Advancing the Frontier of Autonomous Enterprise Intelligence
Our research group investigates foundational intersections of multi-agent reasoning, deterministic state machines, and verified workflow synthesis for business operations.
Core Research Thrusts
Multi-Agent Workflow Synthesis
Developing specialized agent topologies capable of decomposing complex SiOps operations into provably correct, reversible transactions.
Structured Enterprise RAG
Grounding LLM reasoning against strict relational schemas, graph ontologies, and temporal ledger entries with zero hallucinations.
Supply Chain Probabilistic Forecasting
Hybrid neural-symbolic models combining machine learning with constraint satisfaction for resilient manufacturing MRP.
Verifiable Safety & Guardrails
Deterministic sandboxes and formal verification ensuring autonomous agent actions comply strictly with corporate audit limits.
Recent Publications & Whitepapers
Open publications and technical reports from our engineering research labs.
Agentic SiOps: Towards Provably Safe Autonomous Action in Enterprise Ledgers
Investigating formal verification boundaries for LLM tool-calling against double-entry accounting state invariants.
Temporal Graph RAG for Dynamic Multi-Echelon Supply Chain Disruption
Modeling real-time shipping delays, bill-of-materials dependencies, and alternate supplier routing using temporal graph embeddings.
Confidential Local Inference for Zero-Leakage Financial SiOps Audits
Securing proprietary enterprise ledger insights using hardware enclaves and privacy-preserving model adapters.
Collaborate with our research team
We partner with leading academic institutions, PhD fellows, and industrial research labs.