Cape Privacy

What is Cape Privacy?

Cape Privacy is a platform that values privacy by default and integrates AI technology to offer various functionalities such as agentic workflows, AI-powered knowledge retrieval, and a chat interface called CapeChat. The company emphasizes key values including trust, innovation with purpose, collaboration, ethical conduct, and user success. Cape Privacy aims to provide solutions that prioritize data privacy, offer features like automatic encryption, redaction of confidential information, powerful language models, OCR capabilities, voice capabilities, NDA features, secure enclaves, and workflow automation. The platform also supports on-premise or VPC deployment, ensuring secure access to public and private LLMs, and enabling users to support their own models and connectors.

Who created Cape Privacy?

Cape Privacy was created by a team led by Matt Turck. The company was launched on June 18, 2024, with a focus on providing data privacy solutions through its platform. Cape's values revolve around respect, collaboration, trust, and ethical conduct in promoting data privacy. The company aims to innovate purposefully, create useful and accessible solutions, and maintain an inclusive collaborative environment. Cape is dedicated to user success by understanding challenges and delivering valuable solutions .

What is Cape Privacy used for?

• Workflow automation
• Privacy by default
• Automatic encryption
• Redaction of confidential info
• Powerful language model
• OCR feature
• Voice capabilities
• NDA feature
• Secure enclaves
• Operational efficiency enhancements

How to use Cape Privacy?

To use Capeprivacy, follow these steps:

1. Accessing Capeprivacy: Begin by accessing the Capeprivacy platform designed for data privacy solutions.

2. Custom Applications: Utilize the Cape API to build custom applications with full access to the capabilities of Cape Enterprise.

3. CapeChat Interface: Make use of CapeChat, an intuitive chat interface enabling easy interaction with multiple public and private language models.

4. Data Privacy Features: Benefit from features like automatic encryption, redaction of confidential information, secure enclaves, data destruction post-processing, and isolated compute environments for enhanced data privacy.

5. Operational Efficiency: Improve operational efficiency with workflow automation, agentic workflows, KYC process enhancements, and data accuracy improvements.

6. Collaborative Environment: Engage in a collaborative environment supported by Cape's core values of respect, collaboration, trust, innovation, and purpose.

7. Ethical Business Conduct: Uphold ethical business practices by promoting data privacy through the platform and conducting business consistent with Cape's values.

8. User-Centric Approach: Ensure user success by understanding challenges and creating valuable solutions to address them effectively.

9. Further Resources: Explore additional resources such as the Gartner TRISM Market Guide, 451 Group Encryption-In-Use Report, and Matt Turck's MAD Landscape recognition for insights and benchmarks.

10. Pros and Cons: Evaluate the pros including data privacy, powerful language models, OCR and voice capabilities, while considering the cons like limited storage and network access, closed ecosystem, and customization dependencies.

By following these steps, users can effectively leverage Capeprivacy's features and functionalities for data privacy and operational enhancements.