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AI Autopilot — +6% throughput and $781K annual profit gain in a 25-day controlled pilot. Brasil Mineral #441 (Jul 2024).See Pilot Results
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Industrial

AI for Industrial Operations

Process optimization, predictive maintenance, and real-time operational intelligence. AI agents that integrate with SCADA, DCS, and IoT for continuous improvement.

Brainiall’s published mining case with SoftwareOne/AWS delivered 5–10% grinding throughput gains and ~3% energy reduction. The same multi-variable control approach extends to industrial reactors, furnaces, welding lines and CNC cells — each configured for the site’s actual constraints before go-live.

SoftwareOne/AWS case study

Solutions for Industrial

AI agents for process optimization, predictive maintenance, and operational intelligence.

Process Optimization

Continuously optimize process parameters across your entire operation. AI agents adjust setpoints in real-time based on sensor data, quality metrics, and production targets to maximize throughput and minimize waste.

Predictive Maintenance

Detect equipment degradation weeks before failure using vibration, temperature, and load pattern analysis. Schedule maintenance during planned windows to eliminate costly unplanned downtime.

Quality Control

Real-time quality monitoring using sensor fusion and AI prediction models. Detect deviations before they propagate downstream, reducing scrap rates and ensuring product consistency.

SCADA/DCS Integration

Drop-in integration with existing SCADA, DCS, and PLC systems. Read and write process data through OPC UA, Modbus, and MQTT without hardware changes or production disruption.

IoT Data Analytics

Ingest and analyze data from thousands of IoT sensors across your facility. AI identifies patterns, anomalies, and optimization opportunities that are invisible to manual analysis.

Energy Optimization

Reduce energy consumption by optimizing motor speeds, compressed air systems, and heating/cooling loads. AI coordinates across all energy consumers for plant-wide efficiency.

Industrial process control dashboard

Real-Time Process Control with AI Agents

Industrial processes operate in a constantly shifting environment of variable inputs, equipment wear, and demand changes. Brainiall AI agents monitor every process variable simultaneously, identifying the optimal operating point across hundreds of parameters. Unlike traditional PID loops that optimize individual variables in isolation, our agents coordinate all variables holistically to find the true global optimum — delivering 5-15% throughput improvements that conventional automation cannot achieve.

Predictive maintenance analytics

Predictive Maintenance That Prevents Downtime

Unplanned equipment failures are the most expensive events in industrial operations. Brainiall AI analyzes vibration signatures, temperature trends, electrical patterns, and acoustic emissions to detect degradation weeks before failure occurs. The system recommends specific maintenance actions, estimates remaining useful life, and coordinates with your CMMS to schedule interventions during planned windows — reducing unplanned downtime by up to 30%.

Digital twin simulation

Digital Twin for Safe Process Optimization

Testing process changes on a live production line carries inherent risk. Brainiall creates a real-time digital twin of your operation that enables safe what-if scenario testing, operator training, and parameter optimization without risking real production. The digital twin continuously learns from actual operational data, maintaining high-fidelity accuracy that enables confident decision-making before any change reaches the plant floor.

Enterprise operational intelligence

Enterprise-Wide Operational Intelligence

Individual plant optimization is valuable, but the real competitive advantage comes from coordinating across multiple facilities. Brainiall provides a unified operational intelligence platform that aggregates data from all your sites, identifies best practices, and standardizes optimization strategies across the enterprise. Compare site performance, share learnings, and drive continuous improvement from a single centralized command center.

Dedicated Process Pages

Deep-dive into AI Autopilot configurations for each industrial process.

Chemical reactor bay with vertical pressure vessels

Reactors — AI for CSTR, batch and PFR process control

Continuous optimization of reactor temperature, pressure, residence time, and catalyst feed. AI Autopilot maintains selectivity and yield across load swings, feedstock variability, and catalyst deactivation — without compromising safety interlocks.

Electric arc furnace pouring molten steel

Furnaces — AI for arc, induction and annealing

Optimizes electrode position, power input, temperature profile, and atmosphere composition across electric arc furnaces (EAF), induction furnaces, and annealing lines. Stable metallurgy, lower energy per ton, faster tap-to-tap.

Robotic MIG welding arm with bright arc and sparks

Welding — AI-assisted robotic MIG/TIG/laser

Vision-in-the-loop welding. AI monitors arc signature, bead geometry, and seam tracking to adjust wire-feed, current, travel speed, and torch angle in real time — dropping defect rates and reducing rework.

CNC machining center cutting a metal workpiece with coolant spray

Machining — AI for CNC feed, tool life and chatter

AI Autopilot monitors cutting force, vibration, and acoustic emission during CNC operations to tune feed rate and spindle speed in real time — pushing cycle-time down and extending tool life simultaneously.

Distillation columns in a petrochemical refinery

Distillation — AI for columns, reflux and energy

AI Autopilot optimizes column pressure, reflux ratio, reboiler duty and feed stage across crude, FCC, and specialty splits — hitting product spec with minimum steam and keeping the energy-intensive tower at its economic optimum.

Rotating granulation drum with granule bed

Granulation — AI for particle size, moisture and yield

AI Autopilot controls moisture, binder addition, spray pattern and drum rotation across pharmaceutical, fertilizer and food granulation lines — maximizing in-spec granules on the first pass and cutting recycle.

Automated packaging line with robotic arms and conveyor

Packaging — AI for line-speed, vision QA and OEE

AI Autopilot coordinates multi-station packaging lines: inspection, fill level, seal integrity, cartoning, palletizing. Cuts micro-stops, predicts changeover drift, and delivers OEE gains measured in hours recovered per shift.

Integrates via standard industrial protocols

Connects to any DCS, SCADA, PLC, MES or historian that speaks one of the protocols below — including Siemens PCS 7, ABB 800xA, Schneider EcoStruxure, Honeywell Experion, Rockwell PlantPAx, Emerson DeltaV and AVEVA / OSIsoft PI.

OPC UAModbus TCPMQTTOSIsoft PIREST / gRPCApache KafkaCSV / SFTP

Trusted partners & press

Public partnerships and publications that have validated our work.

Amazon Web ServicesSoftwareOneBrasil Mineral

Schedule Your Plant Assessment

Discover how Brainiall AI agents can optimize your industrial operations with measurable ROI within weeks.

Free operational assessment
Operator stays in control
No hardware changes