The 3D FinTech Challenge, a seven week acceleration program designed to accelerate technological innovation in the financial services industry is approaching its final stage. Organised by Dassault Systèmes and hosted at Level39 in Canary Wharf for the third year running, the accelerator program has shortlisted six innovative startups for the Finals that will be held on November 3rd. For more information on the Finals, visit the 3D FinTech Challenge website.
Here is a brief profile of the 6 finalists:
CheckRecipient uses big data analytics to prevent commercially-sensitive information from being sent to the wrong person. The platform uses artificial intelligence to identify context and recipient clusters to prevent information breaches to unintended recipients. CheckRecipient allows for custom rules to be built and can be implemented without troubling the IT team.
Passfort is a compliance platform provider that helps financial services company automate the collection, verification and secure storage of customer due diligence (CDD) data and documentation. The solution helps fintech services companies with Anti-Money Laundering and Know Your Customer (KYC) regulations.
AlgoDynamix is a risk analytics company that detects disruptive events in global financial markets and anticipates price movements hours or days in advance of the event. The software provides advance warning enabling asset managers to improve portfolio metrics including lower volatility and higher risk adjusted returns.
Quarule provides scalable enterprise solutions for risk controls and compliance certification using artificial intelligence. The solution allows for coordinating governance and automating oversight programs.
Percentile delivers firm-wide risk aggregation, scenario analysis and risk data management to financial institutions. The solution allows users to spend more time doing risk management instead of handling data management issues.
6. Athena Portfolio Solutions
Athena Portfolio Solutions uses machine learning and predictive analytics to find actionable insights from news sources even when the asset name is not mentioned in the content. The system uses new metadata to learn, better identify and evaluate the new data entered into the system.
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