About AgenaRisk
AgenaRisk is a risk analysis software from Agena that supports decision-making for complex, uncertain environments. It provides advanced modeling, scenario analysis, and Monte Carlo simulation so organizations can understand potential risks and their impacts. AgenaRisk enables users to visualize risk exposure, assess probabilities, and explore various outcomes based on different scenarios. The platform is designed to handle large datasets efficiently, making it suitable for various industries including finance, insurance, and energy. Key capabilities: probabilistic modeling scenario analysis Monte Carlo simulation risk visualization large dataset processing Best for: risk managers and analysts that need to evaluate and communicate risks effectively.
The agena.ai platform is a specialized solution for creating and deploying scalable Bayesian Network (BN) and causal models, allowing data scientists to deliver AI-driven applications to thousands of end-users. At its core, the 'no-code' agena.ai Modeller provides a graphical design environment running on Windows, Linux, and Macintosh, utilizing advanced algorithms like Junction Tree and Expectation Maximisation. A major strength is the software's ability to handle hybrid models (discrete and continuous variables) and perform complex analyses such as Value of Information and Sensitivity, making it invaluable for decision-making in environments with sparse data. Deployment options are extensive and highly flexible. Users can run the Modeller API (available for Java, Python, and R) locally or connect to the centralized agena.ai Cloud Service. This hosted service leverages modern architecture, including Kubernetes and Kafka, to provide computational APIs and a WebApp designer for seamless application deployment. Beyond the hosted Cloud/SaaS model, the platform also offers support for Private Cloud and Self-hosted Cloud deployment under the Enterprise+ license, ensuring maximum organizational control.
Pros & Cons
- +Allows creation of complex Bayesian and causal models without programming skills.
- +Cloud-based deployment enables scalable access to WebApps for hundreds or thousands of users.
- +API support for Java, Python, and R allows seamless integration into existing workflows.
- +Hybrid modelling handles both continuous and discrete variables for flexible decision analysis.
- +Advanced analytics capabilities including sensitivity, multivariate, and value of information analysis.
- −API usage requires programming knowledge for automation or advanced model interaction.
- −Setup for private cloud deployment can require IT resources and expertise.
- −Documentation covers usage but may not fully cover advanced modelling scenarios.
- −Academic licenses are restricted to single institutions and single users.
- −WebApp customization requires learning the UI design features.
Features
Key features
- No-code UI
- Provides a graphical interface to build Bayesian networks and causal models easily without programming.
- Hybrid modelling
- Supports both discrete and continuous variables within a single model for complex data scenarios.
- Cloud deployment
- Models developed in Agena.ai can be deployed as WebApps or APIs in the cloud for scalable use.
- WebApp designer
- Enables creation of user-facing web applications from developed models with input/output selection.
- Cloud App manager
- Manages deployment of WebApps to internet domains with access control for end users.
- API integration
- Provides Java, Python, and R APIs for local or remote model computation without GUI dependency.
- Rich visualization
- Offers charts and reports including area, line, scatter, and histogram plots, exportable as PDFs.
Additional features
- Graphical UI for model structure
- Build Bayesian network graphs with multiple node types.
- Prediction and diagnosis
- Perform probabilistic prediction, diagnosis, and causal explanation using models.
- Node types
- Supports Boolean, Continuous, Labelled, Ranked, and Discrete Real nodes.
- Evidence handling
- Enter and withdraw both soft and hard evidence during inference.
- Hybrid models
- Combines discrete and continuous variables in one model for complex scenarios.
- Statistical distributions
- Includes Normal, Triangular, Beta, Gamma, and others for node probabilities.
- Operators
- Supports NoisyOR, NoisyAND, mFROMn, arithmetic (+, -, *, /, ^), comparative, and Boolean logic.
- Analytical functions
- Sensitivity analysis, multivariate analysis, hybrid influence diagrams, value of information analysis.
- WebApp UI designer
- Load JSON model files, define inputs/outputs, group inputs, and produce charts/reports.
- Cloud API endpoints
- Supports synchronous/asynchronous computations, callbacks, polling, and authentication via tokens.
- Licensing options
- Enterprise+, Enterprise, Team, Academic with various user limits and deployment options.
Pricing
Monthly plans
Academic
GBP 1
Countries & Languages
Interface languages
Billing currencies
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About AgenaRisk
AgenaRisk is a risk analysis software from Agena that supports decision-making for complex, uncertain environments. It provides advanced modeling, scenario analysis, and Monte Carlo simulation so organizations can understand potential risks and their impacts. AgenaRisk enables users to visualize risk exposure, assess probabilities, and explore various outcomes based on different scenarios. The platform is designed to handle large datasets efficiently, making it suitable for various industries including finance, insurance, and energy. Key capabilities: probabilistic modeling scenario analysis Monte Carlo simulation risk visualization large dataset processing Best for: risk managers and analysts that need to evaluate and communicate risks effectively.
AgenaRisk Details
AgenaRisk's In-App Market Place
Does AgenaRisk have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Plans
Monthly plans
Academic
GBP 1
Accepted Payment Currencies
GBP (£)
Pros & Cons
- Allows creation of complex Bayesian and causal models without programming skills.
- Cloud-based deployment enables scalable access to WebApps for hundreds or thousands of users.
- API support for Java, Python, and R allows seamless integration into existing workflows.
- Hybrid modelling handles both continuous and discrete variables for flexible decision analysis.
- Advanced analytics capabilities including sensitivity, multivariate, and value of information analysis.
- API usage requires programming knowledge for automation or advanced model interaction.
- Setup for private cloud deployment can require IT resources and expertise.
- Documentation covers usage but may not fully cover advanced modelling scenarios.
- Academic licenses are restricted to single institutions and single users.
- WebApp customization requires learning the UI design features.
AgenaRisk's Support Options
Email Address
sales@agenarisk.comContact
+44 (0) 1223 263880AgenaRisk's Alternatives
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