Fintech Case Studies

This technical reference architecture details the state machine graph architecture, IBM CICS middleware integration, and post-mortem state recovery fix for a mainframe reconciliation agent swarm. Engineered with LangGraph and Model Context Protocol servers, the blueprint evaluates deterministic state recovery across simulated banking transactions.

This technical reference architecture details the AST code graph index, self-hosted vLLM inference configuration, and post-mortem KV-cache memory fix for an enterprise private code copilot. Engineered with Qdrant vector database, Tree-sitter AST parsers, and local GPU clusters, the blueprint evaluates semantic repository context retrieval without third-party API exposure.

This technical reference architecture details the multi-agent orchestration pattern, catalog vector retrieval, and post-mortem state synchronization fix for conversational retail shopping. Engineered with LangGraph, vLLM, Qdrant vector search, and Redis Stack, the blueprint evaluates sub-agent routing and state consistency under concurrent user sessions.

This technical reference architecture details the layout parsing, pgvector hybrid search, and post-mortem table boundary fix for autonomous invoice processing. Engineered with PostgreSQL pgvector, Reciprocal Rank Fusion (RRF), and self-hosted vLLM inference servers, the blueprint evaluates hybrid dense-sparse retrieval across complex financial billing formats.

This technical reference architecture details the graph database topology, vector traversal pipeline, and post-mortem connection pool fix for financial transaction monitoring. Engineered with Neo4j Graph RAG, Memgraph, and self-hosted vLLM inference microservices, the architecture evaluates decoupled in-memory traversal to discover complex anomaly patterns under strict latency constraints.

This technical reference architecture details the multi-modal vision OCR pipeline, LangGraph state machine orchestration, and post-mortem table segmentation fix for complex clinical document parsing. Engineered with AWS Bedrock Zero Data Retention endpoints and Detectron2 vision transformers, the blueprint evaluates layout parsing across multi-column medical charts.

This technical reference architecture details the privacy boundary verification, vector indexing architecture, and post-mortem latency fix for clinical trial search systems. Built on AWS Bedrock Zero Data Retention endpoints and Pinecone serverless vector indexes, the blueprint evaluates in-memory embeddings and private endpoint routing across synthetic medical notes.

This technical reference architecture details the multi-jurisdiction clause parsing pipeline, regulatory rule mapping, and post-mortem token truncation fix for automated contract review. Engineered with LlamaIndex, pgvector hybrid search, and Pydantic schema validation, the blueprint evaluates hierarchical clause indexing across complex agreements.