Zaro

Founder, @getzaroai. Turning enterprise workflows into AI that actually works. Less hype, more shipping.

Zaro is an AI-native workspace that gives companies a single shared context layer for their data, applications, and agents, so knowledge created in one workflow can be reused by every other one. The London-based startup emerged from stealth with pre-seed funding to develop a platform that connects enterprise data, workflows, and AI tools in a shared context layer designed to retain and reuse organisational knowledge. Inside the product, teams can point Zaro at their files and meeting notes to generate custom apps (a dashboard, a pipeline tracker, a morning briefing), then describe an agent in plain language that reads those files, pulls email, runs research, and writes results back on a schedule. The launch matters because most companies are still stitching together disconnected AI tools where context evaporates between sessions, and Zaro is pitching ownership of that context as the durable moat once models commoditise. The $5.1m round was led by Cherry Ventures with backing from angels including Hugging Face founder Thomas Wolf and GitHub founder Thomas Dohmke , signalling that the infrastructure-for-AI-context thesis has buy-in from operators who built the underlying platforms. Zaro was founded by Michael Bajwa (CEO) and Qian Zheng (CTO), and several of its roughly eight-person team previously worked at Convergence, the AI agent startup acquired by Salesforce, where they contributed to Agentforce. The product also uses a multi-model routing approach, sending routine tasks to cheaper models and reserving frontier models for complex work, which the team frames as the practical way to run real workflows at production cost rather than demo cost.

Tags

Comments (9)