UNNet Widens Supply of 'Tarantula AI Data Platform' to Support End-to-End Agentic AI Service Development
TECHWORLD · · 1 views
✦ AI Summary
As generative AI moves into the application stage, enterprise AI use is shifting from information retrieval and content generation to understanding corporate data and business systems and carrying out tasks.
Accordingly, UNNet said it will significantly expand supply of the 'Tarantula AI Data Platform,' which connects internal corporate DB, documents, business systems, and AI.
Based on the data platform, UNNet will divide roles with partners to support the entire AI service development process and plans to expand into financial, public-sector, and large enterprise customers, as well as overseas markets such as Japan.
As generative AI moves into the application stage, companies are entering the phase of "AI production" centered on real-world business operations and services. As a result, how enterprises use AI is also changing.
The stage of AI use is shifting from information retrieval and content generation to understanding corporate data and business systems, and to carrying out tasks. Along with this, "agentic AI" is emerging as a new enterprise IT environment.
In line with this trend, UNNet announced plans to significantly expand supply of the 'Tarantula AI Data Platform(Tarantula AI Data Platform).' The 'Tarantula AI Data Platform' is designed to connect a company's internal DB, documents, business systems, and AI.
UNNet said it will focus on providing a data environment for AI applications rather than directly developing AI agents and services. It outlined a strategy to concentrate its capabilities on building a data foundation that AI can trust and use.
UNNet collaborates by dividing roles with partners around the data platform. The partners are responsible for developing AI agents and business applications. UNNet's role is to work closely with partners based on the data platform.
Under this structure, UNNet provides an integrated data platform based on its accumulated database and data infrastructure technologies. The platform has the scope to integrate databases, data lakes and lakehouses, vector search, AI models, API, and corporate business systems.
Through this, it builds an environment in which AI search and analysis are possible for structured and unstructured corporate data. Based on the data platform, UNNet supports partners in efficiently building business applications such as CRM and log analysis.
UNNet plans to support the entire process of building AI services. Its support covers requirements definition, data connection and design, development, testing, and operations.
In addition, UNNet plans to jointly support integration with open interfaces such as MCP(Model Context Protocol) with its partners. This is for standardized data and tool access for AI agents.
Kim Joo-seop, CEO of UNNet, said that companies' AI adoption is advancing from human-centered questions and answers to a stage in which AI understands corporate data and directly performs work, adding that a data platform capable of stable AI use is needed to respond to this change. He added that UNNet has the Tarantula AI Data Platform, which has been proven in mission-critical environments in the financial sector.
Kim Joo-seop said UNNet plans to support the entire AI service development process together with AI development partners. He added that the company plans to expand references centered on financial, public-sector, and large enterprise customers, and to expand into overseas markets such as Japan.
Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=408152
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Source: TECHWORLD
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