– Learns corporate data such as documents, emails, chats, and regulations to provide responses optimized for the business context.
– Provides a secure enterprise architecture with no-decryption inference and full-range encryption.
Red Brick (CEO Yang Young-mo), a content engine startup based on generative AI, announced on the 23rd that it has officially launched its secure business automation platform, ‘Enterprise AI.’
Enterprise AI is a business support solution that learns from diverse data—including internal documents, emails, chats, and regulations—to provide personalized responses tailored to employees' roles and permissions. Multiple AI models, including ChatGPT, Cloud, and Gemini, can be selected and used to meet specific business objectives, reducing AI operational costs and achieving optimized results for practical use.
Employees can attach data or links to chat windows to request summaries, analyses, translations, and document creation. AI leverages learned internal data and web search information to efficiently automate repetitive tasks like drafting plans, writing reports, and organizing meeting minutes. Furthermore, it integrates in real time with collaboration tools like Slack, Teams, and Naver Works, allowing the company's information assets to be integrated into a single knowledge hub.
Enterprise AI also offers prompt templates and the ability to create no-code AI agents. Frequently used requests can be saved as templates for reuse, and repetitive tasks across departments can be easily automated by configuring them into AI agents.
It also features security features. To reduce concerns about internal data leaks and support customization tailored to corporate infrastructure, it provides an installed environment for use only within the company's internal network. It employs a no-archive policy (no data storage) and full-range encryption technology to prevent sensitive information leakage. Furthermore, it employs a "no-decryption inference structure" that does not open the original data during data processing, and operates a separate environment for each company to prevent data interference. Furthermore, it offers detailed security features such as personal information masking, role-based permission settings, and file upload restrictions.
With this launch, Red Brick plans to expand its business AI capabilities, which understand corporate workflows and internal knowledge and support implementation. To achieve this, Red Brick will pursue advancements in context-based AI engines, strengthen security architecture, and develop industry-specific AI models.
Yang Young-mo, CEO of Red Brick, said, “Enterprise AI is a solution that understands the internal data and work flow of a company and significantly reduces repetitive document work and decision-making preparation processes.” He added, “Red Brick will continue to develop technology so that companies can streamline their work methods centered on AI based on practical utility.”
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