What is Pontus?
Pontus is an open-source AI orchestration layer that focuses on enhancing the trustworthiness of AI systems by ensuring data privacy. It achieves this by masking sensitive data before sending it to third-party services and then demasking the data on the user's own servers. Pontus enables businesses to build AI applications more quickly and confidently by embedding privacy measures into the AI workflow. One notable feature of Pontus is its intelligent prompt sanitization functionality that identifies private and sensitive information in the data using a similarity search algorithm and replaces it with tokenized representations. This approach ensures customer trust and privacy without compromising the effectiveness of the AI system. Pontus also implements secure retrieval augmented generation techniques to share only sanitized and redacted documents with third-party services like OpenAI, protecting sensitive information while fully utilizing AI models like RAG. The platform caters to enterprise clients with stringent data protection requirements, helping them adopt AI tools by addressing concerns about data security and ensuring trust and safety. Pontus offers two plans: an open-source plan suitable for hobby projects, small startups, and non-commercial ventures, and a business plan for companies needing additional support and features for on-premise deployment. Additionally, Pontus provides community support and the option to book a demo to explore its capabilities further and understand how it can enhance the trust and safety of AI systems.
Who created Pontus?
Pontus, an open-source AI orchestration layer focused on enhancing the trustworthiness of AI systems through data privacy measures, was created by a team that developed the platform to help businesses build AI applications more confidently and quickly. It was launched on September 1, 2023, with a privacy-first approach to address the stringent data protection requirements of enterprise clients. Pontus offers two plans: an open-source plan suitable for hobby projects and small startups, and a business plan tailored to companies needing additional support and features for on-premise deployment.
What is Pontus used for?
- Build AI applications quickly with privacy measures embedded into the workflow
- Intelligent prompt sanitization functionality for masking sensitive data sent to third-party services
- Implement secure retrieval augmented generation techniques for sharing sanitized documents with third-party services
- Address the needs of enterprise clients with stringent data protection requirements
- Unlock the value of AI for large enterprises while maintaining trust and safety
- Offer two plans: open-source plan for hobby projects, small startups, and non-commercial ventures, and a business plan for companies requiring additional support and features
- Provide community support and option to book a demo to learn more about capabilities
- Smart anonymization: Automatically detect and anonymize protected information according to GDPR and CPRA
- Role-based access controls to control data access while interacting with LLM providers
- Works with common LLMs, including internal providers
- Enhancing the trustworthiness of AI systems by ensuring data privacy
- Masking sensitive data sent to third-party services and demasking it on the user's servers
- Embedding privacy measures into the AI workflow for building AI applications more quickly and confidently
- Intelligent prompt sanitization functionality using a similarity search algorithm
- Replacing private and sensitive information with tokenized representations before sending to third-party services
- Implementing secure retrieval augmented generation techniques for sharing sanitized and redacted documents with third-party services
- Addressing the needs of enterprise clients with stringent data protection requirements
- Helping overcome barriers businesses face when adopting AI tools due to data security concerns
- Unlocking the value of AI for large enterprises while maintaining trust and safety for clients
- Offering an open-source plan for hobby projects, small startups, non-commercial ventures and a business plan for companies requiring additional support and features
- Masking sensitive data sent to third-party services for privacy protection
- Demasking data on the user's servers for security and control
- Building AI applications more quickly and confidently with embedded privacy measures
- Implementing intelligent prompt sanitization functionality for privacy assurance
- Employing a similarity search algorithm to identify and protect private information
- Replacing sensitive data with tokenized representations before sending to third-party services
- Implementing secure retrieval augmented generation techniques for data protection
- Unlocking the value of AI for large enterprises while maintaining trust and safety standards
Who is Pontus for?
- Businesses
- Enterprise clients
- AI developers
- Data scientists
- Data Analysts
- Enterprise clients with stringent data protection requirements
- Large Enterprises
- Small startups
- Non-commercial ventures
How to use Pontus?
To use Pontus, follow these steps:
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Sign Up: Register for Pontus to access its features and functionalities.
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Understand the Platform: Learn how Pontus enhances AI systems' trustworthiness through data privacy measures.
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Privacy Measures: Utilize Pontus's masking and demasking capabilities to protect sensitive data sent to third-party services.
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Intelligent Prompt Sanitization: Benefit from Pontus's feature that replaces private information with tokenized representations using a similarity search algorithm.
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Secure Retrieval Augmented Generation: Ensure only sanitized documents are shared with third-party services like OpenAI, maintaining data security.
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Choose a Plan: Select between the open-source plan for smaller ventures or the business plan for companies needing more support and features for on-premise deployment.
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Community Support: Make use of Pontus's community support and demo booking option to explore its capabilities further and improve AI system trust and safety.
By following these steps, users can effectively integrate Pontus into their workflow to enhance data privacy and trust in AI systems .