Enterprise AI.
On Your Terms.
Self-hosted models. Fine-tuned on your data. Infrastructure you own. No API dependencies. No data exposure. No surprises.
The Problem
API Dependency Is a Liability
Large enterprises want frontier AI capabilities. But building on third-party APIs introduces risks that no enterprise should accept.
Data Exposure
Every API call sends proprietary data to third-party servers. Your competitive intelligence, customer data, and trade secrets — routed through infrastructure you don't control.
Cost Uncertainty
Token-based pricing means unpredictable costs that scale with usage. One viral feature or busy quarter can blow through budgets with no ceiling in sight.
Vendor Lock-in
Building on proprietary APIs means building on someone else's roadmap. Model deprecations, pricing changes, and rate limits — all outside your control.
What We Do
AI Infrastructure That You Own
End-to-end consulting for enterprises building self-hosted AI capabilities — from hardware selection to production deployment.
On-Premise LLM Deployment
Run frontier open-weight models on hardware you own. From $25K workstations to multi-node clusters, configured for your specific workloads.
- Hardware configuration and optimization
- Open-weight model selection and benchmarking
- Inference optimization for production workloads
- Scaling from single workstation to multi-node clusters
Custom Fine-Tuning
Transform proprietary data into competitive advantage. Domain-specific models trained on your data, without sensitive information leaving your environment.
- Domain-specific model training
- Training pipeline development
- Data preparation and governance
- Evaluation and iteration frameworks
AI Infrastructure Strategy
Make informed build-vs-buy decisions with hardware ROI modeling, model evaluation, and integration architecture designed for production.
- Build vs. buy analysis
- Hardware ROI modeling
- Model selection consulting
- Integration architecture design
Data Pipeline & Governance
Enterprise-grade data workflows that enable AI analysis while maintaining strict compliance. Multi-LLM consensus systems and secure gateway architectures.
- Secure data workflows for AI training
- Multi-LLM consensus architectures
- Compliance-first pipeline design
- Proprietary data protection frameworks
Why Livit AI
Built on Reliability Engineering
Livit AI was founded out of oil & gas reliability engineering — an industry where systems must work, data is sensitive, and downtime costs millions.
That rigor now applies to enterprise AI. No hype. No half-built demos. Production systems that deliver measurable ROI.
8+
Years in Enterprise
100%
On-Premise Focus
Background in mission-critical industrial systems where downtime costs millions
Machine learning pipelines for industrial maintenance data analysis
Multi-LLM consensus labeling systems and MCP Data Gateway architecture
8+ years serving Fortune 500 energy clients with enterprise data systems
Where downtime costs millions, systems must work. We bring that same standard to AI.
Livit AI
Get In Touch
Have Questions?
Ask about our services, approach, or how we can help your organization build AI capabilities you actually own.
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