Objective
botconnect is a cloud software application (SaaS) which integrates into the existing enterprise information architecture to augment human capabilities. botconnect defines the optimum next-best-action for every individual customer by combining collaborative filtering with a deep learning neural network that interacts with the human e.g. the account managers or customer service agents via chat and voice in natural speech at their desk or mobile.
After successfully piloting the second prototype version of botconnect’s solution with AXA, the team is able to confirm the capability of its breakthrough product to open up new markets worldwide with the potential for rapid and sustained growth. Considering the immense potential of artificial intelligence, the application in an innovative and productive manner in the enterprise field now creates the business opportunity to introduce botconnect to a broad market.
By pursuing the present feasibility study, the management team aims to improve its understanding of the present international market conditions and the associated risks that need to be considered as the company develops a deeper business plan for rolling out and scaling up botconnect’s first product as a marketable innovative solution. SME Instrument Phase-1 and Phase-2 would be extremely beneficial in helping the company accelerate the development and market penetration in target segments, boosting the company’s growth to over 200 employees and €26m in revenue by 2022, in accordance with the company’s mission plan.
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.
- natural sciences computer and information sciences internet
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- natural sciences computer and information sciences software software applications
- natural sciences computer and information sciences artificial intelligence computational intelligence
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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.
10405 BERLIN
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.