Nethopper has announced a significant upgrade to its Kubernetes AI Operations Platform, empowering enterprises to deploy and operate private Generative AI with enhanced speed and security. This update addresses the increasing demand for AI solutions that maintain data privacy while reducing implementation time from months to days.
With 88% of organizations increasing GenAI investments in 2025, enterprises require fast deployment and quick ROI. However, data privacy remains a top concern, with 66% of executives citing it as a major AI risk (BCG AI Radar survey). KAOPS provides a secure way to democratize AI within private environments, ensuring data protection and control while enhancing AI-driven insights.
Chris Munford, CEO & Founder of Nethopper, stated:
“Using ChatGPT for business without private data is like scrolling YouTube or Instagram without an account—you get plenty of content, but it’s not personalized or truly useful. KAOPS changes that by letting businesses securely integrate their private data, delivering tailored AI-driven insights while ensuring complete data protection and controlled access to a smarter, more valuable AI.”
Features of the KAOPS Upgrade:
- Rapid AI Model Deployment: Enterprises can securely deploy AI models in private environments.
- Flexible AI Integration: Supports any datacenter, cloud, Kubernetes, AI model, GPU, or private data source.
- ChatGPT-Like Experience for Employees: Secure AI access to private corporate data.
- Comprehensive AI Software Suite: Ready-to-use tools for immediate AI utilization.
- Autoscaling for Cost Efficiency: Optimizes cloud resource usage to control expenses.
Enterprise AI Challenges Addressed by KAOPS:
- Data Privacy & Security: Ensures AI deployment within corporate networks, eliminating risks associated with public AI services.
- Faster Time to Value: Enables IT teams to deliver AI capabilities within days rather than months.
- Cost Reduction: Optimizes resources, reducing the need for additional hires.
- Regulatory Compliance: Provides full control over data access and AI outputs.