On-Premise AI for Defense Contractors & Regulated Industries
Request a Custom QuoteDefense contractors and regulated industries face an impossible choice: use cloud-based AI platforms that violate data sovereignty requirements, or spend millions on enterprise data platforms. Avondale.AI eliminates that choice. Our Sovereign AI IT Platform runs entirely on your hardware, processes data locally, and meets defense contractor compliance requirements — at a price point that fits an IT department budget, not a defense program budget.
Every AI query, document, and knowledge base entry is processed on hardware you control. Nothing leaves your network.
Natural language queries about your IT environment, answered from your knowledge base using local RAG. Streaming responses with citations.
Document framework with completion tracking, readiness grading, finding colorization, and PDF/Word export with code block support.
Comprehensive IT discovery questionnaire with progress tracking. Identify gaps, document infrastructure, and track remediation.
Multi-file upload with device-organized storage, manifest tracking, and analysis reports with remediation steps. PDF/Word export.
Multi-file upload with ZIP auto-extraction, screenshot and document attachments, and processed capture archiving.
Search across all knowledge base documents, discovery responses, session logs, and security documentation. Instant results.
Data collection methodology, data sovereignty, and system security documentation pages built into the platform.
Timeline tracking with start times, key findings, and next steps. Engagement time logging for billing and accountability.
Live data collection from Intune, Entra ID, M365, and Defender. Real-time dashboards with deep-link action buttons. (Professional & Enterprise tiers)
Admin, Editor, and Viewer roles with per-user access control and audit logging. (Enterprise tier)
Three tiers designed for organizations of different sizes and complexity. All tiers include the sovereign security guarantees.
Pricing is subject to change at any time. Hardware is procured by the client; Avondale.AI provides specifications and recommends vendors. Additional users available at $50/user/month over included count.
How Avondale.AI compares to other AI platforms on the market. We encourage you to verify these figures independently.
| Product | Annual Cost (50 users) | Sovereign? | IT-Specific? | KB Management? |
|---|---|---|---|---|
| Avondale.AI Basic | $30,000/year | YES | YES | YES |
| Avondale.AI Professional | $48,000/year | YES | YES | YES |
| Avondale.AI Enterprise | $78,000/year | YES | YES | YES |
| Microsoft 365 Copilot | $18,000/year | NO (cloud) | Partial (Intune) | NO |
| Glean Enterprise Search | From $30,000/year | NO (cloud) | NO | NO |
| ChatGPT Enterprise | $60/user/mo (150-seat min.) | NO (cloud) | NO | NO |
| Palantir Foundry | Contact for pricing | YES | YES | YES |
Avondale.AI is the only sovereign AI IT platform in the mid-market range ($30K–$78K/year). Cloud competitors are cheaper but cannot be used by defense contractors with classified or export-controlled data. The only sovereign competitor requires enterprise-scale budgets.
The platform is provided under a Managed Service License Agreement. Key terms:
Support and uptime commitments by tier. All tiers include remote maintenance windows scheduled with the client.
| Commitment | Basic | Professional | Enterprise |
|---|---|---|---|
| Response Time | Next business day | 8 hours | 4 hours |
| Uptime Target | 99.5% | 99.7% | 99.9% |
| Model Tuning | Quarterly | Quarterly | Monthly |
| Support Channel | Email + Phone | Dedicated channel | |
| On-Site Visits | Not included | 1/year | 2/year |
Hardware is procured by the client based on Avondale.AI specifications. Recommended refresh cycle is 4–5 years. Tier upgrades can be performed in place without data migration.
| Upgrade | Method | Downtime |
|---|---|---|
| Basic → Professional | License key activation | None |
| Professional → Enterprise | License key + role configuration | < 1 hour |
| Hardware refresh | Data export → new hardware → data import | Scheduled maintenance window |
| Model upgrade | Remote deployment by Avondale.AI | < 30 minutes |
The platform is designed to meet or exceed the controls required by the frameworks most relevant to defense contractors and regulated industries. The table below reflects how each framework maps to the platform's built-in controls — not a third-party attestation.
