Your knowledge doesn’thave to leave the building.

AI without giving away what makes your organization valuable. The most valuable knowledge inside an organization is often the knowledge it can least afford to expose.

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Organizations want the power of AI to understand and activate the information they hold. But there is an important question.

Where does your knowledge go when you ask AI to understand it?

Instead of sending sensitive knowledge to AI, we can bring AI to the knowledge.

What organizations can least afford to expose

Proprietary research
Intellectual property
Student and institutional data
Internal strategy
Unreleased products
Operational procedures
Financial information
Accumulated organizational knowledge

Private AI, run locally.

Modern open-weight language models can operate on hardware controlled by your organization — dedicated workstations, private servers, secure on-premise infrastructure and, for certain applications, encrypted portable storage.

Artifact Intelligence can design private AI environments where the model, organizational knowledge base and intelligence layer operate within a controlled computing environment. Your proprietary information can remain within boundaries you define.

The cloud doesn't have to be the default.

An AI environment you control.

A private deployment is an assembly, not a product. These are the parts we design around the sensitivity of the knowledge itself.

Local language model

An appropriately selected open-weight LLM runs on approved organizational hardware rather than relying exclusively on a public cloud AI endpoint.

Private knowledge layer

Documents, research, policies, intellectual property and other organizational knowledge can be indexed locally for retrieval by the AI system.

Artifact intelligence layer

We build the experience around the model — search, analysis, workflows, visualization, agents and interfaces designed around the questions your organization actually needs to answer.

Controlled access

Authentication, permissions, encryption and role-based access can help determine who can reach particular systems and knowledge.

Auditability

Where appropriate, interactions can be logged within the organization's controlled environment to support governance, security review and responsible AI practices.

From an encrypted drive to a private AI appliance.

For specialized use cases, the entire intelligence environment can be designed to be portable. An encrypted external SSD can contain the model, knowledge base, retrieval system and Artifact software required to operate the environment.

The intelligence goes with you. Your proprietary knowledge doesn't have to go anywhere else.

For organizations requiring greater scale, the same philosophy can extend to dedicated AI workstations, on-premise GPU servers, private-cloud infrastructure and hybrid environments. The hardware changes.

The principle remains the same: maintain control over where sensitive knowledge is processed.

Security is more than where the model runs.

Running an LLM locally can reduce certain forms of third-party data exposure, but local deployment alone does not make an AI system secure.

Artifact Intelligence approaches private AI as a complete system.

Private AI should be designed as security architecture — not simply installed software.

Encryption at rest and in transit
Identity and access management
Role-based permissions
Network isolation where appropriate
Secure model and software updates
Data retention policies
Logging and auditing
Physical security
Prompt-injection defenses
Retrieval permissions
Backup and recovery
Human governance

Your organization already has an intelligence model.

It exists across thousands of documents, conversations, decisions, processes, research projects and years of institutional knowledge. The challenge is accessing it.

Artifact Intelligence helps organizations excavate those digital artifacts and transform them into usable intelligence — while designing the system around the sensitivity of the knowledge itself.

Excavating digital artifacts to surface intelligence.

What could your organization understand if its most sensitive knowledge could safely talk?

We are actively researching new approaches to private, local and edge AI systems for organizations with valuable proprietary knowledge.

We're interested in partnering with schools, research institutions and businesses that want to explore what becomes possible when powerful AI and responsible information security are designed together.

Prefer email? Write to hello@artifactintelligence.co

Exploring this alongside our wider research? Research Partnerships →