Toku, a Singapore-listed customer experience software firm, launched Makimoto, an open-source conversational AI initiative for Asia-Pacific, according to the company. The first release, a transcription API, is scheduled for July 1, 2026, and will be hosted in Singapore.
Product Launch Details
Makimoto Kawa will begin with real-time and post-conversation transcription APIs. Toku said a self-hosted, containerized version and country-specific releases will follow the initial launch.
Data Residency and Regulatory Driver
Toku framed the project as a response to data residency and privacy rules in markets including Singapore, Indonesia, and Vietnam that affect where customer audio and transcripts can be processed. By hosting infrastructure locally and open-sourcing components, Toku aims to help regional companies build compliance-defensible AI solutions.
Open-Source Strategy and Hiring
Toku is releasing Kawa’s orchestration layer—the software that coordinates how AI components work together—under an MIT license. The company is also opening 10 Singapore-based graduate roles across engineering, developer relations, and community work to support the initiative.
Strategic Context: Margin Pressures and Competitive Positioning
Toku’s gross profit margin fell from 27.4% to 24.3% in FY2025, with lower-margin “Usage” revenue reaching 68.8% of total sales, while higher-margin services declined. Toku began charging for AI capabilities in FY2025, though that revenue was not yet material. The Makimoto project represents an attempt to add a higher-margin software and AI layer to Toku’s connectivity-led usage business. By positioning locally compliant AI as a competitive advantage over global providers that often process data outside regional markets, Toku is targeting a potential market split along geopolitical lines, particularly in Asia-Pacific, the Middle East, and Latin America where the company is expanding.
Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to
Disclaimer.
Related Articles
Major CEX Launches Smart Money Signal Suite with 1,000+ Trader Data
Gate News message, April 27 — A major centralized exchange has launched a "Smart Money Signal Suite" that integrates real-time holdings, win rates, and profit/loss data from over 1,000 popular traders. The toolkit, accessible through the platform's Agent Trade Kit, encapsulates trader signals as
GateNews5h ago
Robotics Software Startup Sereact Raises $110M Series B Led by Headline
Gate News message, April 27 — Robotics software startup Sereact announced on April 27 that it raised $110 million in a Series B round led by Headline to expand operations and develop advanced AI models for industrial robots.
Bullhound Capital, Felix Capital, and Daphni also participated in the
GateNews5h ago
DeepSeek V4 Pro with Ollama Cloud: One-click integration with Claude Code
According to an Ollama tweet, DeepSeek V4 Pro was released on 4/24, has been added to the Ollama catalog in cloud mode, and can call tools like Claude Code, Hermes, OpenClaw, OpenCode, Codex, etc. with just a single line of command. V4 Pro: 1.6T params, 1M context, Mixture-of-Experts; cloud inference does not download local weights. If you want to run it locally, you need to obtain the weights yourself and run it with INT4/GGUF and multi-card GPUs. Early speed tests were affected by cloud load; typical performance is about 30 tok/s, with a peak of 1.1 tok/s. It is recommended to use the cloud prototype first, and for production later, run inference yourself or use a commercial API.
ChainNewsAbmedia7h ago
Tencent Cloud QClaw integrates with the Hermes framework, supporting switching between multiple models such as DeepSeek-V4 Pro
According to an official Tencent Cloud announcement on April 27, Tencent Cloud AI Agent desktop tool QClaw has officially released version v0.2.14. Tencent Cloud said this is the largest version upgrade QClaw has had to date. The core updates include integrating the Hermes Agent framework, upgrading the underlying model to a free-switching mode, and fully upgrading the “Inspiration Plaza” into the “Expert Plaza.”
MarketWhisper8h ago
