Cadea

What is Cadea?

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.

Who created Cadea?

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.

What is Cadea used for?

• Creation, management, and monitoring of chatbots
• Interpretation and answering of questions based on internal documentation
• End-to-end data security and role-based access control
• Integration with Azure OpenAI for secure API integration
• On-premise solutions for sectors like Finance, Healthcare, and Defense
• Dashboard and monitoring solutions for anomaly detection, audit trails, and compliance
• Role-Based Access Control provision on vector stores like Qdrant and Weaviate
• Asset in business information management such as in the hiring process
• Observability & Metrics
• Multiplayer ChatGPT for secure real-time chat
• Creation, management, and monitoring of chatbots interpreting and answering questions based on internal documentation
• Comprehensive AI tools with end-to-end data security and role-based access control
• On-premise solutions for Finance, Healthcare, and Defense sectors
• Dashboards and monitoring solutions for anomaly detection, audit trails, and compliance
• Hiring process optimization through data location and summarization for the team
• Input validation for protection against Prompt Injection and Jailbreaking attacks
• PII masking and output validation for brand safety and filtering malicious content
• Secure interaction with AI models to protect against AI threats
• Access controls leveraging end-user identity to restrict AI model content visibility

Who is Cadea for?

• Finance
• Healthcare
• Defense

How to use Cadea?

To use Cadea effectively, follow these steps:

1. Deploy Secure Collaborative AI: Utilize Cadea for developing GenAI solutions within secure workspaces, safeguarding against vulnerabilities and breaches.
2. Data Access Controls: Implement end user identity to control AI model access to specific content, ensuring security.
3. Integrate Identity Providers: Employ providers like Okta, Azure AD, and OneLogin for account provisioning and managing AI application access.
4. Multi-Cloud and On-Premise Support: Benefit from cloud deployment options in AWS, GCP, and Azure, as well as on-premise deployment for sectors with high security demands.
5. Secure AI Interface: Safely interact with AI models by validating inputs, masking PII, and validating outputs.
6. Role-Based Access Control (RBAC): Implement RBAC for secure, role-specific data access, enhancing data privacy.
7. Observability & Metrics: Monitor and track Cadea usage within your organization through detailed metrics.
8. Integrated Identity: Integrate with identity providers like OKTA, Azure AD, and OneLogin for Single Sign-on (SSO) and access management.
9. Multiplayer ChatGPT: Utilize this feature for secure real-time team-specific chats, promoting collaboration.
10. Quick Deployment: Deploy Cadea swiftly through cloud services like AWS, GCP, and Azure, seamlessly integrating into existing infrastructures.

By following these steps, users can effectively leverage Cadea for secure AI development and deployment in their organizations.