Security tools for AI Investments platform
Coordinated by
7bulls
Secured AI Investments platform using the outcome of the BIECO project.
Description
Describe the innovation content of the result:
The key innovation products will be:
Security tools for AI Investments platform using the outcome of the BIECO project.
Who will be the customer?
The customers are hedge funds, proprietary trading companies, mutual funds.
What benefit will it bring to the customers?
The AI Investments platform will be secured using the outcome of the BIECO project.
When is the expected date of achievement in the project (Mth/yr)?
At the end of the project.
When is the time to market (Mth/yr)?
At the end of the project.
What are the costs to be incurred after the project and before exploitation?
It is estimated at 10 – 20 kEUR.
What is the approximate price range of this result/price of licences?
AI Investments it depends on AuM of the investments fund, it is 1% of management fee of AuM and 10% of success fee.
What are the market size in Millions € for this result and relevant trend?
It is assumed that in the 1st year of implementation the value of funds will amount to EUR 20M and within 5 years – EUR 100M.
How will this result rank against competing products in terms of price/performance?
To our knowledge, there is no similar platform on the European market. Almost all of the successful quant funds are based outside of Europe, so our solution will be very innovative in Europe.
Who are the competitors for this result?
Advanced quant funds that use complex investing methods.
How fast and in what ways will the competition respond to this result?
Unknown at the moment
Who are the partners involved in the result?
AI Investments platform – 7bulls.com partnership with AI Investments company.
Who are the industrial partners interested in the result (partners, sponsors, etc.)?
Hedge funds, investments funds, mutual funds, proprietary trading companies.
Have you protected or will you protect this result? How? When?
IP rights for source code are reserved. The AI Investments source code will not be available publically.
Other results
Domain Specific Language
The domain specific language enables specification of digital twin behaviour in a manner that can enable a predicted evaluation of its trustworthy behaviour in a simulated environment
Fail-operation clock synchronization methodology
Synchronization loss can occur due to many reasons, either because of a device or link failure or due to a targeted attack on the reference node, which supplies the corrected time to the network’s nodes.
Time sensitive network simulation
Simulate the real time communication for the distributed based on the Time sensitive network simulation. Additionally, simulate the fail-operation clock synchronization methodology. This simulation will validate the communication stack.
Remote updating- upgrading of vehicle firmware
Securing remote and in-vehicle communications against cyber-attacks, possibly performed with quantum computers in the near future, is a major goal in the automotive sector.
Extension of the approach to the communications within the whole supply chain of the Microfactory
Once the secure communication with a vehicle has been demonstrated for remote FW update, it is straightforward to extend it to a general Service-Over-the-Air architecture and even further.
Ontology Manager Tool
Ontology Manager is a Framework responsible for managing the Core Ontology used in BIECO, called DAEMON. It aims to support organizing concepts and their relationships related to System of Systems (SoS), Internet of Things (IoT), and System Components management and Monitoring.