Industrial AI Solutions
for Manufacturing, Oil & Gas, Pharma and EPC
Production-ready AI built for plants, refineries, GxP lines and project sites - integrated with your MES, SCADA, historian, ERP, LIMS and BIM systems.
Quick Answer
NeoBram delivers industrial AI across manufacturing, oil & gas, pharma, EPC and construction, BFSI and healthcare - predictive maintenance, computer vision inspection, RAG assistants, digital twins, safety monitoring, energy optimization and contract intelligence. We integrate with MES, SCADA, historians, ERP, CMMS, LIMS and BIM. Discovery in 4-8 weeks, pilot live in 6-8 weeks, enterprise rollout in 3-6 months.
Sectors We Serve
Six Industries. One Engineering Bar.
Each sector has a dedicated practice with reference architectures, integration patterns and compliance controls tuned to that industry's data, regulators and operating environment.
Manufacturing
Downtime, defects, OEE, scrap, operator knowledge loss
Explore sectorOil & Gas
Asset failure, turnaround delays, leaks, emissions, safety
Explore sectorPharma
Batch deviations, GxP compliance, visual inspection, cold-chain
Explore sectorEPC & Construction
Project delays, change orders, site safety, document chaos
Explore sectorBFSI
Fraud, AML, credit risk, KYC, customer service at scale
Explore sectorHealthcare
Clinical documentation, prior auth, radiology triage, RCM
Explore sectorCapabilities
Cross-Sector Industrial AI Building Blocks
The same eight capability patterns appear across every industrial AI program. We've deployed each in production with measurable KPIs.
Predictive Maintenance
Predict equipment failure days in advance using vibration, temperature, and historian data.
Computer Vision Inspection
Detect defects, missing PPE, leaks and safety violations at production-line speed.
RAG Assistants & SOP Chatbots
Plain-language answers from your SOPs, manuals, P&IDs, batch records and CMMS history.
Safety & Compliance Monitoring
Real-time monitoring of PPE, hazard zones, fall risk, and regulatory adherence.
Digital Twin Simulation
Virtual replicas of plants, lines and projects to test changes before touching production.
Energy & Emissions Optimization
AI-driven setpoint optimization to cut energy use, emissions and ESG reporting load.
Contract & Document Intelligence
Extract clauses, change orders, claims and risks across thousands of project documents.
Demand & Supply Forecasting
Multi-variable forecasts that align production, inventory and supply chain with real demand.
Integration
Data Sources & Systems We Integrate
Industrial AI only works when it lives inside your existing operational stack. These are the systems we connect to out of the box.
Your data, your tenant, your models
Everything runs inside your AWS, Azure, GCP or on-prem environment. No data leaves your perimeter. You own the trained models, weights, prompts and source code at the end of every engagement.
Engagement Timeline
From Discovery to Enterprise Rollout
Discovery & Strategy
4-8 weeks
Use-case prioritization, data audit, ROI model, architecture blueprint, build-vs-buy decisions.
Pilot Implementation
6-8 weeks
One high-impact use case live on real data, integrated with one or two source systems, with measurable KPIs.
Enterprise Deployment
3-6 months
Scale across plants, sites or business units with full MLOps, governance, monitoring and change management.
FAQ
Industrial AI Questions Answered
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