Private AI.
Your Data. Your Infrastructure.
Deploy enterprise-grade AI assistants, document intelligence, and autonomous workflows without sending your data to external AI providers. Everything runs on your infrastructure.
Trusted by engineering, energy & manufacturing leaders
By the Numbers
Why Organizations Choose Private AI
Keep your sensitive data on your infrastructure while unlocking the full potential of AI.
The Hidden Risk
The Shadow AI Problem Your Company Doesn't Know It Has
Your employees are using personal AI accounts for work — and it's costing you more than you think.
Data Leakage
Every conversation, document, and prompt your employees enter into personal AI accounts trains external models. Company IP, internal strategy, technical specs, and client data flows to third-party servers — permanently.
Lost Institutional Memory
When employees build expertise with AI — crafting prompts, refining workflows, building knowledge bases — all of it lives in their personal accounts. When they leave, that accumulated intelligence leaves with them. No institutional knowledge is preserved.
Wasted Budget
Every employee paying $20-200/month for personal AI accounts adds up fast. A 50-person team burns $12K-120K/year with zero central management, no volume discounts, and no company-wide standardization.
No Governance & Compliance Risk
With no central oversight, you cannot control what data enters AI systems, enforce data retention policies, or audit usage for regulatory compliance (GDPR, SOC 2, industry-specific requirements).
What We Offer
Enterprise Private AI Services
End-to-end deployment of private AI infrastructure, document intelligence, industry-specific assistants, and autonomous workflows.
Private AI Infrastructure
Design and deployment of local AI clusters using Open WebUI, Ollama, Qdrant, Vector Databases, and AI workflow platforms on your infrastructure.
- On-premise AI server deployment
- Vector database integration
- Load-balanced inference clusters
- High-availability architecture
Document Intelligence
Turn contracts, procedures, manuals, correspondence, specifications, and reports into searchable AI knowledge systems.
- Automated document ingestion
- Semantic search across repositories
- Multi-format support (PDF, DOCX, CAD)
- Version-controlled knowledge bases
Industry-Specific AI
Custom AI assistants tailored for construction, energy, manufacturing, legal, and engineering organizations.
- Domain-trained language models
- Industry terminology adaptation
- Regulatory compliance integration
- Role-based assistant personas
Fine-Tuned AI Models
Train company-specific AI systems using internal knowledge, documentation, and historical business data to create proprietary intelligence assets.
- Custom model fine-tuning
- RAG pipeline optimization
- Continuous learning pipelines
- Performance benchmarking
AI Agents & Automation
Automate repetitive workflows using intelligent agents and business process automation that integrate with your existing tools.
- Workflow automation agents
- System integration connectors
- Report generation pipelines
- Scheduled intelligence tasks
Process
How We Deliver Your Private AI
A proven 5-step methodology from assessment to go-live, typically completed in 4–8 weeks.
Assessment
1-2 weeksWe begin with a thorough evaluation of your current infrastructure, data landscape, security requirements, and AI readiness to identify the optimal deployment strategy.
Infrastructure Design
1-2 weeksOur engineers design a tailored AI infrastructure architecture, specifying hardware requirements, network topology, storage systems, and deployment models.
Knowledge Integration
2-4 weeksWe ingest your documents, databases, and knowledge sources into a secure, searchable AI knowledge base with proper indexing and access controls.
AI Deployment
1-2 weeksYour private AI platform goes live with configured models, workflows, user roles, and integrations. We validate performance against your specific use cases.
Training & Support
OngoingWe train your team on system operation, provide comprehensive documentation, and offer ongoing support for optimization and expansion.
Cost Analysis
Private AI vs. Cloud AI: The Real Cost
When you add up the hidden costs of cloud AI, private deployment is not just safer — it's cheaper.
| Factor | Cloud AI | Private AI |
|---|---|---|
| Monthly API Cost (50 users) | $5,000–$20,000 | $2,500+ (Starter) |
| Per-User License | $20–$30/user/month | Included in fixed price |
| Data Security | Your data trains external models | Data never leaves your infrastructure |
| Institutional Memory | Per-user accounts, lost on departure | Centralized, persistent knowledge base |
| Customization | Limited to model capabilities | Fine-tuned on your data and workflows |
| ROI Timeline | Monthly: costs increase with usage | Hardware pays for itself in 2–12 months |
Don't let your company's data and budget leak through personal AI accounts. A private AI deployment pays for itself — in security and savings.
Calculate Your SavingsCase Studies
Real Results Across Industries
See how organizations are transforming their operations with private AI deployment.
Challenge
A leading EPC contractor managing 15+ concurrent projects needed a way to centralize project knowledge, automate document review, and reduce response time on RFIs from weeks to days.
Solution
We deployed a private AI platform with document intelligence across 50,000+ project documents, automated RFI response generation, and cross-project knowledge sharing.
Results
- 85% reduction in RFI response time
- 60% faster document retrieval across projects
- Centralized knowledge base serving 500+ users
- $2.3M annual savings in document management costs
Challenge
A power plant operator with 30+ years of technical documentation scattered across paper archives, PDFs, and legacy systems needed an intelligent assistant for shift operators and maintenance teams.
Solution
Deployed a local AI system ingesting 10,000+ pages of manuals, procedures, and schematics with a natural language interface for troubleshooting and procedure guidance.
Results
- 50% faster equipment troubleshooting
- 100% digitization of paper archives
- Consistent procedure adherence across shifts
- Preserved knowledge from retiring engineers
Challenge
An engineering firm managing 5,000+ active contracts across multiple jurisdictions needed automated clause analysis, risk detection, and obligation tracking.
Solution
Implemented a contract intelligence platform with AI-powered clause extraction, risk scoring, and automated obligation tracking across the entire contract portfolio.
Results
- 90% faster contract review cycles
- Automated detection of 95% of high-risk clauses
- Real-time obligation compliance dashboard
- $1.8M recovered in missed entitlements
Challenge
An engineering consultancy with 1,200+ engineers needed a unified knowledge system spanning civil, mechanical, electrical, and process engineering disciplines.
Solution
Built a multi-domain AI knowledge platform with discipline-specific assistants, cross-reference capabilities, and automated specification compliance checking.
Results
- 70% faster specification cross-referencing
- Interdisciplinary knowledge discovery
- Automated compliance verification
- 40% reduction in design rework
Your Data Stays Yours
Security Built Into Every Layer
We deploy entirely on your infrastructure. No data ever leaves your network. No external AI providers ever touch your documents.
On-Premise Deployment
Your AI runs entirely on your infrastructure behind your firewall. No data ever leaves your network.
Local LLMs Only
All language models run locally. No external API calls. No third-party model providers accessing your data.
Full Data Ownership
You retain complete ownership and control of all data, models, and configurations. Nothing is shared or harvested.
Air-Gap Capable
The entire system can operate fully air-gapped from the internet. No external connectivity needed for core functions.
Role-Based Access
Granular permissions ensure users only access information relevant to their role and clearance level.
Enterprise Backup
Enterprise-grade backup, replication, and disaster recovery procedures keep your AI platform resilient.
FAQ
Frequently Asked Questions
Common questions about private AI deployment, security, and our process.
Ready to Deploy Private AI?
Schedule a free AI Readiness Assessment. We will evaluate your infrastructure and identify the highest-impact use cases for your organization.
No commitment required. We will show you exactly what private AI can do for your business.