Reporter Im Dae-jun [email protected]
Source: AI Times(https://www.aitimes.com/news/articleView.html?idxno=209284)
CLEVI, an AI platform specialist, announced on the 15th that it would target the market with solutions tailored to the era of AI agents.
CLEVI has developed AI agents for various fields, including chatbots, legal agents, Coding Agent, and voice and multilingual interpretation agents, and has begun providing customised services for enterprise customers.
The CLEVI AI agent product range to be launched this time goes beyond simple automation tools, aiming to be ‘smart partners’ that collaborate with people in real-world work environments to maximise productivity and efficiency.
The explanation is that they can be used across various industries, from ‘chatbots’ handling websites and customer consultations, and ‘legal agents’ that quickly and easily explain complex legal consultations, to ‘Coding Agent’, which improves developer productivity, and ‘real-time voice and multilingual interpretation agents’ that break down barriers in global business.
CLEVI said that its AI agents had demonstrated superior performance compared with competitors in areas including chatbots, legal, coding and interpretation in the recent global AI performance evaluation, the ‘GAIA Benchmark’. The GAIA Benchmark evaluates the accuracy and practicality of AI models across various scenarios that reflect real-world work environments.
It added that some agents would be provided as cloud services at competitive prices.
CLEVI said, “AI agents are now becoming key solutions that determine the competitiveness of enterprises,” adding, “Along with verifying our technological capabilities through the GAIA Benchmark, we will continue to work closely with customers across various industries and lead the AI agent market.”
Meanwhile, CLEVI is running promotions for enterprises wishing to adopt AI agents, including customised consulting, demo experiences and adoption support. It said that it plans to present a new paradigm for AI-based work innovation through continued research and development and service enhancement.
Source: AI Times(https://www.aitimes.com)