01
Grounded Intelligence
Connect AI to trusted enterprise knowledge.
- Enterprise knowledge
- Retrieval
- Source context
01 — What we do
AI With the Controls Enterprise Work Requires.
LVC designs AI for the operating environment it will actually run in: trusted knowledge, approved tools, human approval where risk demands it, and evaluation after go-live.
Generative AI and enterprise assistants
Agentic workflows with human control
Governed, production-ready AI
Capabilities
- Generative AI
- Agentic AI
- Enterprise RAG
- AI Assistants
- Voice AI
- Document Intelligence
- AI Automation
- AI Evaluation
- Responsible AI
- AI Governance
02
Agentic Execution
Create controlled agents that can use approved business tools.
- Approved tools
- Orchestration
- Bounded actions
03
Human Control
Require approvals where business risk demands them.
- Approval points
- Permissions
- Escalation
04
Continuous Evaluation
Measure accuracy, groundedness, tool execution, cost, and latency.
- Accuracy
- Groundedness
- Cost and latency
05
Secure Integration
Connect AI to enterprise systems through controlled interfaces and permissions.
- APIs
- Permissions
- System boundaries
06
Production Operations
Monitor, maintain, optimize, and improve deployed AI systems.
- Monitoring
- Maintenance
- Improvement
The LVC way, applied here.
01
Business Before Technology
Understand the operating problem before selecting tools.
02
Production From Day One
Architecture decisions consider scale, security, quality, and operations early.
03
AI Where It Creates Value
Do not force AI into problems better solved another way.
04
Cross-Functional Delivery
Software, AI, data, QA, DevOps, and design operate together.
05
Security & Quality Built In
Quality and security are part of engineering — not final-stage checklists.
06
Ownership Beyond Launch
Support the system after production and continue improving it.
Technologies we work with
OpenAIAnthropicGoogle AIAzure AIOpen-source modelsAWSMicrosoft AzureGoogle CloudReactNext.jsTypeScriptJava
How proof is published Next step
What business challenge are you trying to solve?
Tell us where technology is slowing the business down — or where AI and modern engineering could move it forward.
