Every constituent record a clerk pastes into a cloud AI tool is public data handed to a company that answers to its shareholders, not to your voters. We'll build the whole system on hardware you own instead: the agents, the orchestration, and the models that carry your jurisdiction's real work, and constituent data never leaves your network.
We start beside the records clerk, the permit tech, and the compliance officer, because that is where the work lives.
Air-gapped AI for agencies eliminates the risk of transmitting CUI, law enforcement data, citizen records, and policy-sensitive documents to commercial infrastructure.
Federal agencies face FedRAMP authorization requirements for any cloud service processing government data. The authorization process takes 12-18 months on average and limits agencies to a small pool of pre-authorized cloud AI providers. Even with FedRAMP authorization, the structural reality remains: government data sits on commercial infrastructure operated by private companies and their subprocessors. Government agencies represent one of eleven regulated industries where this structural conflict between cloud AI and data sovereignty is most acute.
Controlled Unclassified Information (CUI) falls under NIST SP 800-171, which establishes 110 security requirements across 14 control families - the same framework that defense contractors must satisfy under DFARS 252.204-7012. Cloud AI processing of CUI requires the cloud provider to meet these requirements and subjects the agency to shared responsibility models that complicate audit responses and incident reporting. For sensitive CUI categories, air-gapped processing may be the only architecture that satisfies handling requirements. Secure AI for law enforcement data, CUI, and investigative records demands this same isolation.
On-premise AI for state government agencies addresses their own data residency laws and citizen privacy requirements. Many states have enacted data localization statutes requiring certain government data to remain within state boundaries. CJIS Security Policy governs criminal justice information. IRS Publication 1075 controls Federal Tax Information. Each framework shares a common requirement: government control over the infrastructure processing government data. Tribal nations exercise parallel data sovereignty principles under OCAP and the CLOUD Act. Government AI without cloud dependency eliminates this architectural conflict entirely.
Air-gapped inference government agencies can trust. "No data leaves your facility" is not marketing language - it is a description of government-controlled network architecture.
Government data never leaves your facility. Prompts travel from workstation to server over your internal network only. No commercial cloud dependency. No vendor data processing.
Hardware you own, in your facility, on your network, under your physical security controls. What that hardware is depends on Discovery, not on our catalog, because we do not have one. Government-owned hardware processing government data.
Air-gap GPU server federal agencies can deploy with complete network isolation. Models loaded and verified before it lands. Zero external connections. Suitable for CUI environments requiring strict network separation.
A general model off the shelf knows civics the way a textbook does. It's never read your ordinances, doesn't know your permit codes from your zoning classes, can't tell your records-retention schedule from a council calendar. We build for the government you run.
Island Mountain builds the agents and the orchestration that carry the multi-step work that clogs your counters and your inboxes: a public-records or FOIA response from intake through redaction to release, permit review against the code, a council or board packet drafted the way your clerk assembles it, constituent correspondence, grant writing, and policy drafting. It runs on open-weight models that clear your jurisdiction's provenance and security policy, Nous Hermes 4 among them, served through Ollama or vLLM behind an OpenWebUI front end. We run what your policy allows, and nothing it doesn't. All of it governed by our own agentic orchestration and the Woven Security Fabric, so every action carries an identity, an approval, and a receipt, and the credentials expire when the task is done. Constituent data never leaves your network to make any of it happen.
When the work needs a model that speaks your jurisdiction, we'll build one. Reasoning models and small language models from scratch, trained to orbit your government's ontology: your departments, your ordinances, your local procedures. It learns your terminology and the cadence your staff writes in, not a generic city's.
It air-gaps completely for the work that demands it: sealed records, criminal justice information under CJIS, personnel and constituent files that can't touch an outside wire. It reaches the cloud only when a task genuinely needs to. That's your call, workflow by workflow.
Then we hand it back. On-site onboarding, SOPs written for your departments, the keys dropped into your own people's hands so they run and rework the workflows without opening a ticket with us. Want the upkeep off your IT shop's plate? We offer tiered support sized to the government you are, a county or a small town, and we plug in wherever that's easiest. This is your community's legacy. We build it alongside you, and we won't call it done until your people can run it without us.
