Geminos Causeway is an end-to-end low code platform for modeling, building and deploying Causal AI applications.
Our model-first approach helps businesses understand their problem domains in a way that can be easily communicated and refined with data scientists and domain experts.
Guided analysis and validation of the causal models helps remove issues like bias before hydrating with real data.
ETL models can be implemented to deliver instant predictions and deployable AI applications.
Model First Approach
Utilize Causal and Knowledge models to capture and communicate real-world problems and data with stakeholders
Built on Open-Source
Our enterprise-scale platform is
built on a battle-tested technology stack including Node-RED
and TypeDB
Causal Libraries
Causal ML libraries packaged as standard include MS DoWhy & EconML, CausalML plus more being added in future releases
End-to-End Solution
From model to data analysis and deployment within one platform, Causeway allows you to iterate your models and redeploy
Supports Your SDLC
Support for model reuse, project workspaces, team workspaces and integration with source code control in a flexible environment
3,800+ Integrations
Drag and drop from a library of connectors to seamlessly integrate with your data or IoT landscape
Causality Has the Answer
Thinking about the world, or more importantly your problem domain, in terms of cause and effect resolves many of the challenges faced with traditional machine learning.
Common Language
Capturing the scope of your problem domain through causal modeling provides an easy way to collaborate within your team and business. Geminos Causeway provides a multi-user platform to collaborate across the business and capture domain knowledge is a simple intuitive way.
Reduced Bias and Fair
The science of causal algebra has causal analysis and validation built in to eradicate bias. Geminos Causeway gives you access to these powerful techniques without having to worry about math.
Adaptive to Change
Because of Causeways end-to-end traceability
(model <> application), changes to the causal model can be rippled through data to the AI implementation and visa-versa. This process is facilitated through the Causeway platform.
Explainable
AI solutions built using causality are intrinsically explainable through the causal models. There is absolute traceability from each event to related data and ultimately AI functions and predictions.
Human-Centric
Rather than limiting human-machine interaction, Causal AI allows a tighter partnership and sharing of knowledge
Small or Large Datasets
Geminos Causeway can apply its discovery algorithms to only the information that matters, even small amounts of data. Coupled with human input, it can fill in gaps in data to work with any kind of dataset, big or small.
|
Features |
Causeway Research for Academic Institutes |
M O S T P O P U L A R Causeway Team for Data Science Teams |
Causeway Enterprise for Organisational Deployment |
| Multi-User Delivered as SaaS or on Public and Private Cloud |
Unlimited Users1 | 1 To 49 Users | 50+ Users |
| Deployment Accessed as a SaaS web service or deploy on your existing cloud |
Cloud2 | SaaS or Cloud2 | SaaS or Cloud2 |
| Causal Modeling Capture causal relationships, treatments, and outcomes. Abstract complexity |
✔ | ✔ | ✔ |
| Model Validation Causal model analytics. Highlighting bias |
✔ | ✔ | ✔ |
| Knowledge Modeling Link causal models to data enabling causal analysis |
✔ | ✔ | ✔ |
| Library Re-Use Share models, functions, flows with your team / organisation |
✔ | ✔ | ✔ |
| Data Connectivity Connect to multiple data sources easily, including: CSV, MS SQL, MySQL, ODBC, TensorFlow, IoT, etc. |
✔ | ✔ | ✔ |
| Deployable AI Execute models in test or production environments |
✔ | ✔ | ✔ |
| Integrations Included Free plugins available to access your stack and environments |
3,500+ | 3,500+ | 3,500+ |
| Bespoke Integrations Create your own re-usable plugins including the ability to leverage existing R Script, Python, Java, C#, etc. libraries |
✔ | ✔ | ✔ |
|
FREE unlimited research transactions |
$99 per user/month for $249 per user/month for unlimited test transactions $POA per deployment transaction |
$POA per organisation unlimited test transactions $POA per deployment transaction |
1. Unlimited research seats per faculty to allow researchers, lecturers, and students to create and share models
2. Cloud container deployments can be implemented in VMWare, AWS, GCP, IBM and Oracle. Other implementations are available, please enquire