Project description
Artificial intelligence unlock insights on technical documentation
Reading through hundreds of pages of technical text to find the relevant parts can take too long. With EU-funding of the SELKOAI project, Finland-based company Selko Technologies will develop an easy-to-use tool that should allow engineers to read and qualify complex documents faster and more accurately by training their own artificial intelligence model. Experts will be able to collect all text on a discipline, topic, or a system, and export it to Excel without copy-paste. The solution will speed up documentation reading tenfold, helping companies accelerate project delivery and saving them tens of thousands of euros in project costs.
Objective
SelkoAI is the world’s first AI for engineering making your engineering team’s unique expertise scalable across massive engineering projects.
All technology, especially complex projects, is based on written technical specification documents. Processing these documents requires months of high-level expert team work in companies per project, and costs up to hundreds of thousands of euros.
SelkoAI is the first productized deep learning solution allowing engineers to train their own expert AI for technical text analysis, delivering 10X efficiency increase in simplifying project specifications in large-scale engineering projects.
SelkoAI helps companies save tens of thousands in project costs, and speed up the documentation phase, providing major competitive advantage by accelerating project delivery.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
- social sciences economics and business business and management business models
- social sciences economics and business economics production economics productivity
- social sciences sociology governance crisis management
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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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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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
SME-1 - SME instrument phase 1
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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) H2020-EIC-SMEInst-2018-2020
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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.
00180 HELSINKI
Finland
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.