Cadea is an AI tool designed to provide secure, enterprise-level AI solutions with a focus on creating, managing, and monitoring chatbots. It offers end-to-end data security, role-based access control, and integrates with Azure OpenAI for secure API integration. Cadea is building on-premise solutions for sectors like Finance, Healthcare, and Defense and provides dashboards for monitoring, anomaly detection, and compliance. It aims to simplify AI applications, enhance collaboration, and ensure brand safety through features like input validation, PII masking, and output validation.
Cadea was created by Symbiosis Labs, Inc. The company's vision is to shape the future of work by enabling effortless collaboration, thriving ideas, and increased productivity through secure and efficient AI tools. The platform focuses on making teamwork easier and smarter, bringing the power of AI into team chats and meetings to enhance decision-making and information exchange. Cadea was launched on March 29, 2023.
To use Cadea effectively, follow these steps:
By following these steps, users can effectively leverage Cadea for secure AI development and deployment in their organizations.
The integration with Azure OpenAI is quite robust, allowing for secure API connections. This feature has improved our chatbot's capabilities significantly.
The user interface feels a bit clunky, and the learning curve for new users can be steep.
Cadea helps us manage compliance more effectively, especially in the finance sector where data security is paramount. However, the setup process was longer than expected.
I appreciate the end-to-end data security features, which make me feel confident in deploying chatbots in sensitive environments.
The documentation could be more comprehensive. Sometimes, troubleshooting requires reaching out to support, which can be slow.
Cadea addresses the challenge of ensuring brand safety through features like PII masking, making it easier to comply with regulations.
The anomaly detection feature is quite impressive, helping us monitor chatbots effectively.
Unfortunately, I found the system to be quite slow at times, especially when handling large datasets.
It helps us monitor chatbot interactions for compliance issues, but the performance lag can hinder timely responses.