Objective
True AI Ltd is an SME operating within the field of Artificial Intelligence (AI) software. True AI automates text-based customer support (social media, email and web chat), leveraging novel AI techniques.
Over €303bn per annum is spent globally on delivering customer service, of which €76bn is considered a failed investment as customers abandon their purchases. Despite significant expenditure, companies find that service times remain long, consumer frustration levels high, and many queries are unsolved.
Self-funding & private investment have allowed True AI to prototype TRACS, an intelligent Text Response Automation Customer Support tool. TRACS enhances the customer service agent by suggesting answers to incoming questions, saving 34% of agent time. TRACS improves operational efficiency and enhances customer experience and consumer satisfaction.
TRACS development was made possible by significant in-house R&D in AI Software and Deep Learning techniques. TRACS learns automatically from previous conversations and constantly improves in its ability to provide suggestions. Agent assistance from TRACS will be prompt and accurate, based upon best practice sourced from historical conversations between consumers and support agents.
TRACS can be easily implemented into existing IT infrastructure with low set up and maintenance costs for the Service Provider. The Cloud based, SaaS delivery model ensures a cost effective, flexible and easily maintainable solution.
Our Phase 1 project includes Pilot Tests within a Client Working Group, forming a Technical Specification and Commercial Plan providing a foundation for a Phase 2 application.
Full commercialization is projected to result in revenues of €31m, profits of €19m, and 70 FTEs after 5 years. The commercial success of TRACS will position True AI among the European leaders in AI customer support and will benefit European businesses with reduced costs and the potential reshoring of support centres to the EU.
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 artificial intelligence
- natural sciences computer and information sciences software
- natural sciences computer and information sciences internet
- 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.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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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-SMEInst-2016-2017
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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.
EC2A 4BX LONDON
United Kingdom
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.