Secure On-Premise Generative AI for Sensitive Data
AirLock AI is a generative AI solution that keeps you in control of your data and AI models. AirLock AI is self-contained, so it can operate behind a firewall, within your organization’s secure environment, even offline - ensuring complete data privacy.
Data Security
AirLock AI operates entirely on local servers, eliminating any risk of external data exposure.
Access Management
Data access controls for each user are inherited from your existing network permissions, ensuring that information is accessible only to authorized personnel.
Enhanced Productivity
Automates tasks such as document drafting, contract proposal generation, and software development - enabling up to 50% productivity gains.
Integration Flexibility
Integrates with your existing enterprise infrastructure without requiring data transfer or reorganization, allowing for quick and efficient deployment.
FAQs
Find answers to your most pressing questions about Airlock AI and its capabilities.
AirLock AI is an on-premise alternative to ChatGPT that runs on on your computer or local network. It does not connect to the internet, ensuring complete privacy of user data. This empowers our customers to leverage Large Language Models (LLMs) confidently, even when working with sensitive and proprietary information.
AirLock AI boosts work efficiency by assisting workers with tasks such as document writing, contract proposals, and software development.
With AirLock AI, your Business Development team can generate the first draft of a technical proposal with zero hours of engineering support!
Unlike other AI software that requires sending sensitive data over the internet, AirLock AI runs on your company’s infrastructure, keeping your data private.
Our primary clients are in the Aerospace, Security, and Defense sectors, dealing with proprietary, sensitive, and U.S. Government data. For them, the risk of sharing information with online AI services is not an option.
However, AirLock AI is available to any organization concerned about protecting their data and owning their AI models.