Research

Improving the investment using AI

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Research project at inbestMe

At inbestMe we work with academia (universities and doctorates) to achieve a self-adaptive forecasting module that will allow us to predict future values and an advanced investment tool based on machine learning and big data.

Title of the project

ADVISOR: Universal Auto-Adaptive Time Series Forecasting Framework

Description of the project

This project will research and develop an auto-adaptive forecasting module that will enable us to predict future values of a given time series with remarkably high accuracy. This software will be a completely new product in the market. It will be based on the latest most advanced artificial intelligence algorithms. It will also contain the exclusive automatic adaptation set module, which is a unique feature that is not yet available on the market. This software will accurately predict future values from time series data and can be used in a wide range of industries such as banking, financial investment, healthcare, retail, logistics, mobility and more. The software will be offered as a stand-alone product to other SMEs and various organizations who will be able to enhance their existing services and products and gain a significant competitive advantage.

Project details

Duration: 36 months
Start date: 01/10/2022
End date: 30/09/2025
Agreement No: E! 1278 ADVISOR

Partners

AI Investments, Poland http://www.aiinvestments.pl
benchANT GmbH, Germany https://benchant.com/
University of Oslo, Norway https://www.uio.no
InbestMe, Spain https://www.inbestme.com

Budget

Total project budget: 1,923,630 EUR
InbestMe total budget: 523,987 EUR
Co-financed by InbestMe: 209,594.80 EUR
inbestMe Subsidy Amount (subsidy): 314,392.20 EUR

Title of the project

AI INVESTMENTS: an advanced investment tool based on machine learning and big data

Description of the project

This project will research and develop a software platform for advanced assets portfolio optimization and risk control against unexpected events. New application will allow SMEs, retail investors, investment companies and large companies to better manage their portfolios and protect their assets and also public agencies to monitor risk of financial crisis. Thus, we aim to use most advanced achievements in machine learning (ML) field (e.g. Alpha Zero Differentiable Neural Computer etc.) to assure highest accuracy.

The main goal of the project is to deliver capabilities of most accurate assets portfolio optimization and risk control with improved long-term performance by applying the latest achievements of Artificial Intelligence (AI). The main result of the project is AI Investments (AII) software platform equipped with visualization tool to help investors take more informed decisions. It will be implemented by public agencies in order to monitor overall financial risks.

The most advanced achievements in Machine Learning (ML) field (e.g. Alpha Zero Differentiable Neural Computer etc.) will be used to assure highest accuracy platform and to improve asset optimization and risk control. Last, but not least, a very important result of this project is to train people in the new, state of the art skills in machine learning field, as well as disseminate and stimulate research in that area of the European Union.

AII platform will be offered to the SMEs, investment companies, pension funds, retail investors, large enterprises and even government agencies as a complete solution supporting their assets portfolio optimization and protection against unexpected financial events (crisis). Moreover, the AII platform will lower the entry barriers for financial technology (FinTech) startups and SMEs and provide investment and portfolio management services. This will respectively increase the competition, boost the innovation in the financial area and benefit the general public.

The consortium of this project involves 4 partners, 2 R&D performing SMEs (AII and InbestMe) and 2 universities (Ulm and Oslo). Both SMEs are active on a huge market, i.e. AI in Fintech. The consortium has a unique combination of academic and industry partners, which allows for efficient application of the latest achievements in ML It will be led and supervised by academic partners to the industry solution. Academic partners will be responsible for scientific methodology and evaluation of algorithms and methods.

Project details

Duration: 24 months
Start date: 01/06/2019
End date: 31/05/2021
Agreement No: E! 12894 AII

Partners

AI Investments, Poland http://www.aiinvestments.pl
University of ULM, Germany https://www.uni-ulm.de
University of Oslo, Norway https://www.uio.no
InbestMe, Spain https://www.inbestme.com

Budget

Total project budget: 1,227,342.19 EUR
InbestMe total budget: 320,103 EUR
Co-financed by InbestMe: 128,041.2 EUR
inbestMe Subsidy Amount (subsidy): 192,061.80 EUR