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Description
Our Quantitative Risk Assessment enables you to evaluate risks based on their actual business implications, thereby enhancing resource allocation and safeguarding the future of your organization. Enhance your routine IT risk management efforts with an AI-driven IT risk analyst that assists in prioritizing, investigating, and reporting on various risk scenarios. We empower cyber risk managers to facilitate growth by aligning your business goals with your risk appetite. Our methodology guarantees effective risk communication throughout every level of your organization, fostering a collaborative atmosphere that promotes teamwork and synergy among diverse teams. Allow our AI to handle the complex tasks for you. We streamline and analyze your data in advance, delivering actionable insights that let you concentrate on your most critical objectives. This capability ensures prompt action in response to urgent incidents, preventing potential losses and moving your organization forward with assurance. Ultimately, our innovative approach transforms risk management into a strategic advantage.
Description
Incorporate optimization and simulation models into your desktop, web, or mobile applications effortlessly by utilizing consistent high-level objects such as Problem, Solver, Variable, and Function, along with their respective collections, properties, and methods across various programming languages. This uniformity extends to a standardized object-oriented API that is accessible remotely via Web Services WS-* standards for clients using languages like PHP, JavaScript, and C#. Additionally, procedural languages are able to invoke traditional calls that align intuitively with the properties and methods of the object-oriented API. The suite of optimization techniques available encompasses linear and quadratic programming, mixed-integer programming, smooth nonlinear optimization, as well as global optimization and non-smooth evolutionary and tabu search methodologies. Furthermore, premier optimization tools from Gurobi™, XPRESS™, and MOSEK™ for handling linear, quadratic, and conic models, along with KNITRO™, SQP, and GRG methods for nonlinear challenges, can be seamlessly integrated into the Solver SDK. You can also effortlessly generate a sparse DoubleMatrix object containing an impressive 1 million rows and columns, making it easier to handle large datasets. This flexibility in creating and managing complex optimization problems allows developers to tailor solutions that meet specific application needs efficiently.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$2495 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bitahoy
Founded
2021
Country
Germnay
Website
www.bitahoy.com
Vendor Details
Company Name
Frontline Systems
Website
www.solver.com/solver-sdk-platform
Product Features
Product Features
Risk Management
Alerts/Notifications
Auditing
Business Process Control
Compliance Management
Corrective Actions (CAPA)
Dashboard
Exceptions Management
IT Risk Management
Internal Controls Management
Legal Risk Management
Mobile Access
Operational Risk Management
Predictive Analytics
Reputation Risk Management
Response Management
Risk Assessment
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling