The Amsterdam-listed group is putting the creation of a conversational app in front of users, restaurants and shopkeepers, where it says artificial intelligence has so far lagged behind.
Prosus launched ToganClawis a platform that allows people to create apps, dashboards and automations by simply describing what they want and how to explain the task to a colleague.
The Amsterdam-listed technology group announced it today, touting itself as the first company in Europe to put OpenClaw-style tools in front of its business partners at scale.
The idea is to take the engineer out of the loop. A restaurant owner who needs a delivery-analytics dashboard or a shop owner who wants to automate a weekly report can describe the tool in a chat and set it up without writing code, opening a ticket or waiting on the IT team.
Prosus said the platform is out-of-the-box and routes through more than 20 major AI models to select the best one for a given task, making it cheaper than alternatives.
ToganClaw is built on Togan, the in-house artificial intelligence platform Prosus develops for its own employees, and it inherits this data position of the system: the company says that the customer’s data remains under their control and is never used to train third-party models.
This detail is the point of the whole exercise. Previous reports have described Prosus building an OpenClaw competitor to overcome Europe’s privacy concerns, and ToganClaw is the product highlighted by the report.
It’s a different stance than competitors built directly on the platform, as Tencent has done ClawPro enterprise agents.
As Prosus claims, it’s the target users that conventional AI skips. It provides the platform to more than five million restaurants, merchants and entrepreneurs across its ecosystem, businesses that do not have the technical teams to build their own software.
The framework is based on the same argument for democratization that is more inclusive The rise of OpenClaw and its agent toolsit is now aimed at small traders rather than developers.
Prosus put numbers behind his approach. Chief executive Fabricio Bloisi said the group spent 18 months building internally, reaching 60,000 agents and 10,000 applications from people who had never coded.
The company also said it trained a specialized trading model, which it calls Big Trading Model, based on data from more than a billion customers and 500 million daily interactions, and its integration with ToganClaw allows agents to start anticipating what the business needs, rather than following instructions.
The presentation came with customer samples, all provided by the company. Dutch cafe chain Lebkov & Sons is said to have cut its financial reporting from weeks to 30 minutes.
Burger & Frites, a Rotterdam burger chain, set up a delivery-analytics agent, which the company reported saving about €21,000 per month; and poke-bowl chain Poke Perfect created a WhatsApp-based operations assistant that reduced daily staff inquiries by 70%.
Figures are data from Prosus, not independently verified.
Along with ToganClaw, Prosus also pushed Zapia, its consumer-facing AI assistant, to a wider release.
Zapia handles tasks end-to-end, such as finding a restaurant, shortlisting options in a family group chat, waiting for voices and booking a table, and Prosus says more than six million people already use it, mostly in Latin America.
It’s available now on the App Store, Google Play, and the web, with a free tier that covers most personal use and a paid plan for heavier users.
Both presentations were for the group’s first product event, Prosus Forward, where it unveiled the first AI field built around the same idea: having data and customer relationships is the advantage, not the model.
The tougher test, as with any tool that promises to build a program, is whether traders will continue to use what they did after the demo ended.