These aren't chat prompts. They're agentic workflows the orchestration runs start to finish, each step carrying its own identity and receipt, and no constituent data leaves your network.
On-prem AI for document review: analyze policy documents, regulatory submissions, and multi-agency correspondence. Extract key findings, identify inconsistencies, and summarize complex reports without exposing sensitive government data to cloud services.
Run an on-prem LLM for FOIA request processing: assist with document identification, review, and redaction recommendations. Process large document sets locally without exposing sensitive records to cloud APIs.
Local AI for policy analysis: draft policy memoranda, regulatory impact analyses, and interagency communications. Analyze existing policy frameworks and generate structured documentation for decision-makers.
Local AI for citizen services: summarize case files, generate service documentation, and draft citizen correspondence. Process sensitive personal information entirely on government hardware.
Analyze grant applications, budget proposals, and financial reports. Summarize complex fiscal documentation and identify key findings for decision-makers.
Draft after-action reports, incident summaries, and lessons-learned documentation. Process sensitive operational data from exercises and real-world events locally.
Open-weight models that clear your jurisdiction's provenance and security policy, Nous Hermes 4 among them, served through Ollama or vLLM behind OpenWebUI. Open weights move fast, so we run the current one that fits the task and clears your rules, not whatever topped a leaderboard last spring.
When nothing off the shelf speaks your government's language, we build it. Reasoning models and small language models from scratch, trained on your ontology: your departments, your ordinances, the way your records move. Small, sharp, and yours alone.
Every model runs under our agentic orchestration and the Woven Security Fabric. Scoped access, ephemeral credentials, a receipt for every action. Air-gapped when the record demands it, cloud-connected when a task earns it.
The cloud requires FedRAMP and transmits government data to commercial infrastructure. The hardware stays on your network.
| Cloud AI | An Island Mountain Deployment | |
|---|---|---|
| Year 1 Cost | $12,000 - $48,000 (20 users) + FedRAMP overhead | One-time purchase (quoted to the deployment) |
| Year 3 Cumulative | $36,000 - $144,000 + compliance costs | Electricity only (~$1,200 - $2,400/yr) |
| Year 5 Cumulative | $60,000 - $240,000 + compliance costs | Electricity only |
| Government Data Location | Commercial cloud servers | Your facility. Government-controlled. |
| FedRAMP Required | Yes. 12-18 month process. | No. On-premises hardware. |
| CUI Handling | Shared responsibility with cloud vendor | Your security controls. Your ATO boundary. |
| Per-Token Fees | $15 - $60 per million tokens | None. Unlimited use. |
| Government System Integration | Limited by FedRAMP authorization | Not included. General-purpose AI. |
| Vendor Lock-In | Complete | None. Permissive open-source licenses. |
Knowing the boundaries matters more than knowing the features.
The models are general-purpose large language models. They're strong at reasoning, analysis, and prose generation, but they're general tools rather than government-specific AI, with no training on regulatory databases or agency document formats.
This is on-premises hardware, not a cloud service. No FedRAMP authorization is needed because no cloud is involved. The hardware operates within your agency's own Authority to Operate (ATO) boundary. This is an advantage, not a limitation.
Island Mountain hardware is suitable for CUI and sensitive-but-unclassified data when deployed inside an appropriate security environment, and it is neither SCIF-rated, NSA-approved, nor certified for classified processing. Island Mountain serves the CUI tier, not the classified tier. Classified processing runs on dedicated systems built and accredited for that work, through different procurement channels.
After the 30-day included support period, your agency is responsible for OS security updates, model updates, and general system maintenance consistent with NIST hardening guidelines. For air-gapped deployments, updates are applied via physical media.
FedRAMP compatible AI hardware that operates within your agency ATO boundary - no cloud authorization required.
FedRAMP establishes a standardized approach to security assessment, authorization, and continuous monitoring of cloud products and services. The authorization process evaluates cloud providers against NIST SP 800-53 controls. A CUI compliant AI server sidesteps this process entirely - there is no cloud service to authorize. The hardware operates within the agency's existing Authority to Operate (ATO) boundary and is evaluated as part of the agency's own system security plan.
