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 documented about 2% less energy per tonne (20.7 vs 21.1 kWh/t) in grinding, alongside +6% throughput in a 25-day AI-versus-manual test at Mineração Aurizona (CMOC Group). The same multi-variable control approach extends to industrial furnaces, welding lines and CNC cells — each configured for the site’s actual constraints before go-live.
SoftwareOne/AWS case studySolutions 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.
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 key process variable simultaneously, identifying the optimal operating point across complex operational parameters. Unlike traditional PID loops that optimize individual variables in isolation, our agents coordinate variables holistically to balance throughput, quality, and energy consumption.
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 — shrinking unplanned downtime and extending asset life.
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-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.
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.
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.
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.
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 — 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.
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.
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
Programs & partners
The program we are part of and the publication that reported our results.
In the press
Schedule Your Plant Assessment
A paid engagement, delivered as consulting or as the first stage of a project: under NDA, we study your process data and deliver a prioritised opportunity map and a measurement plan for a controlled AI-versus-manual test.
Operational plant assessment
Operator stays in control
No hardware changes