Loom AI Labs

Independent applied engineering

Applied Research

Engineering investigations into reliable AI enablement for Java applications—covering live data, retrieval evidence, governed actions, privacy and tenant boundaries.

Implementation-linked · Limitations stated · Independently developed

Research lifecycle from question through limitations

Architecture study

Explicit Application Context Instead of Model Guessing

Research question: Which request context must be resolved by application code before AI orchestration begins?

Context and grounding

Reference implementation

A Governed Lifecycle for AI-Proposed Actions

Research question: How can an application accept useful model-proposed parameters without weakening trusted resource and execution boundaries?

Actions and governance

Security investigation

Tenant Identity as Orchestration Context

Research question: How should tenant identity cross retrieval and action boundaries without becoming prompt text?

Privacy and identity

Security investigation

Privacy-Aware Context Preparation for RAG

Research question: Where should detection, redaction and encrypted-original handling occur before retrieval or generation?

Privacy and identity
Design rationaleExploratory ideas and reasoning
Implemented prototypeCode and working implementation
Reproducible demoExperiments others can run
Measured evaluationEmpirical results and analysis

Only published evidence levels are claimed.