| Framework | Alignment | Basis |
|---|---|---|
| NIST SP 800-171 | Exceeds | Local inference, zero data export, full audit trail, air-gap capable |
| NIST SP 800-53 | Exceeds | AC, AU, SC, IA, MP control families addressed by architecture |
| CMMC 2.0 Level 2 | Aligned | Practices map to 800-171; documentation artifacts provided |
| HIPAA Security Rule | Compatible | Encryption at rest, access controls, audit logging, no PHI egress |
| SOC 2 (TSC) | Designed to meet | Security, Availability, Confidentiality criteria designed in; formal audit is client-initiated |
| ISO/IEC 42001 (AI Management) | Aligned | AI risk register, model governance, documented AI lifecycle controls |
| PCI DSS | N/A | Platform does not process, store, or transmit cardholder data |
Each deployment ships with a documentation set that maps platform controls to framework requirements. These documents are generated from the platform itself and are exportable in PDF and Word format.
Control-by-control implementation statement covering boundary, architecture, and operating environment.
Data handling, retention, and subject-rights documentation aligned to the client's privacy posture.
Tamper-evident logging of authentication, queries, data access, and administrative actions.
Recovery point and recovery time objectives, backup topology, and tested restore procedures.
Roles, detection sources, containment, eradication, and post-incident review procedures.
Inventory of model risks, mitigations, ownership, and review cadence aligned to ISO 42001.
Sovereignty is a deliberate choice, not a limitation. The platform is not sovereign because cloud was unavailable to us — it is sovereign because the client's data, queries, and knowledge must never leave the client's control.
Spending an additional $50,000 on a third-party platform does not make this platform more secure. The controls are already complete: local inference, zero data export, full audit trail, air-gap capable. What remains is the client's operating discipline, not more software.
We do not act as gatekeeper to the client's data, models, or audit logs. The client holds the hardware, the credentials, the network, and the export. Avondale.AI holds the software and the responsibility to maintain it.
That is what sovereign means.
Platform controls map to the 14 domains of NIST SP 800-171 that underpin CMMC Level 2. The included SSP and Plan of Action & Milestones template support a C3PAO assessment. Avondale.AI does not perform the assessment — that remains with an accredited C3PAO of the client's choosing.
The platform is designed to meet the Security, Availability, and Confidentiality Trust Services Criteria. A formal SOC 2 Type II report is a client-initiated engagement with an independent CPA firm. Avondale.AI supports the audit by providing control documentation and evidence export.
Cloud provider attestations (FedRAMP, SOC 2 for IaaS, ISO 27001) do not transfer to the client's data when the client's data leaves the client's boundary. The sovereign architecture renders these attestations unnecessary for the platform's workload — the data never enters the cloud provider's boundary.
Compatibility means the platform's controls do not conflict with the HIPAA Security Rule and can be deployed in a HIPAA-controlled environment. A Business Associate Agreement is available for deployments handling PHI. The client remains the Covered Entity responsible for the overall compliance program.
Running AI on hardware you control is not just a security decision — it is an environmental one. The table below compares the resource footprint of a sovereign deployment against an equivalent cloud AI workload.
| Resource | Cloud AI | Sovereign AI |
|---|---|---|
| Water (evaporative cooling) | ✕ Hyperscale evaporative cooling, often in water-stressed basins | ✓ Minimal water use; on-premise cooling sized to actual load |
| Data transmission waste | ✕ Every query and response traverses the internet; redundant energy spend | ✓ Zero transmission — inference is local, no network egress |
| GPU utilization | ✕ GPUs idle ~70% of the time waiting for tenant demand | ✓ GPUs are either working or powered off — no idle tax |
| Visibility & accountability | ✕ No visibility into provider power mix, water source, or waste | ✓ Full visibility — you measure your own power, water, and hardware lifecycle |
| Hardware lifecycle | ✕ Opaque; shared across tenants; e-waste not client-controlled | ✓ Client owns refresh cycle, reuse, and responsible disposal |
Our sovereign deployments are paired with an optional Environmental Module that quantifies power draw, cooling load, water use, and hardware lifecycle impact — and benchmarks them against the cloud workload you replaced.
Explore Environmental Responsibility →