onprem.ai provides turnkey on-premise enterprise AI servers and an operating system for local LLM deployment, replacing cloud AI services with plug-and-play local infrastructure. The complete stack integrates NVIDIA RTX and H100/H200 hardware, security-tested models, and OpenAI/Anthropic-compatible APIs through a user-friendly web interface. Data stays entirely within the company, meeting GDPR and air-gapped environment requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises face a dilemma when adopting AI: cloud-based LLM services require sending sensitive data to external providers, creating security, privacy, and compliance risks under regulations like GDPR. Meanwhile, building on-premise AI infrastructure in-house is complex and time-consuming, requiring the assembly of hardware, software, model management, and operations from multiple vendors with no single point of responsibility.
Solution
onprem.ai offers a vertically integrated, turnkey solution that combines pre-tested GPU servers and mature datacenter software into a unified platform for running enterprise AI completely on premises. The platform provides a hardware-verified model catalog with carefully tested LLMs such as Llama, GPT-OSS, and Mistral, plus OpenAI- and Anthropic-compatible REST APIs, enabling a direct drop-in replacement for cloud AI services without code changes. An intuitive web interface handles deployment, monitoring, and alerts, while governance features map security controls to ISO 27001 and SOC 2 and support deliberate, auditable updates even in air-gapped environments. The solution is available as a complete integrated stack or as software-only for companies with existing infrastructure.
Target Audience
Primary customers are mid-sized to enterprise companies in privacy-sensitive sectors such as finance, healthcare, legal, and public administration that need powerful AI and LLM capabilities without compromising data sovereignty or regulatory compliance. The platform also serves IT teams looking for a simple turnkey AI infrastructure solution with a single vendor point of contact.
Features
- Hardware-verified model catalog with clear maturity levels and automatic VRAM checks before deployment
- Fully OpenAI- and Anthropic-compatible REST APIs secured by an authenticated gateway, enabling drop-in replacement of cloud services
- Centralized web interface for real-time status, alerts, and usage monitoring across the entire AI infrastructure
- Governance and security controls mapped to ISO 27001 and SOC 2, with auditable and deliberate updates, even in air-gapped environments
- Deployment options for single server or cluster mode, with support for Kubernetes and NVIDIA RTX PRO 6000, H100, H200, and GH200 GPUs
- Continuous model updates tested and verified in an internal AI Lab, covering latest releases from OpenAI, Meta, Mistral, DeepSeek, and more