Ravi Chitloor is a prominent technologist and entrepreneur known primarily for co-founding MeshDefend, an innovative AI-native enterprise data infrastructure company founded in 2025. With decades of experience in data protection and cybersecurity, Ravi has played a pivotal role in shaping cutting-edge data management and resilience solutions. MeshDefend, headquartered in Bengaluru, India, is making waves with its revolutionary approach to autonomous, intelligent, and secure data infrastructure operations by leveraging artificial intelligence to simplify the complexities that large enterprises face in managing hybrid and multi-cloud environments. Readers will discover insights into Ravi's career, the genesis and vision of MeshDefend, and the impact of their groundbreaking technology on the enterprise data ecosystem.
Prior to founding MeshDefend, Ravi Chitloor had an extensive career as a senior distinguished engineer and senior director at Dell Technologies. He specialized in unstructured and secondary storage solutions and served as the chief architect for Integrated Data Protection Software (IDPS). During his tenure, Ravi influenced strategy and drove architectural innovations that enhanced data protection, backup, recovery, and cybersecurity at scale. This rich background built the foundation for his later entrepreneurial endeavors.
Ravi co-founded MeshDefend alongside Tejas Pandit with a clear mission: to redefine enterprise data infrastructure management through AI-powered autonomous systems. Incorporated in Bengaluru, MeshDefend was established to pioneer an AI-native operating system named Agent Mesh™, designed to automate, secure, and optimize complex data operations. The startup embodies innovation by combining AI with deep expertise in storage and data resilience to empower enterprises to manage their fragmented, multi-vendor data environments more efficiently.
MeshDefend’s primary vision is to build data infrastructure that is intelligent, autonomous, and secure. The platform’s AI agents learn, reason, and act, enabling enterprises to automate routine yet critical tasks, monitor and analyze system health, improve operational efficiency, and boost resilience against cyber threats. This mission targets the growing complexity enterprises face due to dispersed workloads and multi-cloud hybrid environments, offering a centralized, intelligent point of control.
At the core of MeshDefend is its flagship technology, Agent Mesh™, an AI-native agentic operating system that unites diverse components of data infrastructure. Agent Mesh™ provides enterprises, managed service providers (MSPs), and global system integrators (GSIs) with a unified platform to implement seamless and resilient data operations. It focuses on Day 2 operations — the ongoing management and optimization of data protection and storage — a domain traditionally marked by high operational complexity and manual intervention.
MeshDefend’s first major funding round, raised in late 2025, brought in $2.3 million in pre-seed capital led by Kalaari Capital, along with participation from Kettleborough VC and prominent angel investors. This funding accelerates MeshDefend’s objectives to develop its AI-native platform fully, execute go-to-market strategies, and expand operational readiness to serve large scale enterprise customers across the US, Europe, and India. The financial backing is a testament to investor confidence in Ravi and the startup’s potential to disrupt enterprise data operations.
With enterprises increasingly migrating workloads across multiple cloud services and on-premises infrastructure, data environments have become fragmented and complex to manage. MeshDefend’s AI-driven platform addresses these challenges by providing automated oversight, self-healing capabilities, and securing sensitive data at scale. This directly enhances uptime, reduces manual errors, and strengthens cyber resilience, which are critical for modern enterprises managing distributed data workloads.
Insights from MeshDefend’s founders reveal that Ravi values an “ownership mindset,” a philosophy emphasizing accountability, proactive problem solving, and perseverance. His leadership style focuses on fostering innovation, collaboration, and a rigorous approach to building reliable, scalable technology. This mindset was instrumental during his earlier roles managing complex data protection platforms and is a key culture driver at MeshDefend.
MeshDefend engages actively with global infrastructure vendors, managed service providers, and government innovation initiatives, particularly in Karnataka, India. Ravi and the leadership team advocate for policies that support AI research, infrastructure development, and startup scaling. Their efforts underscore a broader commitment to positioning India as a global innovation hub for AI-native technologies and enterprise infrastructure solutions.
Under Ravi’s technical and strategic guidance, MeshDefend fosters a culture that champions experimentation, customer empathy, and rapid iteration. The company emphasizes first-principles thinking and speed while engineering AI-native systems, ensuring that their solutions not only push technology frontiers but also solve real operational challenges faced by their customers.
With an intelligent agent-based platform at its core and strong growth momentum, MeshDefend, led in part by Ravi Chitloor, is poised to lead the next wave in autonomous data operations. The startup aims to expand its footprint globally, incorporating advanced AI capabilities to handle increasingly complex data ecosystems, enabling enterprises to achieve greater security, resilience, and operational efficiency in the coming years.
Ravi Chitloor’s journey from a distinguished engineer driving enterprise data protection at Dell to co-founding MeshDefend highlights a career dedicated to advancing data security, resilience, and operational autonomy. Through MeshDefend’s AI-native platform, he is pioneering transformative solutions that address the intricate challenges of modern, hybrid enterprise data infrastructure. As organizations continue to navigate evolving technology landscapes, Ravi’s vision and leadership place him at the forefront of a critical shift towards intelligent, autonomous, and secure data operations. The question remains: how will such AI-driven platforms reshape the future of enterprise data management in the years ahead?