Startup Originals Team
Groundbreaking Investment Sets Stage for Next-Generation Private Cloud Solutions:
AI-powered cloud startup Kluisz.ai has successfully closed a substantial $9.6 million seed funding round, marking a significant milestone in the evolution of cloud infrastructure for the artificial intelligence era. The funding round was led by RTP Global, a prominent global early-stage venture capital firm, with notable participation from Unicorn India Ventures, Blume Founders Fund, Climber Capital, and distinguished angel investors including Ritesh Agarwal (OYO), Dr. Ritesh Malik (Innov8), and Aditya Virwani (Embassy Group).
Visionary Leadership Behind the Innovation:
Founded in early 2025, Kluisz.ai brings together an exceptional team of industry veterans with deep expertise in cloud technology, strategy consulting, and enterprise operations. The founding trio represents a powerhouse combination of experience from leading global organizations:
Abhinav Sinha, Co-founder and CEO, brings over a decade of operational excellence as the former Global COO and Chief Product Officer at OYO, where he played a pivotal role in scaling the company from its seed stage to becoming a global hospitality platform. Prior to OYO, Sinha honed his strategic thinking as a Principal at The Boston Consulting Group for nearly five years. His educational background includes a Bachelor of Engineering in Chemical Engineering from IIT Kharagpur and an MBA from Harvard Business School.
Vamshidhar Reddy, Co-founder, contributed his extensive consulting expertise as a former Partner at McKinsey & Company for over 12 years, where he specialized in performance acceleration and digital transformation initiatives across multiple industries. His technical foundation was established during his tenure as a Senior Product Development Engineer at Advanced Micro Devices (AMD) from 2006 to 20118. Reddy holds degrees from IIT Kharagpur and Stanford University.
Abhijeet Singh, Co-founder, brings deep cloud infrastructure expertise from his role as Vice President of Cloud Technology & Infrastructure at Jio, where he architected AI-powered cloud and orchestration ecosystems for one of the world’s largest all-IP networks. His previous experience includes significant positions at AT&T, where he led software-defined network platforms and cloud architecture initiatives. Singh’s educational credentials include degrees from IIT Kharagpur and an MBA from Indiana University.
Addressing Critical Infrastructure Challenges:
Kluisz.ai is positioned to tackle one of the most pressing challenges in modern enterprise computing: the need for secure, scalable, and intelligent cloud infrastructure optimized for AI workloads. The company’s platform addresses the growing complexity of hybrid cloud environments, where organizations struggle with limited automation, poor visibility, and complex manual processes.
According to Gartner’s latest forecasts, the hybrid cloud adoption trend is accelerating rapidly, with 90% of enterprises expected to run workloads across hybrid cloud environments by 2027. This shift is driven by the need for organizations to balance the flexibility of public cloud with the control and security of private infrastructure, particularly as AI workloads become more prevalent.
The startup’s solution is particularly relevant given the current market dynamics. Gartner predicts that 50% of cloud compute resources will be devoted to AI workloads by 2029, up from less than 10% today, highlighting the urgent need for infrastructure platforms that can intelligently manage these demanding workloads.
Revolutionary Technology Platform:
Kluisz.ai’s platform represents a paradigm shift toward intent-driven, AI-orchestrated cloud infrastructure. The system is designed to be developer-first, open, with zero-trust security, providing full control across hybrid, on-premises, edge, and sovereign deployments.
Key Technology Differentiators:
Automated Intelligence: The platform allows enterprise teams to set performance, cost, and compliance targets, with the system automatically deploying and managing infrastructure to meet those specific goals. This approach eliminates the manual overhead that typically plagues traditional cloud operations.
Zero-Trust Security Architecture: In line with modern security principles, Kluisz.ai embeds zero-trust security from day one1. This approach assumes that no user, device, or system should be automatically trusted, requiring continuous verification and authentication. This is particularly crucial as zero-trust security frameworks are becoming essential for organizations managing distributed, hybrid, and cloud-native environments.
AI-Native Orchestration: The platform incorporates artificial intelligence directly into security, observability, and workload management functions. This enables enterprises to operate more autonomously with reduced manual intervention, aligning with the broader trend toward AI-driven cloud orchestration that is transforming enterprise infrastructure management.
