Sendbird and Upstage are collaborating to apply and commercialize artificial intelligence (AI) agents based on domestic large language models (LLMs) in corporate settings.
On October 19, Sendbird announced that it has signed a memorandum of understanding (MOU) with Upstage to implement domestic LLMs in business environments.
The two companies plan to integrate Sendbird's AI agent platform, 'Delight.ai,' with Upstage's proprietary LLM, 'Solar,' to enhance corporate operations. They will also explore joint business opportunities in the sovereign AI sector based on the demand from companies considering the adoption of domestic LLMs.
This collaboration is expected to expand the AI model options available to Sendbird's corporate clients while allowing Upstage to incorporate real-world requirements into model enhancements. The two companies aim to combine Sendbird's extensive experience in building and operating AI agents for global clients with Upstage's LLM technology to increase the use cases of domestic LLMs in businesses.
Initially, they will identify scenarios where Solar can be applied within Sendbird's corporate client operations and validate them in stages. They will assess response speed, task accuracy, and customer satisfaction in real service environments, incorporating improvements identified during the validation process into both platforms and models.
Sendbird will provide expertise in AI agent design, system integration, testing, and operations, while Upstage will support optimization tailored to corporate environments based on Solar's model technology. Evaluation results and related data will be utilized in accordance with client contracts and data protection principles.
Lee Sang-hee, CEO of Sendbird Korea, stated, “To expand the competitiveness of domestic AI in the global market, it is crucial to validate and improve it in the actual work environments of global companies. By combining Upstage's model technology with Sendbird's AI agent operational capabilities, we will create cases where domestic LLMs lead to tangible results for clients.”
* This article has been translated by AI.
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