FISMA (Federal Information Security Modernization Act) requires federal agencies to develop, document, and implement information security programs. NIST SP 800-53 provides the control catalog. NIST SP 800-171 governs CUI protection for non-federal systems. The common requirement: agencies must maintain control over information processing infrastructure. On-premises AI satisfies this structurally - the processing happens on government-owned, government-controlled hardware.
Executive Orders on AI in government (EO 14110 and subsequent guidance) emphasize both the adoption of AI capabilities and the protection of government data. OMB memoranda provide implementation guidance that increasingly favors architectures maintaining government control over AI processing of sensitive data. State and local governments face analogous requirements through state data protection statutes and local ordinances governing citizen data handling. Public school districts navigate overlapping FERPA obligations within this same state regulatory structure.
CJIS Security Policy requires criminal justice information to be processed in environments meeting specific security requirements. IRS Publication 1075 mandates safeguards for Federal Tax Information. Both frameworks restrict data processing to controlled environments - making on-premises AI the architecturally simplest path to compliance for agencies handling these data categories.
Disclaimer: This section describes the general regulatory environment regarding AI and government data protection. It is not legal or compliance advice. Consult your agency's CISO, authorizing official, or qualified counsel for guidance specific to your agency's mission, data categories, and authorization boundary.
Power & Installation: All Island Mountain systems require a dedicated 208V/30A power circuit (NEMA L6-30R). This is standard in server rooms and data closets. Most government agencies with an existing server closet already have this infrastructure or can add it for $500-$2,000 through a licensed electrician. The system fits in a standard 4U rack space. Average power draw under typical inference loads is 1.5-2.5 kW.
No. FedRAMP authorization applies to cloud service providers processing government data on shared commercial infrastructure. Island Mountain hardware is not a cloud service - it is physical AI inference hardware that agencies own and operate on-premises. No FedRAMP authorization required because no cloud service is involved. For CUI handling, NIST SP 800-171 provides the security requirements.
Island Mountain builds agents and orchestration for public-records and FOIA responses, permit review, council and board-packet drafting, constituent communications, grant writing, and policy drafting. The system runs current open-weight models for analysis and drafting, and custom models we build for your jurisdiction where the work needs one.
Cloud AI costs $50 to $200 per user per month ($12,000 to $48,000 per year for 20 users) plus FedRAMP compliance overhead and ATO documentation burden. An Island Mountain build is a one-time purchase, quoted to your workload, with no FedRAMP dependency, no ATO process, and only electricity costs ongoing. Simpler procurement. Simpler compliance.
No. Island Mountain hardware is designed for Controlled Unclassified Information (CUI), sensitive but unclassified (SBU) data, law enforcement sensitive data, and CJIS-governed criminal justice information. It is not SCIF-rated and has not been certified for classified data processing. The system does support complete air-gap operation and can satisfy many CUI handling requirements under NIST SP 800-171.
Island Mountain is an engineering practice, not a compliance authority. References to FedRAMP, FISMA, NIST SP 800-171, CUI handling requirements, or related government data protection frameworks on this page reflect factual descriptions of data handling mechanics - not legal, regulatory, or compliance advice. Consult qualified counsel for compliance determinations specific to your organization and jurisdiction.
Related: Can You Run AI Without Internet Access? | ITAR/CMMC AI Infrastructure
County government processing 10,000 citizen service requests annually. Resident data stays on county servers. No cloud vendor has access to our constituent information.
Scenario: County GovernmentState agency handling regulatory enforcement across 15 divisions. Policy documents, investigation files, and enforcement actions processed entirely on our hardware. Zero cloud exposure.
Scenario: State Regulatory AgencyFederal civilian office processing CUI daily. Air-gapped deployment within our existing ATO boundary. No FedRAMP dependency, no additional authorization required.
Scenario: Federal Civilian OfficeNo sales pitch. Tell us about your agency's requirements and we will spec a system that meets FISMA and NIST standards.
One conversation. No sales pitch. Tell us about your agency's AI needs and we will spec the right system.
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