Post by AI World

What happens to the knowledge your AI agents produce once a workflow ends? In most enterprises, it disappears. Each tool works in isolation. What one agent learns, the next cannot access. The knowledge an organisation generates through its operations is lost at every tool boundary. Zaro.ai (London), co-founded by Michael Bajwa and Qian Zheng, built a shared context layer that sits below individual AI tools and applications. Company data, decisions, workflows, and operational history are held in one persistent workspace. Agents and applications connected to it work from the same pool of accumulated knowledge. Companies can build custom applications from their own documents, meeting notes, and internal data, and deploy them alongside pre-configured workflows. Tasks are routed by complexity: lower-cost models handle routine work, more capable ones take on demanding workloads. Zaro.ai has just closed a $5.1M pre-seed round led by Cherry Ventures, with participation from angel investors including representatives from Hugging Face, GitHub, and Convergence. 👏 Congratulations to the team, including: Michael Bajwa, Qian Zheng, Zhuowei Luo, William Ross and the rest of the Zaro team. 🔗 More AI-driven startups at AI World - link in profile. 📊 Sources: Zaro.ai | photo: tech.eu