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Best in class Deep Learning Predictive Model

Project description

A pioneering predictive model has numerous use cases

Predicting what might happen in the future and with what certainty or margin of error is not only intriguing on a personal level but also highly beneficial when it comes to business. The Italian SME HPA has developed a predictive analytics service to be marketed as a forecast-as-a-service model, which outperforms most competitors in speed and accuracy. Based on cutting-edge deep learning algorithms, its flexibility will be highlighted by application in the energy, technology and media forecasting domains. The EU-funded BEYOND project is helping the team optimise the technology and prepare it for commercialisation.

Objective

HPA S.r.l. has reimagined the way predictive analytics services are made today, with a new Forecast-as-a Service model, based on cutting-edge deep learning algorithms that proved wide applicability in multiple vertical industries.
After validating the problem/solution fit, HPA has engaged 3 prospects in the Energy, Technology and Media forecasting domains to prepare some Proofs of Concept and benchmark the solution. It’s also worth pointing out that no similar tools exist in the case of the second and the third verticalizations.
The novelty of this solution consists of the following unique selling points:
1.BEYOND predictive models outperforms most used competitor solutions in terms of accuracy (on average, 5% of error against 12-38% of errors by competitors) and speed. An early adopter of BEYOND operating in the energy trading market, demonstrated that increased accuracy provided by our model can result in a yearly operating margin increase of at least €120.000.
2.BEYOND will overcome adoption and usage barriers for many businesses providing easy-to-use models that require little knowledge from users with different skill levels from beginners to experienced analysts.
3.As a Forecast-as-a Service model, BEYOND will be offered with a flexible pricing strategy that will allow installation costs drop in a range between 50 to 90 % and long term costs decrease by a minimum of 10% up to more than 70%.
Thanks to the SME Phase1 funding, HPA will be able to: a) finalize the Minimum Viable Product (i.e. development of programming language custom libraries, output formats and integration of third-party datasets); b) design the web application; c) assessment of more industry verticalizations and the search of corresponding prospects; d) set-up a massive promotional/communication plan to reach the global market during the Phase 2.
With a SME Phase 2 funding we will be able to massively market BEYOND, reaching a € 10MLN turnover and 26 jobs by 2023.

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Programme(s)

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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.

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.

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.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

HPA SRL
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.

€ 50 000,00
Address
VIA DOGANA 1
38122 TRENTO
Italy

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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
Nord-Est Provincia Autonoma di Trento Trento
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
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.

€ 71 429,00
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