AI Strategy & Use-Case Discovery
Identify where AI can create real value, prioritize opportunities, and build a responsible adoption roadmap.
- AI readiness assessments
- Use-case prioritization
- Business case development
- Governance and risk planning
DATA • AI • INTELLIGENT SYSTEMS
Architecting the data foundation for enterprise AI
We design and modernize enterprise data platforms that connect your data, simplify complexity, and create the foundation for scalable AI.
WHAT WE DO
Practical AI and data consulting
Clear recommendations, durable architecture, and implementation plans grounded in your existing environment.
Data Architecture & Modernization
Connect fragmented data sources and design scalable platforms without forcing unnecessary replacement.
- Current-state assessments
- Lakehouse and data fabric design
- Metadata, lineage, and quality
- Integration architecture
AI Agents & Automation
Automate repetitive knowledge work with secure agents, workflows, retrieval systems, and human oversight.
- Agentic workflow design
- RAG and enterprise search
- Process automation
- Prototype development
Architecture Sustainment
Improve and govern existing systems through documentation, observability, troubleshooting, and incremental change.
- System and data lineage
- Technical debt reduction
- Monitoring and support models
- Roadmaps for phased improvement
BUSINESS OUTCOMES
Technology should make the organization easier to run.
Fasterdecision-making
Lowermanual effort
Clearerdata lineage
SaferAI adoption
INDUSTRIES
Built for complex, data-intensive organizations
We help organizations modernize data environments and apply AI where reliability, governance, and measurable outcomes matter.
Aerospace & Defense
Mission systems, sustainment, engineering data, analytics, and secure AI-enabled workflows.
Manufacturing
Connected operations, quality data, predictive insights, digital thread, and automation.
Technology
Modern platforms, data products, AI integration, cloud architecture, and scalable engineering.
Enterprise Operations
Data consolidation, workflow automation, knowledge systems, and decision intelligence.
INSIGHTS
Architecture before automation
Successful enterprise AI starts with trusted data, clear lineage, scalable architecture, and a practical operating model.
Make data discoverable
Establish metadata, lineage, quality, and ownership so teams and AI systems can reliably understand enterprise data.
Connect the architecture
Integrate existing platforms through open interfaces and modern data patterns rather than unnecessary replacement.
Apply AI deliberately
Use retrieval, agents, and automation where they improve decisions, reduce manual effort, or accelerate engineering work.
Design for sustainment
Build monitoring, governance, documentation, and human oversight into the solution from the start.
HOW WE WORK
A direct path from uncertainty to execution
Understand
We assess your goals, constraints, systems, data, and operational pain points.
Prioritize
We identify the highest-value opportunities and separate practical wins from expensive distractions.
Design
We create a vendor-neutral architecture, delivery plan, governance model, and measurable success criteria.
Deliver
We support prototypes, implementation, documentation, knowledge transfer, and long-term sustainment.
WHY LUNA AI
Deep technical experience. Business-first recommendations.
LUNA AI bridges the gap between executive goals and complex technical environments. We specialize in enterprise architecture, data platforms, AI-enabled workflows, and the sustainment of mission-critical systems.
Our approach is deliberately practical: preserve what works, improve what does not, and apply AI only where it produces a defensible outcome.
Enterprise Architecture
Data Engineering
Generative AI
Cloud & Integration
Governance
START WITH A CONVERSATION
Have an AI or data challenge worth solving?
Tell us what you are trying to accomplish. We will help you determine the most practical next step.