SoftCo: Enterprise Invoice and P2P Automation Software
For companies that process over 20,000 invoices per year
SoftCo Accounts Payable Automation processes all PO and non-PO supplier invoices electronically from capture and matching through to invoice approval and query management. SoftCoAP delivers unparalleled touchless automation by embedding AI across matching, coding, routing, and exception handling to minimize the number of supplier invoices requiring manual intervention. The result is 89% processing savings, supported by a context-aware AI Assistant that helps users understand exceptions, answer questions, and take the right action faster.
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Failed Payment Recovery for Subscription Businesses
For subscription companies searching for a failed payment recovery solution to grow revenue, and retain customers.
FlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
D-Cog (Declarative-Cognition) is a Java based framework for training software components (reusable, object-oriented, interface-driven components). Instead of programmed, software components are trained by example to get the expected results.
Lightweight backpropagation neural network in C++. The project provides a class implementing a feedforward neural network, and a class for easily train it. It is highly customizable to manage your problem and comes with a simple graphical interface.
JResolution is a simple, flexible, easily-maintained Java program for resolution-theorem proving which allows re-configurations for the various restrictions of the resolution-rule as determined by an (expert) user.
The Most Powerful Software Platform for EHSQ and ESG Management
Addresses the needs of small businesses and large global organizations with thousands of users in multiple locations.
Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
MIC* comes with a new vision of multi-agent system engineering: The multi-agent system is devided explicitly into two dimensions: the deployment environment and the autonomous agents. MIC* is an algebraic model of a deployment environment (container of a
This is a prolog-like programming language based on the fuzzy logic. It includes the class-libraries for fuzzy logic, probability theory and method of resolution, all made in C++. Java releases possible in the future.
neuralnetgen is intended to be a universal neural net generator that receives a neural net description (on Neural Net Description Language, also developed on this project) and generates ANSI C code of a library that implements it.
An Java artificial intelligence platform comprising common AI tools (neural networks, genetic algorithms, wavelets, etc...) and examples. The platform focuses on ease of use and ease of integration..
mbFuzzIT enables the work with Fuzzy technology (fuzzy inference / fuzzy logic) in Java.
In order to facilitate the creation of the inference mechanisms, mbFuzzIT containts a visual editor.
Our new software release will dramatically improve your medspa business performance while enhancing the customer experience
AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
Kandid generates images using genetic algorithms. In a simulated evolution surprising images can be found calculated with Lisp expressions, Textures, Iterated Function Systems, Linear Cellular Automata, Voroni diagrams, Lindenmayer Systems and POVray
Java/XML toolkit for research using Bayesian networks and other graphical models of probability (exact and approximate inference, structure learning, etc.)
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.
Anarchonomy is a Java application simulating AI agent based production, consumption, trade and force with a minimum of economic assumptions, letting users create and change their own rule and scenario sets.
Computational modelling is a interdisciplinary field spanning many techniques and programming languages. AgenTools is a project dedicated to establishing increased modularity in scientific computing packages and a portal linking to other existing project
The evocomp software models complex systems via novel mathematical and computational models informed by biological metaphors, with the aim of designing and controlling complex systems.
Modernizing the sentential and predicate logic programs, Bertie and Twootie, by cleaning up the code, rewritting the code to conform to the standard Pascal defination, and developing a graphical user interface for both X and MS Windows.
Csolve is a constraint solver compiler. It compiles a set
of constraints into an arc-consistency algorithm.
Generated output is in the C language and can be linked
with existing code. Csolve
also contains libraries for standard instantiation method
HmmSDK is a hidden Markov model (HMM) software development kit written in Java. It consists of core library of HMM functions (Forward-backward, Viterbi, and Baum-Welch algorithms) and toolkits for application development.
SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.
A java based neural network framework. The Auratus network is built around an XML messaging system, allowing for a complete MVC design. Additionally, Auratus networks are constructed and at the node/edge level, allowing for advanced topologies.
Emily is a friendly name for the Machine Learning Environment (MLE). This project is at an early stage of development, and no alpha code is yet available.