Data & AI for Industrial Operations
Transform complex industrial operations into intelligent, data-driven systems
For clients running critical systems, the biggest barriers to efficiency are siloed operational data, the inability to build solutions for data-driven decision-making, and the inability to scale AI use cases across operations. We solve this by bridging the gap between the shop floor and the enterprise — building the robust data foundations and advanced AI engines required to optimize operations and secure your competitive advantage.
Data Platform & Engineering
Engineer the scalable, secure infrastructure required to ingest, store, and process massive volumes of complex industrial data.
Cloud data lakes, modern data warehouses, and automated high-throughput pipelines
Real-time operational data feeds for advanced analytics and business intelligence
Secure retrieval architectures (RAG) for querying proprietary document archives
Clean, governed, and reliable data continuously available at scale
Use cases: Unifying multi-site factory sensor data into a single, governed cloud data lake. Engineering secure data pipelines and retrieval architectures for querying proprietary maintenance manuals.
Advanced Analytics & Optimization
Apply operations research, statistical modeling, and complex mathematics to solve the most demanding industrial problems.
Custom optimization algorithms and dynamic simulation models
Prescriptive analytics engines delivering hard ROI through resource efficiency and waste reduction
Capture of hidden domain knowledge and vague business guidelines, translated into explicitly modeled rules and constraints
End-to-end operational excellence through data-driven decision-making
Use cases: Dynamic energy consumption optimization for heavy processing plants. Production scheduling and yield optimization in continuous manufacturing.
Machine Learning & Computer Vision
Give operations teams unprecedented predictive intelligence and automated control.
Custom predictive maintenance models built for your specific physical environment
Edge-native computer vision pipelines for quality inspection and defect detection
Shift from reactive to proactive operations by anticipating failures before they occur
Real-time worker safety and hazard zone monitoring at speeds impossible for human operators
Use cases: Automated, real-time defect detection on continuous assembly lines using high-speed edge inference. Predictive failure modeling and anomaly detection for critical energy grid equipment.
MLOps, Governance & AI Lifecycle
Provide continuous operational management, monitoring, and compliance tracking of AI models deployed in business-critical systems.
Automated CI/CD pipelines for machine learning and model-drift monitoring
Robust AI governance frameworks ensuring models remain accurate, compliant, and trustworthy
Safety monitoring for AI models operating in hazardous or regulated environments
Full lifecycle management from initial deployment through ongoing retraining
Use cases: Automated retraining pipelines for seasonal energy demand forecasting models. Safety and accuracy monitoring dashboards for computer vision models in hazardous areas.
Why Forge Data & AI
Theoretical depth where it matters
Our team includes mathematicians and theoretical physicists who actively research the boundaries of language and machine learning models. We know where AI fails — and we build systems that account for it.
Mathematics and modeling rigor
We apply operations research and statistical modeling at a level most data teams can't match. This means optimization that actually holds under real industrial constraints, not just in controlled conditions.
Change before technology
Data and AI initiatives fail when organizations aren't ready to use them. We work on the operating model and decision-making processes alongside the technical build — so your investment translates into lasting behavioral change, not just a dashboard nobody opens.
End-to-end ownership
We don't hand off models and walk away. Our MLOps practice ensures your AI remains accurate, safe, and valuable over its entire lifecycle.