EagleAI Advanced Risk and Compliance Management

About Eagle AI

We are innovative leaders in Risk and Compliance Management Solutions

We listen. We advise. We detect and protect, together. Reach a new level of insight with Advanced Risk Management Solutions. Happy customers and ongoing relationships are what we strive for. Success is measured by results, the most important being how our clients feel about their experience with us.

Fintech Experts

Over 40 years of combined Fintech experienced professionals.

Risk Management Experts

EagleAi™ catches lurking issues that were not even known for several years to exist!

Shyam Sreenivasan

CEO

Our Partners

EagleAi has partnered with major companies as our implementation and solution partners.

Our Services

Our experts with over 40 years of experience in Fintech, Risk management and Bigdata Analytics, use advanced AI and ML technology to help you reduce cost, increase profits and achieve regulatory compliances.

Enterprise Risk Management Consulting

Eagle AI Risk management consulting experts develop and provide customized solutions for an effective risk management operations.

Fraud Risk Detection with Advanced AI

Trust the power of EagleAI. The advanced AI engine powering to detect Fraud Risk in trading system prevents any known Fraudulent activities such as Spoofing, Layering and Front Running to avoid huge financial losses.

Risk Assessment Services

We are here in the fields of organizing bridging the gaps between strategy and the development to Architect the Best risk management solution customized for your business needs.

Discover how Eagle Ai’s Advanced Artificial Intelligence technologies are transforming industries with Innovative ways to Manage their business. EagleAi

Financial Services

Be it Risk Management, Fraud Detection, Non-Compliance Detection or Trading and Market Data Analytics, EagleAi ‘S Enterprise scale Solutions will Transform your Financial Services business operations, Security, Risk and Compliance Management with the Advanced tools required to avoid costly fines and penalties through Artificial Intelligence & Machine Learning data analytics..

In the financial services industry, anomaly detection models can be built around business processes such as

Bank/credit card transactions
Insurance claims
Auto Loan applications
Home mortgage applications
Fraud detections
Trading and Market risk management
Compliance risk management
Anomaly detection

Eagle AI™ allows companies to quickly integrate Anomaly detection solutions with minimal effort and disruption. Our cutting-edge anomaly detection tools can provide you with the ability to catch issues as they happen in real-time allowing proactive risk responses that were not possible before.

Manufactoring

Process anomalies and unexpected failures of manufacturing systems are some of the major issues that result in a decreased quality of process and product. Anomaly Detection is of high importance for better reliability and resiliency in the Industry 4.0 framework.

There are 3 types of anomalies in the manufacturing world:

Point Anomalies — a single data point that deviates from the rest of the data (ex. material defect)
Contextual Anomalies — abnormalities in a specific context (ex. time delay due to environmental influences)
Collective Anomalies — a collection of related data instances is anomalous relative to the entire dataset (ex. machine/tooling failure)

IOT

Due to increase in a variety of IoT devices and use of supervised, un-supervised and semi-supervised algorithms in training IoT data models, it becomes important to understand and interpret the different classes of sensors and their acceptable range of signal information.

Anomalies in the IoT system can be detected based on its types: Point-wise, Contextual or Collective.

Point-wise anomalies from individual devices are detected by stochastic descriptors and used when the evolution of the series is not predictable.
Collective anomalies can be detected by typical time series patterns such as shapes, recurring patterns or residuals from multiple IoT devices.
Contextual anomalies are detected when previous type of information or context is taken into account such as day of the week.

Healthcare

Anomaly detection in medicine is an important task – adverse events in healthcare and medical errors result in thousands of accidental deaths and over one million excess injuries each year.

Anomaly detection plays a prominent role in healthcare analytics. The application of machine learning algorithms to healthcare data can enhance patient care while also reducing healthcare worker cognitive load. These algorithms can be used to detect anomalous physiological readings, potentially leading to expedited emergency response or new knowledge about the development of a health condition.

Insurance

Predicting time-series trend is very critical to planning for Ups and Downs for the Insurance Industry. It is in-fact a critical aspect of risk management. EagleAi’s advanced time-series trend prediction engines work as a fully managed service, seamlessly on high frequency, high volume data flow and and alert in real-time if and when a tipping point would be reached.

Timely alerts from EagleAi on an impending error due to a trend it is able to predict, could save the enterprise from a huge loss and other damages.

Increase customer stickiness by providing faster and accurate analysis.
Gain access to new set of eyes with EagleAi for property analytics technology using Ai
Precise risk management to make intelligent decisions faster across critical moments.
Feedback Loops & Deep Learning which powers the enhancement of our deep learning data models.

Eagle AI - Advanced AI engine for Automated Risk management Solutions for Banks and Financial Services.

Our integrated products offer unparalleled protection and insight to reduce risks, penalties and regulatory fines, making it easy for the Risk Managers, Compliance Managers and Internal auditors with the best tools for their job.

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