Objective
In the digital age the online channel is very important for lead generation: that is why chat-bots and Virtual Digital Assistants can become one of the most important channels. Chat-bots and VDAs are platforms that simulate a real conversation with users in written or spoken form by using artificial intelligence. Most of the available chat-bot platforms are limited in text, written and voice recognition. If they are not supported by AI, they are not able to identify the context and to remember conversations. Additionally, most platforms support a limited number of conversation domains. Platforms supporting custom domains, coming with high additional costs, require a lot of training data like chat logs, which are often not present or not sufficient. OmniBot is an Artificial Intelligence and Natural Language Processing Bot platform for designing and integrating Virtual Assistants. Through the use of the OmniBot platform components, OEMs and end customers can quickly start with simple limited task bots for initial functional deployments and evolve to more complex, conversational, voice enabled multi-task bots and virtual assistance. OmniBot provides a complete SDK providing all documentation, tools, templates and libraries for multiple platforms required for building and integrating scalable enterprise ready virtual assistants: this speeds up the bot integration process and reduces costs and complexity while increasing productivity and quality.
OmniBot seeks funding to conduct a feasibility study to prove technical and commercial viability, conducting an analytical exercise to position the product. The objective is to test the economic viability of the platform among a larger pool of potential clients (user -acceptance), and to assess if the chosen commercialization approach will be conducive of the projected growth on the European level.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences data science natural language processing
- social sciences economics and business economics production economics productivity
- natural sciences biological sciences ecology ecosystems
- natural sciences computer and information sciences artificial intelligence machine 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
See all projects funded under this callCoordinator
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.
26129 OLDENBURG
Germany
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.