Project description
AI techniques improve project management
Back in 2015, machine translation and the virtual assistant were in their infancy. Artificial intelligence (AI) has advanced in leaps and strides since then. A multidisciplinary team has developed techniques to improve the financial and operational performances of large-scale projects like infrastructure construction, engineering and waste management. It combines unique AI models trained on real-life large-scale project management data with natural language-processing technology. It also extracts actionable insights from textual unstructured data sets like emails, meeting minutes, memos and reports. The European Research Council-funded project Lili.AI will test the solution to register weak signals received through real-time monitoring of project documentation.
Objective
Lili.AI is a breakthrough AI project management solution for organizations executing large-scale (250M+ budget) projects in infrastructure construction, engineering, waste management & other industries.
Lili.AI combines unique AI models trained on real-life large-scale project management data with award-winning natural language processing technology. It extracts actionable insights from textual unstructured datasets emails, meeting minutes, memos, reports, etc. Our TRL6 tech has proven successful in claims litigation with Lynkea; we are currently trialling the advanced prototype with NGE.
At TRL9 our solution will register weak signals received through real-time monitoring of project documentation. It will address organizations inability to detect & address problems early, which leads to their aggravation & costly penalties (average claim is ~54M globally, according to Arcadis). Lili.AI will help them avoid such expensive delays/failures.
Fields of science (EuroSciVoc)
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.1 - The European Innovation Council (EIC)
MAIN PROGRAMME
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HORIZON.3.1.2 - The Accelerator
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIC-2021-ACCELERATOROPEN-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
77420 Champs Sur Marne
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.