Tencent Cloud unveiled two new AI agents and a model platform at the SuperAI 2026 conference in Singapore. The tools, including an AI-native creative studio, target enterprise teams and individual users in Southeast Asia seeking to automate workflows and accelerate production timelines.
New tools for creative and operational workflows
The company introduced Miora, an AI-native creative studio that generates production-ready graphics, video, 3D assets, and user interfaces from natural-language briefs. Tencent Cloud said the tool compresses creative cycles from weeks to hours. This capability is highly relevant for professionals looking to integrate AI Design tools into their daily production pipelines.
Alongside Miora, Tencent Cloud launched WorkBuddy, an agent that automates office workflows ranging from data analysis to report creation through a single instruction. It supports multi-agent execution and integrates with platforms like Discord, Slack, and Telegram.
A unified model platform
The company also introduced TokenHub, a Model-as-a-Service platform. It provides a single API gateway to access and combine multiple third-party AI models. This setup helps developers optimize performance and cost for enterprise applications.
Sherina Chen, Global Product Operations Manager for WorkBuddy and Miora, discussed the shift toward supervised automation. "The next phase of AI adoption is moving toward intelligent agents that can autonomously execute complex workflows within the boundaries of human supervision, shifting execution-heavy workloads to AI so teams can focus on critical decision-making," Chen said.
Tencent Cloud currently supports customers across Southeast Asia applying cloud and AI to real-world scenarios. Examples include AI-powered banking with Ryt Bank in Malaysia and retail transformation with CP AXTRA in Thailand. The company's broader AI ecosystem for overseas markets includes over 400 solutions.
Why this matters for creatives
For creative professionals, Miora offers a practical method to bypass the manual labor of early-stage asset generation. By turning natural-language briefs into production-ready graphics and 3D assets, teams can redirect their time toward high-level creative direction and refinement. Those exploring AI for Creatives will find this shift from manual drafting to supervised automation particularly relevant to modern studio demands.
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