GenAI, AI agents, computer vision, predictive analytics and intelligent automation, built on trusted enterprise data rather than standalone pilots.
Most companies aren’t short on AI pilots. They’re short on AI that survives contact with production. A chatbot demo or a proof-of-concept model is easy; an AI system that plugs into real ERP, CRM and operational data, and that a compliance team will actually sign off on, is not.
We treat AI as an extension of the enterprise systems it has to work inside, not a standalone technology bolted on afterward. Every AI engagement is grounded in the data platform underneath it, so a model’s outputs are explainable and its recommendations are auditable. That matters as much to a manufacturing plant manager as it does to a transit agency’s public safety board.
Generative AI, AI agents and Retrieval-Augmented Generation (RAG)
Machine learning & computer vision
Predictive analytics & intelligent automation
AI-enabled operational and decision-support solutions
Transit AI and anomaly detection
Demand forecasting and predictive maintenance from real-time sensor data
Computer vision for safety, security and crowd-density monitoring
Predictive event management that forecasts crowd surges and operational bottlenecks before they happen
Intelligent automation for fraud detection, dynamic pricing and process automation
AI agents for operational decision support and reporting
Maintenance shifts from reactive to predictive, cutting downtime
Security and operations teams get early warning instead of after-the-fact reports
Automation removes manual reporting effort without removing human oversight
Nextera's transit AI work, including Corridor Intelligence's crowd surveillance, gunshot and loud-noise detection, and behavioral analytics, runs on real infrastructure, not in lab conditions.