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

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.

Keywords

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Programme(s)

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Topic(s)

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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.

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.

(opens in new window) HORIZON-EIC-2021-ACCELERATOROPEN-01

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Coordinator

LILI.AI
Net EU contribution

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.

€ 2 591 603,88
Address
2 BIS RUE ALFRED NOBEL
77420 Champs Sur Marne
France

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Ile-de-France Ile-de-France Seine-et-Marne
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

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.

€ 3 702 291,25
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