: Another key aspect of our work during this period revolves around the development and refinement of efficient deep learning algorithms. These algorithms play a crucial role in information extraction and the creation of knowledge graphs. Additionally, we worked on enhancing the visualizations and interactive interfaces within our system, thereby improving the user experience. Furthermore, we are actively working on augmenting our semantic search capabilities using large language models within an active learning framework. We are also optimizing the generation of claims using predefined templates.
One of the hallmark achievements of our project is the transformation of real-time project document dataflows into machine learning-ready datasets through our robust ML pipeline. By efficiently converting complex project documents into structured datasets, and using active learning, we ensure that our AI continually refines its understanding and performance over time.

Moreover, what truly distinguishes Lili.AI is the personalized guidance it provides to users throughout the entire process of generating claim and of weak signals monitoring. Our specialized AI acts as a knowledgeable partner, offering insights, recommendations, and step-by-step assistance.
My booklet 0 0