basebox is a management system for secure AI in your infrastructure. It allows companies to use AI safely within their existing infrastructure, maintaining control over data, processes, and costs. basebox enables the use of AI without cloud dependency or in-house development, operating on-premise or in a private cloud to ensure data remains within the company and meets security standards.
What is basebox AI?
How to use
basebox is used by assigning access rights to teams, scaling according to needs, and integrating into existing IT systems using established standards. It allows for controlled data access and precise access control, ensuring a closed data cycle.
Core Features
- Centralized control of AI usage
- Seamless integration with existing IT systems
- Maximum data security with on-premise or private cloud operation
- Precise access control and a closed data cycle
Use Cases
- Efficient text processing: understanding, simplifying, summarizing, translating, correcting, writing, and shortening texts.
- Correcting doctor's reports for discharge using custom templates.
- Efficient knowledge management: intranet index, medical guidelines, checklists, and instructions.
- Supporting financial and legal tasks: generating, reading, analyzing, and structuring texts, and extracting files.
- Assisting in HR tasks: creating job postings and writing employment references.
- Creating authentic texts for public relations: social media, blog posts, brochures, and advertising copy.
FAQ
What security measures does basebox AI offer?
basebox AI offers security measures such as no data or prompts being stored, hosting in Europe, end-to-end encryption, and DSGVO compliance.
What kind of support does basebox AI offer for personal work?
basebox AI supports personal work by helping with writing job postings and employment references.
What kind of support does basebox AI offer for financial and legal tasks?
basebox AI supports financial and legal tasks by generating, reading, analyzing, and structuring texts, and extracting files.
Pricing
Pros & Cons
Pros
- Secure AI usage without cloud dependency
- Control over data, processes, and costs
- Seamless integration into existing IT infrastructure
- High data security and compliance with security standards
Cons
- Requires existing IT infrastructure for on-premise or private cloud operation
- May require initial setup and configuration
- Pricing not transparent, requires contact for details