Deploy fully isolated AI assistants that keep all data, models, and inference securely within your corporate network.
Services
Secure Internal AI Assistant Deployment
End-to-end deployment of secure, air-gapped AI assistants for internal enterprise use. All data, models, and inference remain within your corporate network to meet strict data sovereignty and IP protection requirements.
AIR-GAPPED ENTERPRISE AI
Secure Internal AI Assistant Deployment
Deploy a secure, air-gapped AI assistant in under 4 weeks, ensuring zero data egress and full compliance with strict data sovereignty mandates.
We engineer end-to-end solutions where all data, models, and inference remain on-premises. This eliminates cloud data transfer risks and provides ironclad IP protection for your proprietary workflows and datasets.
- Full Network Isolation: Deploy within your existing VPC or private cloud with no external API calls.
- Compliance by Design: Architect for frameworks like HIPAA, GDPR, and CMMC from day one.
- Enterprise Integration: Seamlessly connect to your legacy ERPs, data warehouses, and internal knowledge bases.
- Continuous On-Prem Training: Safely fine-tune models on your latest internal data without ever leaving your firewall.
This service is part of our broader Enterprise AI Copilot Customization pillar, which also includes solutions for Legacy ERP AI Copilot Integration and Proprietary Software AI Overlay Engineering. For the highest security requirements, explore our Confidential Computing for AI Workloads services.
ENTERPRISE-GRADE SECURITY
Business Outcomes of an Air-Gapped AI Assistant
Deploying a secure, internal AI assistant delivers measurable business value by protecting intellectual property, accelerating workflows, and ensuring compliance. Our air-gapped solutions guarantee data never leaves your network.
01
Absolute Data Sovereignty
All model inference, training data, and user interactions remain within your corporate firewall. Eliminate data leakage risks and meet strict data residency requirements for finance, healthcare, and government sectors.
0%
External Data Transfer
On-Prem
Full Deployment
02
Accelerated Internal Workflows
Reduce time spent searching internal wikis, databases, and legacy systems. Employees get instant, conversational answers from proprietary data, cutting research time by over 60%. Learn more about our approach to Enterprise Search and Retrieval AI.
> 60%
Faster Information Retrieval
24/7
Internal Support
03
Protected Intellectual Property
Sensitive R&D data, proprietary code, and strategic documents are used to train and power the assistant without exposure to third-party APIs. This is a core component of our Sovereign AI Infrastructure Development practice.
Air-Gapped
Network Isolation
Private
Model Training
04
Regulatory Compliance by Design
Built-in audit trails, access controls, and policy enforcement ensure compliance with frameworks like HIPAA, FINRA, GDPR, and the EU AI Act from day one. Explore our technical frameworks for Enterprise AI Governance.
Built-In
Audit Logging
Policy-as-Code
Enforcement
05
Reduced Operational Risk
Eliminate dependency on external AI service outages, API rate limits, and pricing changes. Maintain business continuity with a fully controlled, high-availability system that integrates with your existing AIOps monitoring.
99.9%
Controlled Uptime SLA
No Vendor Lock-in
Independence
06
Domain-Specific Expertise On-Demand
Train the assistant on your unique corporate corpus—legal documents, engineering specs, support tickets—to provide expert-level guidance, reducing bottlenecks and preserving institutional knowledge. This is powered by our Domain-Specific Language Model (DSLM) Training capabilities.
> 90%
Accuracy on Internal Data
Continuous
Knowledge Capture
A structured, predictable path to a secure, air-gapped AI assistant
Phased Deployment Timeline and Deliverables
Our proven methodology for deploying secure internal AI assistants ensures a controlled, low-risk implementation with clear deliverables at each phase. This timeline is typical for a mid-sized enterprise with a single data source.
| Phase & Key Activities | Timeline | Core Deliverables | Client Involvement |
|---|---|---|---|
Phase 1: Discovery & Architecture Design
| 1-2 Weeks |
| Stakeholder workshops Provide security policies Grant infrastructure access |
Phase 2: Secure Environment Provisioning
| 2-3 Weeks |
| Approve network design Provide security certificates Validate internal access |
Phase 3: Model Selection & Data Pipeline Integration
| 3-4 Weeks |
| Approve model selection Validate data source connections Review initial query responses |
Phase 4: Assistant Development & Security Hardening
| 3-5 Weeks |
| Participate in UI/UX review Define user roles & permissions Approve security test results |
Phase 5: Pilot Deployment & User Training
| 2 Weeks |
| Identify pilot group Participate in training sessions Provide structured feedback |
Phase 6: Full Rollout & Handover
| 1-2 Weeks |
| Approve rollout schedule Final acceptance testing Sign-off on documentation |
AIR-GAPPED DEPLOYMENT
Ideal for Enterprises with Strict Data Control Mandates
Our deployment architecture ensures all data, models, and inference remain within your corporate network, meeting the highest standards for data sovereignty and intellectual property protection.
01
On-Premises & Private Cloud Deployment
Full-stack deployment of your AI assistant within your data center or approved private cloud (AWS GovCloud, Azure Government). We manage the entire lifecycle—from initial provisioning to ongoing updates—without any data ever leaving your controlled environment.
Zero egress
Data Policy
Full root access
Client Control
02
End-to-End Encryption & Hardware Security
Implement encryption for data at rest, in transit, and in use via hardware-based Trusted Execution Environments (TEEs). Integrates with your existing HSM and key management systems for a defense-in-depth security posture.
FIPS 140-2
Compliance
TEE/Enclave
In-Use Protection
03
Compliance-First Architecture
Architected to meet stringent regulatory frameworks including HIPAA, FINRA, ITAR, and GDPR. Built-in audit trails, role-based access controls (RBAC), and activity logging ensure full transparency for compliance officers and internal audits.
NIST AI RMF
Framework Aligned
ISO/IEC 42001
Ready
04
Continuous Security Posture Management
Proactive monitoring and governance to detect and manage any unsanctioned AI usage or configuration drift. Our systems provide continuous vulnerability assessment against frameworks like MITRE ATLAS to defend against novel AI-specific threats.
MITRE ATLAS
Threat Framework
Real-time
Policy Enforcement
05
Sovereign Data Pipelines
Engineered data pipelines ensure proprietary training data and model outputs are strictly confined within sovereign borders. Enables safe contribution to global federated learning models without raw data exchange, crucial for multinationals.
Geopatriated
Data Routing
Federated Ready
Architecture
06
Certified Infrastructure & Audits
Deploy on infrastructure that meets FedRAMP, SOC 2 Type II, and ISO 27001 standards. We facilitate third-party security audits (e.g., Trail of Bits) and provide penetration testing reports to validate the security of your AI deployment.
SOC 2 Type II
Certification
Third-Party
Security Audits
Enterprise Security & Implementation
Frequently Asked Questions on Secure AI Assistant Deployment
Common questions from CTOs and security leaders about deploying secure, air-gapped AI assistants within corporate networks.
Contact
Talk to the team about your AI system.
Share what you are building, where you need help, and what needs to ship next. We will reply with the right next step.
01
NDA available
We can start under NDA when the work requires it.
02
Direct team access
You speak directly with the team doing the technical work.
03
Clear next step
We reply with a practical recommendation on scope, implementation, or rollout.
30m
working session
Direct
team access