EnclaveAI — Control for AI at runtime.
A policy-driven governance layer that evaluates AI traffic, applies configurable enforcement decisions and records audit-ready context. Built around tiered detection, privacy-aware checks and agent safeguards.
A selection of engineering projects, prototypes and reference implementations across regulated workflows, knowledge systems, predictive intelligence and computer vision. Each demonstrates a specific problem and a deliberate technical approach.
Explore the business context, project scope, representative scenarios and what a pilot could evaluate.
A policy-driven governance layer that evaluates AI traffic, applies configurable enforcement decisions and records audit-ready context. Built around tiered detection, privacy-aware checks and agent safeguards.
A multi-engine insurance claims analysis system combining machine learning, document inspection, relationship analysis and explainable results.
A healthcare claims intelligence prototype bringing denial prediction, coding checks, appeals prioritization and agent-assisted review into one workflow.
An edge-first parking platform exploring vehicle detection, space occupancy, pricing logic, operational alerts and a unified dashboard.
A legal document intelligence system using structurally aware chunking, hybrid retrieval and a reflection layer to improve evidence selection.
A government-scheme discovery and eligibility assistant using intent-aware retrieval, self-correction patterns and cost-conscious model routing.
A multi-agent marketing operations architecture bringing research, campaign workflows, approvals, memory and performance oversight into one system.
A legal RAG application combining domain-oriented retrieval with monitoring designed to make legal document analysis more inspectable.