The Rise of Kluisz.ai: Private Cloud GenAI at the Enterprise Core
The demand for secure, enterprise-grade generative AI is growing rapidly, especially in regulated industries where public-cloud solutions often fall short. In response to this pressing need, deeptech startup Kluisz.ai has announced a successful funding round, raising $9.6 million to enhance its private cloud GenAI infrastructure. Led by RTP Global, the investment also drew support from Matrix Partners India and Neeraj Arora’s Venture Highway.
Founded in 2023, Kluisz.ai is positioning itself as the go-to GenAI platform for organizations seeking the power of large language models without compromising on security, privacy, or compliance. With the latest funding, the company plans to accelerate product development, team expansion, and deployment across sectors like banking, healthcare, and government.
Background: The AI Opportunity with Enterprise Constraints
As generative AI models like GPT, Claude, and Gemini make headlines, enterprises face a significant challenge: how to adopt AI responsibly without exposing proprietary data or violating compliance mandates. Public cloud-based models can be powerful but often lack the control, transparency, and isolation needed by industries governed by strict data laws such as HIPAA, GDPR, and RBI’s IT frameworks.
Kluisz.ai was born out of this gap in the market. Headquartered in Bengaluru, the startup’s core product delivers LLMs that can be fine-tuned and hosted within the enterprise’s own infrastructure or on their preferred private cloud providers (like AWS GovCloud, Azure Stack, or on-premise Kubernetes clusters).
Co-founder Sidharth Agarwal, an IIT alumnus and former AWS AI engineer, said in a recent interview:
“We saw enterprise CIOs excited about AI but frustrated with existing solutions. They wanted sovereignty over their data, control over fine-tuning, and observability across pipelines. That’s what Kluisz.ai delivers.”
What Kluisz.ai Offers: Customizable, Compliant AI Stacks
Kluisz.ai’s platform is designed to support a full AI lifecycle, from data ingestion to model deployment and compliance monitoring. Key features include:
- Custom Model Deployment: Host popular open-source models like Mistral, LLaMA, Falcon, or Kluisz’s own models.
- Zero Trust Architecture: Designed with confidential computing and role-based access.
- Compliance Dashboards: Built-in audit logs, alerts, and regulatory templates.
- Enterprise Integration: APIs for Salesforce, SAP, Elastic, and custom enterprise apps.
- Data Sovereignty Support: Ensures no data leaves the customer’s boundary.
This approach not only gives organizations complete control over their AI stack but also helps them meet sector-specific mandates that forbid sensitive data from leaving the country or the organization’s internal network.
Why Investors Are Excited About Private Cloud GenAI
With LLMs projected to become core enterprise tools, investors are scouting for infrastructure startups that can enable wide-scale, secure adoption. RTP Global, which led the round, sees Kluisz.ai as part of a “second wave” of AI adoption, one rooted in enterprise-grade controls and trust.
Galina Chifina, Partner at RTP Global, commented:
“The first wave of GenAI was exciting but chaotic. We believe the next phase will be about control, compliance, and composability. Kluisz.ai is building precisely for that.”
Venture Highway and Matrix Partners India both participated in Kluisz’s pre-seed round and re-invested in this round, signaling continued confidence in the team’s execution and technical depth.
Competitive Landscape: A Crowded Yet Young Market
While the GenAI infrastructure market is heating up, Kluisz.ai is carving a distinct space. Competitors like Runway, Cohere, and Anthropic have focused on cloud APIs or creative use-cases. Kluisz.ai’s emphasis on infrastructure, security, and compliance gives it an edge for financial services, healthcare providers, legal firms, and critical infrastructure companies.
Notably, Kluisz.ai does not aim to build the “next ChatGPT.” Instead, it offers the infrastructure rails to deploy, monitor, and manage generative models in a sovereign, secure manner.
Use Cases Already in Production
Kluisz.ai claims several early enterprise deployments across BFSI and government:
- A public sector bank is using the platform to analyze regulatory filings and generate audit reports using its internal data.
- A healthcare startup is generating summaries of clinical trial documents using fine-tuned LLMs hosted entirely on its private cloud.
- A logistics enterprise is building a multilingual chatbot that interfaces with ERP data—again, without any external API dependencies.
These early wins are not just proofs of concept—they’re validation that private cloud GenAI is a necessity, not a niche.
Talent, Roadmap, and Global Ambitions
The startup currently employs around 30 people across engineering, customer success, and research. With the new capital, Kluisz.ai plans to double its team size by early 2026, hiring AI/ML engineers, DevSecOps specialists, and compliance consultants.
In terms of product roadmap, the company is focused on:
- Expanding model support (for multimodal and RAG architectures)
- Launch of a compliance-first AI Assistant builder
- Expanding to Southeast Asia, MENA, and parts of Europe
Despite being a relatively new player, Kluisz.ai has already caught the attention of regulators, with ongoing pilot discussions in Singapore, UAE, and India’s Ministry of Electronics and IT.
The Future of Enterprise AI Is Private, Secure, and Modular
Kluisz.ai’s success reflects a deeper trend: the future of AI for enterprises will depend on trust, not just intelligence. As boards demand accountability, and regulators raise scrutiny, AI adoption will need to mature beyond flashy demos.
Private cloud GenAI represents that next step, and Kluisz.ai is moving quickly to own the category.
