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BayesiaLab

BayesiaLab, the Software

What is BayesiaLab?

BayesiaLab is a universal analytics platform (available for Windows/Mac/Unix), which provides scientists a comprehensive “lab” environment for machine learning, knowledge modeling, diagnosis, analysis, simulation, and optimization - all based on the Bayesian network formalism.

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What is BayesiaLab's value proposition?

With BayesiaLab, Bayesian networks have become a powerful and practical paradigm for gaining a deep understanding of high-dimensional domains. BayesiaLab leverages the inherently graphical structure of Bayesian networks for exploring and explaining complex problems.

What are typical use cases of BayesiaLab?

BayesiaLab is employed for all kinds of research domains and analytics tasks. Application domains include:

Who are BayesiaLab's competitors?

There is no other software currently available that offers the same array of features as BayesiaLab in the context of the Bayesian network paradigm. So, there is no direct competitor. For instance, BayesiaLab's unsupervised learning algorithms of Bayesian network models are entirely unique.

Does BayesiaLab replace traditional statistical software packages?

We see BayesiaLab as a complementary tool with regard to more traditional, parametric statistical methods. BayesiaLab really shows its strength when it comes to complex, high-dimensional problem domains.

How long does it take to learn BayesiaLab?

After completing a the introductory 3-day BayesiaLab course, it typically takes six months to one year of practical use to become proficient in using the software platform. Embracing BayesiaLab as a research framework requires a commitment in terms of time and resources.

Can BayesiaLab handle Big Data?

BayesiaLab's data capacity is only limited by the RAM of the computer on which it is installed. All of BayesiaLab's algorithms are performed in-memory. Furthermore, BayesiaLab offers database connectivity via JDBC.

Can BayesiaLab run in the cloud?

BayesiaLab can be installed on a virtual machine, e.g. on an Amazon EC2 server. For setups, with multi-user access, the respective license fees apply.

Can the functions of BayesiaLab accessed programmatically?

The Bayesia Engine API, a Java Class, is available to perform inference on networks generated with BayesiaLab. The learning algorithms are not available via the API.

Can BayesiaLab models be exported?

Models with a target node, e.g. those generated by supervised learning algorithms, can be exported as code for SAS, PHP, JavaScript, VBA and R. This function is an optional add-on feature for BayesiaLab.

What are the licensing options for BayesiaLab?

  • Elastic Pricing ("pay-as-you-go")
  • License Rental (3 months, 6 months, 12 months)
  • Perpetual License plus Annual Maintenance

How much does BayesiaLab cost?

The most common BayesiaLab configuration is a single-user/single-machine license, which costs $10,900/year for commercial customers. For more details, please see the pricing page.

Are there any academic discounts?

Yes, a fully-featured Academic Edition is available for $700/year. Additionally, we offer a BayesiaLab Education Package, which provides an economical way of using BayesiaLab for classroom instruction.

Bayesia, the Organization

What is Bayesia?

Bayesia S.A.S.* is a French software development company, founded in 2001 by Dr. Lionel Jouffe and Dr. Paul Munteanu, which specializes in artificial intelligence technology. Lionel and Paul, along with their team of engineers and scientists, are based at the Technopole in Laval, France, roughly 200 miles west of Paris.

Bayesia's affiliates, Bayesia USA and Bayesia Singapore are the exclusive sales and marketing organizations for North America and Asia/Pacific respectively. The affiliates were founded by Kim and Stefan Conrady, an entrepreneur couple based in Tennessee.

Learn more about our story, and the people involved, in the About section of our website.

*"S.A.S." stands for "Société par actions simplifiée," which is roughly the French equivalent of an American Limited Liability Company. Bayesia is not associated with the SAS Institute, the Cary, North Carolina-based developer of analytics software.

What is Bayesia's Mission?

We promote knowledge discovering and reasoning with Bayesian networks to help companies make better decisions, regardless of what the scale of a problem is.

What are Bayesia's products?

Our flagship product is BayesiaLab, which has been under continuous development since 2001. Today, our portfolio of research software also includes:

How do you pronounce "Bayesia"?

It's quite simple, Bayesia rhymes with Asia.

Does Bayesia offer consulting services?

Our teams in the U.S., France, India, and Singapore do offer consulting services. We focus primarily on proof-of-concept projects for new or prospective BayesiaLab users. Often, we also help our customers during their first project engagement with BayesiaLab.

What is Bayesia's business model?

The revenue of Bayesia and its affiliates comes principally from software licensing fees in a B2B model. The revenue stream is augmented by training and consulting fees.

Is Bayesia seeking venture capital?

No. Bayesia and its affiliates are self-funded by the owners, debt-free and profitable. We have been pursuing a rather conservative growth path while maintaining full control over the organization's direction.

Who are Bayesia's Customers?

Please see the following list of recent clients:

Accenture
Axciom
AGC
Allstate
American Diabetic Association
American Choice Modeling

ArcelorMittal
Astellas Pharma
BBDO
Bentley University

Booz Allen Hamilton
BP
Capgemini
Cancer Care Ontario
Cargill
CDC
CFI Group
Chadwick Martin Bailey
Cisco Systems
Crédit Agricole

Dassault Aviation
Dell
Deloitte
DGA
EADS
Électricité de France
Embry-Riddle Aeronautical University
ENI
Firmenich
Fractal Analytics
France Télécom
Geisinger Health System
Georgetown University
George Washington University
GfK
GlaxoSmithKline
GroupM
Hewlett-Packard Company
Hilton
Hyatt Hotels Corporation
Indian Institute of Technology Roorkee
Indian Institute of Management Bangalore
Innovative Decisions Inc.

InterContinental Hotels Group
Ipsos
Kimberly Clark Chile S.A.

L’Oréal
La Poste
Lancaster University
Lieberman Research Worldwide
Lilly
Lockheed Martin
Louisiana State University
MAi Research
McGill University

Mead Johnson

Microsoft

Millward Brown
Multimedia University
Mu Sigma
Nanyang Technological University
Nanyang Polytechnic
NASA
National Analysts
Nestlé
Neiman Marcus
Nielsen
Nissan
NTT

Ogilvy & Mather
Omegawave, Inc.

Orange
P&G
PEMY Consulting

PSA Peugeot Citroën
Rainman Consulting
Renault
Rhodia
RTI
Rush University Medical Center

Rutgers
Saint-Gobain
Samsung
Servier
SingTel
Schlumberger-Doll Research

Smuckers
Société Générale
Sony
Starcom MediaVest
Swedish University of Agricultural Sciences
Swiss Tropical and Public Health Institute

Synovate
Team Detroit
Texas State University

The Pennsylvania State University
The Pert Group
The Martin Agency
TNS
Total
Transport Accident Commission

Turbomeca
UCLA
Unilever
University of Florida

University of Maryland
University of Southern California

University of Toronto
University of Virginia
UNMC College of Public Health

U.S. Army
U.S. Department of Agriculture

U.S. EPA
U.S. Geological Survey

U.S. Veterans Administration
Vanderbilt University
Virginia Tech
Wm. Wrigley Jr. Company