Zaro closes $5.1M pre-seed to stop organisational knowledge from disappearing between AI tools

Enterprises have spent the last few years deploying AI tools. The problem is that these tools tend to work in isolation from one another. While agents built to work independently perform well on their own, the moment they need to collaborate, context has already been lost, meaning the knowledge an organisation generates through its operations does not accumulate.

Zaro, a London-based start-up co-founded by Michael Bajwa and Qian Zheng, has developed a shared context layer that sits below individual AI tools and applications. Company data, decisions, workflows and operational history are all stored in one persistent workspace. Agents and applications connected to this workspace can access the same accumulated knowledge, ensuring that what one process produces is available to the next. Companies can build custom applications from their own documents, meeting notes and internal data, and deploy them alongside a marketplace of pre-configured workflows. The platform also routes tasks by complexity: lower-cost models handle routine work and more capable ones take on demanding workloads.

Zaro has just closed a $5.1 million pre-seed funding round led by Cherry Ventures, with participation from angel investors including representatives from Hugging Face, GitHub, and Convergence. The capital will support product development and enterprise rollout.

Sources: Zaro | photo: tech.eu

Founders: Michael Bajwa, Qian Zheng