As organisations rapidly adopt artificial intelligence, many are discovering an unexpected challenge. Instead of creating seamless operations, the growing number of AI agents, automation platforms, and workflow tools often leads to fragmented systems that struggle to communicate with one another. Valuable information generated by one application frequently remains trapped within that environment, preventing businesses from fully benefiting from their collective knowledge. London based startup Zaro believes the future of enterprise AI depends on solving this problem, and the company has now emerged from stealth with fresh funding to bring its vision to market.
Zaro has announced a $5.1 million pre seed funding round led by Cherry Ventures. The investment also attracted support from a number of prominent technology leaders and entrepreneurs, including Hugging Face co founder Thomas Wolf, GitHub CEO Thomas Dohmke, Mandeep Singh, Charlie Songhurst, and former Convergence founders Marvin Purtorab and Andy Toulis.
The funding will support product development, team expansion, and the broader rollout of the company’s AI native workspace platform.
Built by a Team With Deep AI Experience
Founded by Michael Bajwa and Qian Zheng, Zaro brings together a team with extensive experience in artificial intelligence and agent based systems.
Several members of the company’s eight person team previously worked at Convergence, an AI startup focused on developing intelligent agents before the technology gained widespread attention.
Following Salesforce’s acquisition of Convergence, members of the team contributed to the development of Agentforce, Salesforce’s enterprise AI platform.
This experience gave the founders firsthand insight into the limitations of current enterprise AI deployments and helped shape the vision behind Zaro.
Tackling AI Fragmentation
Many businesses today deploy multiple AI applications across departments and workflows.
While these tools often perform effectively in isolation, they rarely share context, insights, or operational knowledge with one another.
As a result, information generated through one process frequently remains inaccessible to other systems, creating inefficiencies and limiting the long term value of AI investments.
Zaro aims to address this challenge by creating a shared context layer that sits at the centre of an organisation’s operations.
The platform connects company data, historical decisions, workflows, documents, and operational knowledge into a unified foundation that can be accessed by applications and AI agents across the business.
Creating an Adaptive Enterprise Workspace
At the core of Zaro’s platform is the idea that organisational knowledge should continuously accumulate and become more useful over time.
Rather than forcing companies to operate through disconnected software tools, the platform enables applications and workflows to build upon previous interactions and insights.
AI agents running on the platform can access shared context, allowing information generated in one process to improve future decisions elsewhere in the organisation.
This creates what the company describes as a compounding knowledge system where intelligence becomes increasingly valuable as more work is performed.
The platform also includes tools for building custom applications based on internal business data, operational processes, documents, and meeting records.
A Flexible and Cost Efficient AI Architecture
Another key component of Zaro’s strategy is its multi model approach to artificial intelligence.
Instead of relying exclusively on expensive frontier AI models for every task, the platform intelligently routes workloads to different models depending on complexity.
Routine operations can be handled by lower cost models, while more advanced systems are reserved for tasks requiring deeper reasoning or specialised capabilities.
According to the company, this architecture can significantly reduce operating expenses while maintaining high performance across enterprise workflows.
Preparing for Growth
Zaro is already using its own platform internally to manage functions such as finance, human resources, and facilities operations.
These real world deployments provide continuous feedback as the company refines its technology ahead of wider enterprise adoption.
The newly secured funding will help accelerate product development and support the growth of the team as demand for enterprise AI infrastructure continues to rise.
As organisations increasingly seek ways to integrate AI across every aspect of their operations, Zaro is positioning itself as a platform designed to connect fragmented tools, preserve institutional knowledge, and create a more intelligent and collaborative digital workplace. By focusing on shared context rather than isolated automation, the company aims to become a foundational layer for the next generation of enterprise AI.