Scenario Analysis on your Data to solve your Business Problems
ALEXIS π delivers Actionable Predictive Insights
by discovering hidden Trends and Patterns
ALEXIS One-Click Anomaly Detection
ALEXIS is a single stack software offering including – Data Lake Processor, ML Data Pre-Processor, Data Anomaly Detection, AI Anomaly Detection (preventing model poisoning), App Exchange and Business Solutions. We recognize that customers today are having to cherry pick different vendors for these different technology needs, we are delighting our customers by taking ownership of their anomaly detection problem from start to finish.
ALEXIS DLP and ADM
No code utility to create Data Lake from operational, transactional and data warehouses
No code utility to create Data Lake from operational, transactional and data warehouses - on streaming data
No code utility to process and analyze data in the data lake to create a feature identity matrix for analysis by ALEXIS AI / ML
No code utility to process and analyze data in the data lake (including unstructured data) to create a feature identity matrix for analysis by ALEXIS AI / ML
Data Anomaly Detection
ALEXIS finds Fraud, Omissions and Error in your application and enterprise data.
Fraud is the most expensive type of Anomaly. Fraud typically accounts for 50% of the Anomalies.
Alexis technology has been used for multiple years and has shown to customers that ignoring Fraud has both a one-time financial loss of revenue and impacts EBIDTA margins on a recurring basis.
Omission is one the most common types of Anomaly. Omission typically accounts for 25% of the Anomalies.
Alexis technology has been used for multiple years and has shown to customers that ignoring Omission creates significant corruption of data over time.
Error is the one of the most common types of Anomaly. Error typically accounts for 25% of the Anomalies.
Alexis technology has been used for multiple years and has shown to customers that ignoring Errors creates systemic issues - process and technology - in the company.
AI Anomaly Detection
Automatically detect when the deployed AI Model is subject to model poisoning resulting from data poisoning
Automatically detect when the deployed AI Model is drifting from its initially deployed state
AI Model Explain
Automatically provide insights into the deployed and operational AI Model to help understand causes of model poisoning or model drift
Provides a detailed insight into the features in data causing the AI Anomaly Detection in the form of Target Variable Descriptors
ALEXIS App Exchange
ALEXIS for customers of all data sizes
Select the ALEXIS "Tier" that best fits your business needs
Pricing for Customer varies based on the selection of the Alexis "Tier", which includes Products from the Alexis Software Suite, the size of Customer Data, and the type of Customer Success engagement that is required.
INDUSTRIES WE SERVE
ALEXIS is helping increase REVENUE or EBITDA Margin for Customers across multiple industries
Claims and Pharmacy Fraud
CMS Claims Fraud Detection
Digital Clinical Encounters
Assisting in Computer-Assisted Coding (CAC) and Documentation
Assisting in Precision Health
MULTIPLE PATENTS PENDING
100% Unsupervised Machine LEarning Algorithms on
100% Unlabelled Data
Alexis technology, with multiple patents pending, is the first provider of One Click Anomaly Detection business solution to multiple industries.
Alexis solution is designed for business users, unlike competitive solutions that are designed for technologists.
It is as easy as defining your Anomaly Detection problem and getting a report of Anomalies found. Then the business user acts as the human investigator to examine the Anomalies.
Other solutions require significant human intervention and the assistance in the form of data scientist for data preparation - data for training the machine learning algorithms before using the algorithms for finding Anomalies.
UnLabeled data requires no human intervention to use Alexis solution to find Anomalies.
Human investigator categorizes the discovered Anomalies as Fraud, Errors or Omissions.
Alexis is one of the innovative solutions designed and implemented using AI / ML to find Anomalies in data using Unsupervised Machine Learning technology.
Alexis solution finds Anomalies on streaming data (also known as change data capture).
The proprietary technology of Alexis enables finding Anomalies on incremental addition of data to the machine learning algorithms.
ALEXIS MLN2 Software Technology
When using ALEXIS with any new data set, whether stock market data, financial data, pharma data, biotech data, healthcare claims, insurance claims, billing and payments, application logs, cyber security events, network traffic events, ALEXIS technology is used as follows:
Enable ALEXIS MPS - ALEXIS Managed Platform Services for orchestration of ML ensemble engines
Implement ALEXIS DLP - to create data lake with longitudinal record views
Enable ALEXIS ADM - autonomous dimensions and measures modeler
Enable ALEXIS KLUSTER - proprietary ensemble engine that discovers the anomalies in the data set
Optionally Enable ALEXIS KETTLE - when need to have an ALEXIS App for streaming data
Implement ALEXIS LENS - BI framework for creating the dashboards to visualize anomalies
Regardless of the data set, the data formats, and the sparsity of data, ALEXIS uses the same set of components in an ensemble manner (utilizing more than a thousand different ML algorithms) to find and visualize the anomalies.
No-code Managed Platform Services is the orchestrator application that is used to manage (start, stop, look at logs, see run stats, enable more features) the various ALEXIS components.
No-code ensemble engine that discovers the anomalies and the specific features (measures and dimensions) causing those anomalies. Not all measures or all dimensions from a row make that row an anomaly.
Low code data lake processor technology that creates a data lake (longitudinal record view) from any data set (OLTP / OLAP) - in a matter of a couple of weeks and not man-months.
No-code ensemble engine that produces a secure executable ALEXIS APP that is used on by customer on the data set for discovering anomalies on streaming data. The ALEXIS APP is used for anomaly detection on change data capture (CDC) data sets.
No-code ensemble ML engine to classify features the data in as Dimensions and Measures. Handles partially sparse, majorly sparse, columnar sparse, data needs NLP and structured data.
A low-code BI framework for creating dashboards to visualize anomalies and have other desired reporting. ALEXIS LENS comes with basic dashboards out of the box that are customized by customers.
Request a Value Stream discovery meeting with ALEXIS Customer Success
Speak With One Of Our Experts
Our team is standing by, ready to answer your questions and help develop a plan that meets your needs. See how ALEXIS can help you take your digital transformation to the next level.
Whether you're an existing customer or someone who is interested in learning more about ALEXIS' Value Stream Management solutions, we're looking forward to talking to you.
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Empowering Customers achieve Operational Improvements
ALEXIS helps increase revenue and profitability
5% of your Operational Data has Anomalies,
and is worth 5% of your Annual Revenue