iLAB Vortex
AI-powered decision analytics for defense and federal logistics and operations. Vortex unifies data from across enterprise systems, runs predictive models such as demand forecasting, risk scoring, and scenario simulation, and lets users ask plain-English questions through an LLM chat interface. Every answer includes confidence scores, source citations, and explainability.
Days of Excel for simple questions
Pulling data from ERP systems, rebuilding pivots, and writing a summary still takes days for questions that should take seconds.
Static thresholds, late surprises
Reorder points and risk scores set years ago miss stockouts and readiness issues until after the fact.
No single source of truth
Logistics, demand, and document data live in separate systems with no governed way to ask across them.
Charts without decisions
Traditional BI shows what happened, but rarely predicts risk or recommends the next action with an audit trail.
Connect enterprise sources
Read-only connectors pull from ERP, databases, REST APIs, and files into a governed analytics layer.
Normalize & enrich
Inventory, orders, demand signals, and documents land in a common schema ready for models and retrieval.
Predict & simulate
Demand forecasting, risk scoring, and scenario simulation run on live operational data.
Ask in plain English
An LLM chat returns answers with confidence scores, source citations, and explainability.
Unified data layer
Integrates disparate enterprise systems into a governed foundation for analytics.
Predictive models
Demand forecasting, risk scoring, and scenario simulation embedded in operational workflows.
Natural-language interface
Ask questions in plain English and get answers with confidence scores and source citations.
Geospatial visualization
Integrated geospatial analytics for improved situational awareness.
Logistics officers
Get risk and demand answers in seconds instead of multi-day staff drills.
G-4 / J-4 directors
See a real-time readiness picture without tasking analysts for every brief.
CDOs / architects
Add an AI/ML decision layer over the existing data estate without rip-and-replace.
Intel & ops analysts
Run semantic search and cross-source correlation with cited, explainable answers.