C360 AI solutions for finance helps financing companiesknow about credit card frauds,illegal transactions, Managing Risk, QuantitativeTrading and Personalized Banking.


Smart Trading, Wealth Management, and Investment Banking

Enabling predictive analyticssoftware that wouldessentially predict which stocks willyield the highest return. The software would run throughthousands of stocks at onceand correlate certain data points among them to positivestock returns, thus freeing up achartist’s time for higher-value tasks.

Digitizing Paper Documents

Employees at banks and insurance firms could scanpaper documents into PDFs andupload them to the document digitization software.C360 machine vision algorithm couldthen run through the PDFs and “read” what they say,populating fields on a digitalversion of the document with the words in the PDF.

Searching Through Large Databases of Documents

Implementing Document search and data mining approachesare broad functions thatcould help employees at banks, insurance firms, andcredit card companies in a varietyof ways.


Enabling of Underwriting approaches into Banks andinsurance firms could use a widevariety of machine learning approaches to gauge whetheror not an applicant is likely topay back their loan or to determine how much theirpremium should be

Credit Scoring

Capable of integrating AI-based credit scoring software into bank applications could be helpful for loan applicants that lack a credit history but otherwise behave in ways that indicate a high likelihood of paying back their loan or paying off their credit cards on time

Use Cases


Financial Monitoring

Machine learning algorithms can be used to enhance network security significantly. Data scientists are always working on training systems to detect flags such as money laundering techniques, which can be prevented by financial monitoring.


Secure Transactions

Machine Learning algorithms are excellent at detecting transactional frauds by analyzing millions of data points that tend to go unnoticed by humans. Further, ML also reduces the number of false rejections and helps improve the precision of real-time approvals.


Risk Management

Using machine learning techniques, banks and financial institutions can significantly lower the risk levels by analyzing a massive volume of data sources..

Case Studies

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