Prosus launches ToqanClaw: a no-code OpenClaw-style tool builder for 5M merchants

Prosus has introduced ToqanClaw, an OpenClaw-style tool builder aimed at its ecosystem of more than five million merchants, restaurants, and entrepreneurs. Built on Prosusor its own staff Toqan platform, ToqanClaw lets users describe the needed tool in plain language, generating apps, dashboards, and automations without writing code. It routes tasks across more than 20 underlying AI models to pick the best fit for each job, and it emphasizes that customer data remains under the users control and is not used to train third-party models.

What happened

Prosus announced ToqanClaw as a no-code tool builder designed to democratize AI tooling for non-developers in its ecosystem. The platform, built on the internal Toqan stack, aims to remove the engineer from the loop by letting business owners describe a desired tool in a conversation and have it created immediately. Prosus reports internal milestones: 18 months of development, 60,000 agents, and 10,000 applications created by people who had never written code. A specialised Large Commerce Model, trained on data from more than a billion customers and 500 million daily interactions, connects to ToqanClaw to help agents anticipate business needs rather than just execute instructions. Early company-provided examples include Lebkov & Sons, Burger & Frites, and Poke Perfect, illustrating improvements in reporting, delivery analytics, and WhatsApp-based operations.

Alongside ToqanClaw, Prosus pushed Zapia, a consumer-facing AI assistant, into wider release across App Store, Google Play, and the web, with a free tier and a paid plan for heavier users. The launches were showcased at Prosus Forward, the groups inaugural product event, which centers the argument that owning data and customer relationships offers a strategic advantage.

Why AI builders should care

ToqanClaw targets practical accessibility, bringing AI-powered tools to small businesses that lack in-house software teams. Routing across more than 20 AI models is presented as a way to reduce costs and improve performance per task, while the emphasis on data ownership and local control is highlighted as a competitive edge, particularly in Europe. Prosus frames this as democratization of AI tooling, extending the benefits of OpenClaw-style agents beyond developers to the real economy of shopkeepers and restaurateurs.

Practical implications

Non-technical business owners can generate apps, dashboards, and automations via natural language prompts. The platform integrates with familiar channels and tools, including examples like WhatsApp-based operations assistants and delivery-analytics dashboards, and it is promoted as immediately ready without waiting for IT queues. For small and medium businesses, expected outcomes include faster financial reporting, reduced manual queries, and potential cost savings through model routing optimization.

Caveats

The figures cited by Prosus (18 months of development, 60,000 agents, 10,000 applications) are internal estimates and are not independently audited. Long-term user adoption and retention beyond pilots remain unverified, and outcomes may vary with data quality and integration depth. As with any no-code platform, the quality of generated tools depends on user prompts and data inputs.

FAQs

What is ToqanClaw and how does it work? ToqanClaw is a no-code tool builder that creates apps, dashboards, and automations from plain-language prompts and routes tasks across more than 20 AI models to select the best fit per task.

Who can use ToqanClaw and what can be built with it? The platform targets more than five million restaurants, merchants, and entrepreneurs in Prosuss ecosystem, enabling tools such as delivery-analytics dashboards and WhatsApp-based operations assistants.

How does ToqanClaw handle data ownership and privacy? Customer data remains under the users control and is not used to train third-party models.

What are some early customer examples of ToqanClaw in action? Lebkov & Sons cut financial reporting from weeks to 30 minutes. Burger & Frites saves about EUR 21,000 per month. Poke Perfect reduced routine staff queries by 70 percent via a WhatsApp-based operations assistant.

What platforms or integrations does ToqanClaw support? Examples include WhatsApp-based operations assistants; integrations are aligned with the Toqan platform and its broader ecosystem, with workflows that connect to familiar tools.

How many AI models does ToqanClaw route to determine the best outcome? More than 20 underlying AI models are routed to pick the best fit for a given task.