Mirendil, a startup founded by former Anthropic researchers, has closed a $200 million funding round backed by Andreessen Horowitz and Kleiner Perkins. The investment will accelerate the development of an autonomous AI engineering platform designed to allow scientists and domain experts to build custom machine learning models without relying on specialized engineering teams. By automating the complex workflows typically managed by AI practitioners, Mirendil aims to lower technical barriers and integrate machine learning directly into scientific research and development pipelines. The round highlights increasing market demand for tools that democratize AI creation and streamline model deployment across academic and industrial laboratories. Mirendil plans to allocate the capital toward platform refinement, talent acquisition, and partnerships with research institutions, positioning the company as a critical infrastructure provider for next generation scientific computing.