Software

Proten Lists 'ProLLMOps V2.0' on Public Procurement Service's Digital Service Marketplace

IT DAILY ·

Proten ProLLMOps V2.0 has been registered on KONEPS after signing a third-party unit-price contract with the Public Procurement Service.

✦ AI Summary

Proten said on the 6th that it had signed a third-party unit price contract with the Public Procurement Service for its AI Agent framework, 'ProLLMOps V2.0.'

'ProLLMOps V2.0' was also listed on the Digital Service Marketplace of KONEPS.

Government ministries and public institutions can purchase 'ProLLMOps V2.0' through KONEPS without a separate competitive bidding process, and the purchasing method applies the third-party unit price contract.

Proten, a company specializing in building generative AI platforms, said on the 6th that CEO Park Jae-wan had signed a third-party unit price contract with the Public Procurement Service for its AI Agent framework, 'ProLLMOps V2.0.' The company also said 'ProLLMOps V2.0' has been listed on the Digital Service Marketplace of KONEPS.

With its listing on the Digital Service Marketplace of KONEPS, government ministries and public institutions have secured a channel to purchase 'ProLLMOps V2.0.' As a result, they can quickly buy 'ProLLMOps V2.0' through KONEPS without a separate competitive bidding process, and the purchasing method applies the third-party unit price contract.

A third-party unit price contract is a method in which the Public Procurement Service sets contract terms in advance with a supplier. Demand institutions can purchase products under those terms, and the purpose of the system is to simplify the procurement process.

ProLLMOps V2.0 is an AI Agent framework that supports integration with various LLMs, institutional data, business systems and external tools, while helping design, build and operate AI Agents tailored to business purposes. It also enables users to organize workflows based on visual workflows without complex coding, and to manage RAG (Retrieval-Augmented Generation), LLMs, prompts and tools in a single environment.

As public institutions have recently expanded their use of generative AI, interest is growing in introducing AI Agents that go beyond simple chatbots and LLM use to actually perform work by linking institutional data with existing business systems. Accordingly, the importance is also increasing of environments that can systematically manage connections between institution-specific data and various LLMs, ongoing management of RAG search and answer quality, integration with business systems and external tools, and the execution process and operational status of AI Agents.

ProLLMOps V2.0 supports integration of various LLMs and institutional data, and allows AI Agent workflows to be organized visually. It also splits and manages document data in chunks and makes it easy to register and change embedding models and LLMs, helping improve RAG search efficiency and answer quality.

Based on an Agentic AI structure of planning, execution and verification, built-in tools and external tool integration based on MCP (Model Context Protocol), the product helps users design and build AI Agents tailored to business purposes without specialized coding. Through this, it can implement AI Agents capable of multi-step business judgment and execution beyond simple Q&A, and it supports the rapid and efficient deployment and operation of generative AI search, chatbot and business automation services by using existing business systems such as demand institution portals, groupware and websites, as well as knowledge data such as regulations and business documents.

ProLLMOps V2.0 provides no-code workflow-based AI Agent design and execution functions, as well as Agentic AI-based planning, execution and verification process configuration. It also supports RAG workflow configuration and performance verification, knowledge data registration, document embedding and chunking management, registration and modification of various LLMs and embedding models, prompt management, LLM API integration, built-in tools and external tool integration based on MCP, and management of LLM token usage and operational status by user and by task.

Proten CEO Park Jae-wan said that as public institutions expand their adoption of generative AI, the importance of AI Agent environments that connect institutional data, various AI models and existing business systems is growing beyond simple LLM use. He added that, with this procurement listing as a catalyst, the company plans to improve ease of adoption of ProLLMOps V2.0 by public institutions and actively support the rapid building and stable operation of AI Agent and generative AI services optimized for each institution's business environment.

Proten's ProLLMOps V2.0 has obtained the 'Certificate of AI Products and Services' organized by the Korea Artificial Intelligence and Software Industry Association (KOSA). The certification system for AI products and services verifies whether AI technology is actually applied in products and services, and the review items include whether the technology improves functionality, convenience, accessibility and efficiency.

Benefits for certified products include bonus points when participating in public-sector projects and relaxed participation requirements for public-sector projects. With this procurement listing and AI certification in hand, Proten plans to actively target the public market by responding to public institutions' demand for AI Agents and generative AI, supporting AI integration with institutional data and business systems, and helping build intelligent work environments.

Source: IT DAILY · Kim Ho
Original: https://www.itdaily.kr/news/articleView.html?idxno=242017

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