Finance

Presently, AI and machine learning are strongly impacting the financial sector and the ever-changing markets. There are many applications of AI in finance, some catering to small economies and others the large ones.

Our team at AnuBrain is adept at creating systematic machine learning models that streamline and optimise financial processes. With our expertise, we aim to develop solutions for credit decisions, quantitative trading, banking fraud detection, financial risk management, etc.

Insurance

The AI and machine learning models are capable of analysing the risk profile of people and suggesting a suitable insurance plan for them.

Also, ML algorithms are widely used in claim processing, as they can handle huge data and process it to detect fraudulent, incomplete, and unacceptable claims.

Thus, AI and machine learning have made the insurance process fast and hassle-free.

Banking System

AI in finance has given us the smart banking ecosystem, which makes it easy and convenient for people to handle their money.

Machine learning algorithms use financial data to learn and generate actionable insights. They reduce the workload of bank staff by automating iterative tasks such as invoice generation.

Besides this, AI is also useful for hyper-personalization, risk management, and customer support in the banking space.

Loan Processing

Making credit decisions is quite crucial in the finance industry. A person’s credit history has to be analyzed for approving loans and credit cards.

Artificial intelligence has enabled financial institutions such as banks and credit lenders to make more profitable, accurate, and fast credit decisions.

AI in finance utilizes a variety of factors to identify undeserving borrowers and prevent approval of credit for them. Thus, it has improved loan processing, risk management and credit assessment.

Trading Algorithms

The true power of AI and machine learning in finance can be witnessed in quantitative trading. ML models discover patterns from large datasets that are used to make calculated and tactical trading decisions.

In fact, automatic trading (buying and selling of stocks) is possible by closely monitoring the trade results and detecting patterns in real-time. This also includes monitoring latest information from SEC, press releases, etc.

We Think Critically & Develop Creatively

Cyber Attack
Prevention

Another major threat to the finance industry is cyberattacks, where hackers try to invade the banking systems and transfer heavy amounts to unidentified accounts. Using AI and machine learning, normal data patterns can be monitored.

Stock Market
Predictions

The ML model analyzes measurable data from stock market activities, such as stock prices, historical returns, and volume of historical trades. Then, it identifies trading signals and captures the movement patterns of the stock market.

Financial
Fraud Prevention

Fraudulent activities can take place during money transfers, bill payments, cheque deposits, stock trading, and other financial movements. AI for finance is therefore useful for making online transactions safe and secure.

Financial
Advisory

AI-powered virtual assistants and chatbots for the finance industry continuously monitor a person's financial information such as transactions, expenditures, and savings. Based on the data, they can offer insights and even create customised investment plans for people.

Our Services

We Strive To Make Al Work For You

AnuBrain specializes in delivering end-to-end data-driven application development with cutting- edge technologies such as machine learning, deep learning, computer vision, natural language processing, IoT, and blockchain. Our team can assist you with various business needs and give you peace of mind even when you entrust us with your most critical ones.