797th LLC / Research & Development
AI research and development for autonomous systems
797th LLC prototypes and stress-tests next-generation agentic systems for internal operations. Research focuses on the software architecture needed for AI agents to reason over long workflows, use tools, coordinate with other agents, retrieve knowledge, and recover from execution failures.
Research areas
- Multi-agent orchestration and parallel agent trees
- Long-horizon planning and multi-step reasoning
- Autonomous document ingestion and synthesis
- Retrieval-augmented generation (RAG)
- Tool use, function calling, and internal service integration
- Internal LLM evaluation and benchmarking
- Self-healing pipelines and automated failure recovery
- Prototype-to-product workflows for new AI systems
Applied research
Research is applied to systems such as employee operations, legal AI workflows, and HR automation. See 797th autonomous AI agent systems for the broader architecture focus.