Solutions · Software and integration

On-Premise and Air-Gapped AI Applications

Turn your organization's knowledge into AI applications running on infrastructure you control.

  1. 01Data sources
  2. 02Access rules
  3. 03Knowledge retrieval
  4. 04Local models and agents
  5. 05Monitoring and evaluation

Connected operations

Keep knowledge inside your organization. Help teams find the answers they need.

We develop AI applications around your needs, from document assistants to workflow automation. Together, we scope data access, model selection and deployment on internal servers or in environments isolated from the internet.

Procedures, technical archives, customer records and code repositories can make finding information a lengthy task. We start by identifying who needs which information and for what purpose.

Our custom development and integration service begins with a pilot using a limited dataset. Success criteria, security requirements and hardware capacity guide the capabilities selected for implementation.

01

On-Premise AI Deployment

We can design an application and model deployment on servers your organization manages. Hardware, concurrent users and response-time targets inform capacity planning for private cloud or local infrastructure. Docker-based distribution and environment management are scoped to project requirements.

02

Air-Gapped and Offline Operation

We plan local models, document processing and dependencies for environments without internet access. Offline installation packages, controlled updates and maintenance are considered alongside network isolation requirements.

03

Enterprise RAG and Referenced Answers

We can develop retrieval and answer generation grounded in relevant sections of internal documents. Visible references and pilot questions help evaluate freshness, access boundaries and answer quality.

  • Semantic and keyword retrieval
  • Document and section references
  • Re-indexing updated content
04

Document Analysis and Knowledge Assistants

We can scope search, summaries and comparisons across PDFs, office documents, scanned files and tables. Sample documents help test OCR requirements and determine processing steps for searchable knowledge.

05

Role and Data-Based Access Management

We design permissions around users, teams, roles and data classifications. RBAC and, where needed, ABAC inform how access boundaries should apply from retrieval through answer generation.

06

Department Assistants and AI Agent Workflows

We can develop task-specific assistants for legal, quality, production, support and HR teams. Retrieval, drafting and system actions are scoped separately, with human approval at defined stages.

  • Contract clause and obligation comparisons for legal teams
  • Procedure and nonconformity reviews for quality and production
  • Support drafts grounded in knowledge bases and past records
  • Natural-language reporting and anomaly reviews with ERP data
07

ERP and Enterprise Code Assistants

We can assess search and review scenarios for SAP ABAP, Java, Node.js and other codebases. Cross-file relationships, change suggestions and technical debt reviews remain within developer-controlled workflows.

08

ERP, CRM and Workflow Integrations

Project-specific integrations can connect ERP, CRM, document systems, file stores, databases and APIs. For workflow tools such as n8n, we define read and write permissions, approval steps and failure handling.

09

Audit Records and Model Management

We can configure usage, source access and action records around your retention policies. Real tasks guide comparisons of local models, response quality, latency and resource consumption.

Built for your business

Validate the need first. Expand the application together.

Discovery covers data sources, example tasks and security expectations, followed by a proof of concept, user pilot and deployment. The assessment defines modules, integrations, hardware and maintenance scope. Air-gapped deployment also requires verifying local alternatives for every component that depends on external services.

Plan a Technical Consultation

Enterprise AI consultation

Define the right AI scope for your organization.

Share your priority use case, data sources and deployment expectations. Together, we can define a starting point for technical assessment and a pilot.