Strategic Market Positioning:
The startup is initially targeting high-value sectors including banking and financial services, manufacturing, and industries with extensive edge-computing requirements. This strategic focus aligns with market trends showing that regulated industries are increasingly adopting private cloud solutions to maintain data sovereignty and meet compliance requirements.
The global sovereign cloud market, valued at $96.77 billion in 2024, is projected to reach $648.87 billion by 2033, growing at a CAGR of 23.8%. This explosive growth is driven by organizations’ increasing emphasis on data sovereignty, security, and compliance with local regulations.
Investor Confidence and Market Validation:
The impressive roster of investors reflects strong market confidence in Kluisz.ai’s vision and execution capability. RTP Global, the lead investor, has a proven track record of backing successful technology companies including Datadog, Delivery Hero, and Cred. The firm’s Fund IV, with a corpus of $1 billion, allocates approximately one-third of its investments to Indian startups operating in AI, machine learning, and enterprise software sectors.
Madhur Makkar, Principal at RTP Global, emphasized the team’s exceptional credentials:
“Abhinav, Vamshi and Abhijeet bring world-class experience and vision to this space. This is a team with deep technical experience and the product and market instinct to reimagine the private cloud in the AI era”.
Bhaskar Majumdar, Managing Partner at Unicorn India Ventures, highlighted the broader significance:
“Indian deep tech startups are breaking innovation barriers and with the right capital support, the highly experienced founders that are launching their businesses will put India on the global deep tech map. Kluisz.ai is taking the enterprises in the direction of AI led high performance businesses”.
Strategic Investment Utilization:
The $9.6 million funding will be strategically deployed across three key areas:
Engineering Team Expansion: Approximately 80% of the funds will be allocated to scaling the engineering team in Bengaluru, with particular focus on infrastructure and systems software expertise. The company currently operates with a lean team of 15 members and plans significant expansion to support product development.
Product Development Acceleration: The investment will fuel rapid product development to enhance the platform’s AI-orchestrated capabilities and expand its feature set for enterprise customers.
Early Customer Deployments: Resources will support initial customer implementations and proof-of-concept deployments, enabling the company to validate its technology in real-world enterprise environments.
Industry Context and Market Opportunity:
The timing of Kluisz.ai’s launch coincides with several favorable market trends. The global hybrid cloud market, valued at $134.22 billion in 2025, is forecasted to reach $578.72 billion by 2034, expanding at a CAGR of 17.63%. This growth is attributed to the rising adoption of cloud-based solutions among businesses seeking to improve operations and efficiency.
AI integration in hybrid cloud environments is significantly enhancing security and operational efficiency. AI-driven tools are automating resource allocation, workload management, and security monitoring, making them particularly suitable for organizations that prioritize data control while leveraging cloud scalability.
The private cloud automation trends for 2025 indicate a strong focus on AI and machine learning integration, edge computing capabilities, and enhanced security frameworks. Organizations are increasingly seeking private cloud solutions that can automate resource optimization, enhance threat detection, and manage costs effectively.
Competitive Landscape and Differentiation:
Kluisz.ai enters a competitive but rapidly expanding market where traditional cloud management approaches are proving inadequate for AI-era demands. The company’s differentiation lies in its intent-driven approach combined with AI-native orchestration capabilities. Unlike traditional infrastructure-as-code solutions that require extensive manual configuration, Kluisz.ai’s platform can autonomously optimize performance based on defined business objectives.
The zero-trust security framework embedded in the platform addresses growing concerns about cloud security. As organizations face increasing cyber threats, zero-trust approaches that verify every user and device continuously are becoming essential.
Future Growth Trajectory:
With its strong founding team, substantial funding, and clear market opportunity, Kluisz.ai is well-positioned to capitalize on the AI-driven transformation of cloud infrastructure. The company’s focus on hybrid and sovereign cloud deployments aligns with enterprise needs for data sovereignty, regulatory compliance, and operational control.
As Gartner predicts that worldwide public cloud spending will reach $723.4 billion in 2025, with increasing focus on distributed, hybrid, and multi-cloud environments, Kluisz.ai’s intelligent orchestration platform addresses a critical infrastructure gap in this expanding market.
The startup’s vision of creating “the first intent-driven, AI-orchestrated cloud for the next decade of enterprise workloads” positions it at the forefront of the next evolution in cloud computing, where every layer from silicon to software is optimized for performance, policy, and security without manual intervention.
