Garlip provides private AI infrastructure, on-premise LLM deployment, sovereign AI systems and enterprise AI governance for regulated industries and those who want total control. Deploy AI inside your own environment with complete control over data, models, security, compliance and costs.
Public AI clouds extract value at every layer — from your data to your wallet. On-premises deployment returns the advantage to where it belongs.
Prompts, completions, and embeddings never leave your perimeter. No training on your confidential data. No exposure under foreign subpoenas. Audit-ready by design for FCA, GDPR, and sector-specific regimes.
Pin model versions. Define inference policies. Maintain immutable audit trails. When a public provider changes terms, deprecates a model, or suffers a breach — you're insulated. Your AI behaves the way compliance demands, not the way a vendor decides.
Inference running locally eliminates the round-trip to a distant data centre. No shared-resource throttling, no cold-start delays. Consistent sub-50ms response times for real-time applications — trading desks, legal review, live property search.
Token costs scale with usage — which means every efficiency gain you create flows back to a vendor. Garlip's on-premises model converts variable token spend into predictable infrastructure cost, eliminating the growth tax on your AI adoption.
What happens when the renter turns you off, ramps up the token costs, changes the model, or changes the rules?
The regulated industries Garlip serves — financial services, commercial property, creative IP — cannot afford to build on borrowed infrastructure. The question is not whether to adopt AI. It is whether you control it, or it controls you.
Built and operating across financial research, real estate, and creative rights protection — each system entirely within client infrastructure.
Garlip is a Private AI Platform and Enterprise AI Platform designed for organisations that require full control, compliance, and performance at scale. It is not another SaaS chatbot — it is an AI Governance Platform built for regulated, high-trust environments.
Deploy AI your way with On-Premise AI and On-Premise LLM infrastructure, enabling complete isolation from external cloud dependencies. This enables true Enterprise LLM Deployment with auditability, policy enforcement, and infrastructure ownership.
Designed for sovereignty-first organisations, Garlip delivers Sovereign AI and full AI Data Sovereignty, ensuring sensitive data never leaves your controlled environment. This makes it a Secure AI Platform trusted by industries where governance is non-negotiable.
Unlike public AI tools, Garlip is a Private ChatGPT Alternative purpose-built for internal enterprise use cases — from Financial Services AI compliance workflows to Commercial Property AI analytics and automation, and even Copyright AI systems for intellectual property protection and verification.
Whether you are modernising internal systems or building a fully isolated AI stack, Garlip provides the foundation for secure, governed, and scalable intelligence across your organisation.
Common questions from organisations considering private AI infrastructure, sovereign AI deployment and enterprise LLM governance.
Private AI Infrastructure means AI models, databases, vector stores and inference engines operate within your own controlled environment rather than on a public AI service. Your data, prompts and outputs remain under your governance and security policies.
Public AI services process requests through third-party infrastructure (via api or direct) and often charge per token. An on-premise LLM runs entirely within your organisation's environment, providing full control over data handling, model versions, security policies and operating costs.
Yes. Financial services, legal firms, healthcare providers, government organisations and commercial property businesses often require strict control over confidential information. Private AI enables stronger governance, auditing and compliance compared to public AI platforms.
For organisations with significant AI usage, private infrastructure can eliminate ongoing token fees and unpredictable consumption charges. Costs become infrastructure-based and more predictable, allowing unlimited internal usage without per-query billing.
Yes. Garlip can deploy AI systems within private cloud environments, dedicated infrastructure or fully on-premise deployments. The architecture is designed to integrate with existing security, governance and operational requirements while maintaining full data sovereignty.
Copyright detection, rights management, and royalty intelligence built on private AI infrastructure. Your creative corpus never leaves your control.
Private AIFull-stack AI infrastructure deployment — model selection, hardware, inference engine, and governance layer — inside your own environment.
Financial ResearchInstitutional-grade company profiling, real-time news synthesis, and multi-asset screening — governed data, zero third-party exposure.
Commercial PropertyPrivate geospatial AI for commercial property search, market analysis, and transaction intelligence across UK districts.