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.
Keep your business knowledge, documents, and approved data under your control with private AI services from AI-ABW. Built on more than 30 years of enterprise software experience, our solutions support on-premises, air-gapped, and private-network deployments for organizations seeking practical intelligence without sending company information to public AI systems.
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 artificial intelligence without sending company data to public AI systems. Deploy private LLMs on-premises, across private networks, or in air-gapped environments; connect approved documents and business data; and control access by role. Built on more than 30 years of enterprise software experience, the approach emphasizes practical capability, confidentiality, and accountable configuration.
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.
Owning your data means keeping company knowledge, documents, approved business information, and model interactions within infrastructure your organization controls. AI-ABW private AI solutions are designed to avoid sending that information to public AI systems. Depending on the deployment, the environment can run on-premises, on a private network, or in an air-gapped setting.
Talk with AI-ABW about controlled data access and practical deployment options.
Share your goals and learn which private AI approach fits your organization.
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