Private AI, deployed on hardware in your building
We design, install, and maintain the entire AI stack—from the physical appliance and AI models to the networking, security, storage, monitoring, and integrations around them. Everything runs inside your environment, giving you the capabilities of modern AI without sending sensitive information to outside services.
Whether you need a secure internal assistant, document search, workflow automation, data analysis, or custom AI applications, we build a system around your organization's requirements—and support it throughout its lifecycle.
Privacy by design
Your prompts, documents, databases, and AI-generated outputs remain on infrastructure you control. They do not need to pass through a third-party AI provider or be stored in an external environment.
We configure access controls, authentication, encryption, logging, and data-retention policies around the way your organization operates. This gives you clear control over who can use the system, what information they can access, and how that information is handled.
Cost-effective at scale
Cloud AI services can become expensive as usage grows, particularly when many employees, large document collections, or high-volume workflows are involved. A private AI appliance provides dedicated computing capacity for your organization without charging for every request, token, or document processed.
We size the system to match your current needs while allowing room for future growth. The result is a more predictable cost structure, fewer surprise usage charges, and infrastructure that can support multiple AI applications across the organization.
Reliable—even when the internet goes out
Because the models and supporting services run locally, your team can continue using AI tools when the internet is unavailable or an external provider experiences an outage.
This makes private AI especially valuable for facilities with limited connectivity, operational environments where downtime is costly, and organizations that cannot allow essential workflows to depend entirely on a cloud service. Local processing can also reduce latency, providing faster and more consistent responses.
Built for compliance
Private deployment gives your organization greater control over where information is stored, how it is processed, who can access it, and how long it is retained. This can make it easier to align AI use with internal governance policies, contractual obligations, and industry-specific requirements.
We design the system with safeguards such as role-based access, audit logging, network segmentation, encryption, backup policies, and controlled model updates. We also work with your security, legal, and compliance teams to ensure the deployment fits within your existing risk-management framework.
Integrated with your existing systems
Private AI should work with the technology your organization already uses. We connect the system to on-premises applications, cloud platforms, databases, document repositories, identity providers, and internal business tools.
These integrations allow employees to search organizational knowledge, summarize documents, analyze operational data, draft content, and automate repetitive processes without moving sensitive information into a separate public AI platform. Access permissions can follow your existing identity and authorization rules, helping ensure users only receive information they are already permitted to view.
Fully managed from installation onward
We handle the complete deployment: hardware selection, installation, model configuration, security hardening, integration, testing, monitoring, maintenance, and upgrades. We can also customize models and applications for your organization's terminology, documents, and workflows.
As your needs evolve, we help expand capacity, introduce new capabilities, and keep the system secure and effective. You get the benefits of private AI without having to assemble and maintain the entire platform yourself.
Contact us