Private LLM deployment
On-premise and air-gapped model hosting inside an organization’s own environment, where data boundaries and operational control matter.
Engineering capabilities
From model to mission.
We design and engineer the systems that make AI useful in real organizations—within their data boundaries, security requirements, and day-to-day workflows.
What we engineer
The capability stack.
These capabilities are not a menu of disconnected services. They are building blocks we combine when a venture or product needs them.
RAG & retrieval
Enterprise retrieval systems grounded in proprietary data, with attention to source quality, permissions, and useful answers in context.
AI agent development
Autonomous and multi-agent workflows with clear responsibilities, bounded tools, and governance designed into how the system operates.
LLM fine-tuning
Domain-specific model customization shaped by the actual task, available data, and the requirements of the deployment environment.
AI governance & safety
Adversarial testing, runtime policy enforcement, traceability, and compliance automation for systems that need accountable operation.
Cybersecurity
Offensive security, penetration testing, and AI-assisted threat detection to find weaknesses and strengthen defenses.
MLOps & infrastructure
Production ML pipelines, model serving, and observability that help teams operate and improve deployed systems.
Biotech AI
Deep learning applications in drug discovery, protein engineering, molecular generation, and genomics.
How we apply the stack: Start with the user’s workflow and the deployment boundary. Choose only the model, data, security, and operations components the product needs to work reliably.
A practical standard
Secure enough to trust. Simple enough to use.
Technical sophistication only matters when it survives real data, real users, and real operating conditions.
Engineering a product
Tell us where the current system breaks.
We’re interested in hard AI and security problems with a clear path to production.
harsh@legacyedge.io ↗