Private AI. Zero Leaks.
Zero-Trust Security
Complete data isolation with ISO 27001 certification, GDPR compliance, and on-premises deployment options.
Custom AI Models
Tailored AI solutions trained exclusively on your proprietary data and business logic.
Complete Control
Full ownership of your AI infrastructure with granular access controls and audit trails.
We build private, secure AI environments to protect your sensitive data, conversations, and intellectual property from public model training.
Assess My AI ReadinessPrivate AI. Zero Leaks.
Zero-Trust Security
Complete data isolation with ISO 27001 certification, GDPR compliance, and on-premises deployment options.
Custom AI Models
Tailored AI solutions trained exclusively on your proprietary data and business logic.
Complete Control
Full ownership of your AI infrastructure with granular access controls and audit trails.
We build private, secure AI environments to protect your sensitive data, conversations, and intellectual property from public model training.
Public AI is an Unacceptable Gamble
Feeding proprietary information such as source code, financial data, client lists, and strategic plans into public, third-party models is a strategic blunder with tangible, enterprise-ending consequences.
Data Privacy & IP Leakage
Every prompt can be logged and used to train models that also serve your competitors, leading to permanent loss of trade secrets.
Compliance Violations
Sending regulated data (HIPAA, GDPR) to external AI vendors can lead to severe financial penalties and loss of licensure.
AI Hallucinations & Inaccuracy
Public LLMs are prone to fabricating facts, with studies showing hallucination rates as high as 88%—unacceptable for any serious business function.
Vendor Lock-in & Unpredictable Costs
Dependence on a single provider makes you vulnerable to price hikes and volatile pay-per-token costs that spiral as usage scales.
Unmatched Security • Hyper-Customisation • Improved Accuracy • Predictable Costs & ROI • Full Data Sovereignty •
Unmatched Security • Hyper-Customisation • Improved Accuracy • Predictable Costs & ROI • Full Data Sovereignty •
Choose Your Architectural Blueprint
We design and deploy the perfect private AI architecture for your specific security, performance, and financial requirements. There is no one-size-fits-all solution.
The On-Premises Fortress
All AI infrastructure resides within your own data centers for ultimate control.
Best for: Finance, defense, healthcare, and regulated industries with zero-tolerance for data exposure.
Benefits: Absolute data sovereignty, air-gapped security, lowest possible latency.
The Secure Cloud Enclave
A logically isolated, private segment of a public cloud (AWS, Azure, GCP).
Best for: Enterprises seeking agility, rapid prototyping, and access to cutting-edge hardware without massive upfront investment.
Benefits: Flexibility & speed, shifts costs from CapEx to OpEx.
The Strategic Hybrid
A pragmatic blend of on-premises and secure cloud resources.
Best for: Mature organisations seeking to optimise costs and performance across a diverse range of AI workloads.
Benefits: Optimized performance & cost, best of both worlds.
Trusted in High-Stakes Industries
We help leaders in the most demanding sectors turn their unique data into a strategic weapon, responsibly.
Finance & Banking
Deploying private conversational AI for wealth management, providing advisors with instant, secure access to proprietary research while ensuring all client data remains confidential and compliant with GLBA/SOX.
Healthcare & Life Sciences
Empowering hospitals to train diagnostic AI on private medical image repositories, improving disease detection accuracy while remaining fully HIPAA compliant. In life sciences, we help protect valuable drug discovery IP.
Legal Sector
Helping law firms perform secure e-discovery and intelligent legal research, eliminating the risk of confidentiality breaches and the legal jeopardy of using public AI tools that hallucinate case law.
Manufacturing & Industrial
Deploying private AI for predictive maintenance, quality control, and supply chain optimisation while protecting proprietary manufacturing processes and trade secrets from competitors.
Government & Defense
Supporting national security agencies with classified AI capabilities for intelligence analysis, threat detection, and strategic planning while maintaining air-gapped security requirements.
The Economics of Control
For SMEs, private AI protects your most valuable asset: your intellectual property. Stop feeding your competitive advantages to public models.
8-14
Months to Breakeven
For typical SME workloads (50-100 users), private AI infrastructure pays for itself in 8-14 months versus public AI subscriptions.
£150K+
Annual Savings
After year 1, typical SMEs save £150K+ annually on AI costs while maintaining complete IP ownership and data control.
100
IP Protection
Your proprietary data never leaves your infrastructure - zero risk of IP leakage to competitors
0
Training on Your Data
Unlike public AI, your sensitive business data is never used to train models for competitors
∞
Model Flexibility
Swap between AI models instantly - never locked into deprecated technology or vendor decisions
£0
Per-Token Costs
No surprise bills or usage limits - predictable monthly costs regardless of AI usage volume
0
Data Leakage Risk
Complete air-gapped deployment option - your competitive intelligence stays yours forever
Calculate Your Private AI ROI
Get a personalised analysis of potential savings, IP protection value, and breakeven timeline for your SME.
Quick Answers
Using public AI for any task involving proprietary data introduces unacceptable risks, including intellectual property leakage, regulatory violations (GDPR, HIPAA), and unpredictable costs. Your data can be used to train models for your competitors.
Think of it like the difference between having a private vault in your office building versus renting a secure safety deposit box at a trusted bank. The On-Premises Fortress means your AI runs on computers physically located in your own building, giving you complete control but requiring you to buy and maintain the equipment. The Secure Cloud Enclave means your AI runs on dedicated computers in a secure facility owned by a cloud provider like Amazon or Microsoft, but it's completely separated from other customers' systems. This option requires less upfront investment and the provider handles maintenance, whilst still keeping your data private and secure.
While there is an upfront investment (CapEx) for on-premises solutions, the Total Cost of Ownership (TCO) is often lower than public cloud for sustained workloads, with breakeven points typically reached in 8-14 months. It transforms AI from a volatile expense into a predictable asset.
Our service is end-to-end. We handle the complex architecture, hardware selection, software orchestration (Kubernetes, MLOps), and security implementation. We partner with your team to ensure a smooth handover and provide training, but you don't need a pre-existing team of AI infrastructure experts to get started.
We implement enterprise-grade security measures including end-to-end encryption, air-gapped networks, role-based access controls, and comprehensive audit logging. Our solutions are designed to meet stringent compliance requirements including HIPAA, GDPR, SOX, and government security standards.
Implementation timelines vary based on complexity and architecture choice. A Pilot Project typically takes 1-2 months, while full production deployment ranges from 3-9 months. We work in phases to deliver value incrementally and minimise business disruption.
Ready to Build Your Proprietary AI Advantage?
Take control of your AI. Schedule a complimentary, no-obligation Private AI Readiness Assessment with our senior architects to evaluate your use cases and define your security requirements.
Rethinking What's Possible with AI.
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Portland House, Belmont Business Park, Durham DH1 1TW
contact@openkit.co.uk
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