Private LLM Deployment
Deploy and configure a private large language model on infrastructure your organization controls — on premises, on a private network, or air-gapped — so internal information is never sent to a public AI service.
Explore private AI capabilities for organizations that need secure, controlled access to business knowledge and data. AI-ABW supports on-premises, air-gapped, and private-network deployments, helping approved employees query documents, procedures, and selected business systems without sending company information to public AI services. Built on decades of enterprise software experience, these practical solutions prioritize control, confidentiality, and useful business intelligence.
Private AI deployment, internal knowledge assistance, and governed access to approved business data — built by Info-Power International for internal company use.
Deploy and configure a private large language model on infrastructure your organization controls — on premises, on a private network, or air-gapped — so internal information is never sent to a public AI service.
Set up, configure, and support an AI environment running on customer-owned infrastructure, including the software stack, approved knowledge sources, data connections, and internal user readiness.
Give authorized employees answers drawn from approved company documents, procedures, and software documentation through a private internal assistant used inside the organization.
Connect authorized employees to approved ERP or SQL Server data through controlled, read-only access so they can ask questions in plain language and receive summaries and analysis.
Limit knowledge and data access by employee group so each role works only with the approved information relevant to its responsibilities.
Support summaries, questions, and analysis of approved sales, inventory, purchasing, production, and other operational data. The system reports on your data; it does not change records in your source systems.
AI-ABW helps organizations use AI while keeping approved company knowledge, documents, and business data within infrastructure they control. Private deployments can support internal search, grounded question answering, and controlled analysis without sending information to public AI services. For defense contractors and other privacy-bound firms, this approach provides practical intelligence while preserving confidentiality and role-based oversight.
Factual background on the company behind AI-ABW.
Info-Power International has built and supported business software since 1992, giving AI-ABW more than three decades of enterprise system experience behind it.
A privately owned United States company headquartered in Plano, Texas.
AI-ABW runs on infrastructure the customer controls — on premises, on a private network, or air-gapped. Approved information is not sent to a public AI service.
Connections to approved ERP and SQL Server data are role-based and read-only. The system answers questions about your data; it does not change records in your source systems.
A practical technology team with decades of business-system experience.
AI-ABW is the private business AI platform from Info-Power International, Inc., a privately owned enterprise software company founded in 1992 and based in Plano, Texas. For more than three decades the company has built and supported practical software for manufacturers, distributors, engineering firms, and other organizations with complex operational needs, including the ABW ERP product line and integration work across business systems. AI-ABW applies that experience to private AI: authorized employees can ask questions of approved company documents, internal knowledge, and permitted business-system data, and receive answers and analysis without that information being sent to a public AI service. The AI reports and explains; it does not make changes inside your business systems. The team's approach has not changed since 1992 — deliver real capability, charge fairly, and stand behind what it builds.
Private AI deployment runs AI models and related knowledge sources within infrastructure controlled by the organization. Depending on the environment, this can include on-premises, air-gapped, or private-network deployment. Approved employees can query internal documents, procedures, software documentation, and selected business information without sending that content to public AI services.
Talk with AI-ABW about your environment, data, and deployment goals.
Share your environment and goals to discuss a controlled AI approach for your organization.
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