French-American AI startup Reduck has raised $3 million in pre-seed funding. The round was led by Daphni, with participation from Drysdale Ventures and Galion.exe. The company is developing technology that helps AI agents interact with websites and complete tasks without needing traditional APIs.

Reduck was founded by Daniel Huynh (CEO), Louis Abraham (CTO), and Raphaël Millet (COO). The company aims to solve a common problem with AI agents: many websites and business applications do not provide the tools needed for AI agents to access and use them directly.

AI agents are increasingly being used to automate digital tasks, but many websites and business tools lack APIs or Model Context Protocol (MCP) interfaces that allow these agents to connect easily. As a result, AI agents often have to navigate websites by clicking buttons and typing, which can be slow, expensive, and unreliable for complex tasks.

To solve this problem, Reduck has developed Reduck MCP, a platform that helps AI agents find, run, and create browser automation scripts. Instead of navigating a website step by step for every task, agents can use ready-made scripts to complete actions more quickly while reducing computing costs and time.

Reduck is developing tools that will help developers build custom AI agents that can work with applications that do not have APIs. These tools could be used with specialised platforms in industries such as insurance and healthcare, as well as internal customer relationship management (CRM) systems used by businesses.

The company is also exploring ways to use AI agents to automate knowledge-based tasks. One of its initial areas of focus is generative engine optimisation (GEO), which helps businesses improve their visibility in AI-powered search tools.

The new funding has helped Reduck expand its team across AI engineering, software development, and infrastructure. The company plans to improve its automation technology, add more scripts to its library, and launch a new offering for developers.