BRAINR

What BRAINR does

BRAINR is an AI-powered, cloud-native MES/MOM platform built specifically for the food and beverage industry, which is identified as the 3rd least digitized industry worldwide. The platform helps food factories digitize their operations from the shop floor up, enabling full traceability, real-time visibility, and data-driven decision-making across production, quality, and logistics. It integrates seamlessly with ERP and factory equipment, empowering plant managers and operators to act faster, reduce waste, and improve efficiency. BRAINR focuses exclusively on food producers, from poultry and meat to dairy, bakery, and ready meals, allowing it to deliver features directly aligned with the unique challenges of food manufacturing, such as managing short shelf lives and adapting to dynamic production schedules.

Key capabilities

• AI-powered conversational assistant
• Virtual employees (autonomous agents)
• Automated reports and summaries
• Real-time production dashboards
• Unlimited production orders and sub-orders
• Production order splitting
• Material consumption management
• Full shopfloor worker activity log
• Labor management
• Advanced lot creation and management
• Planning and scheduling (MRP)
• Multi-factor demand forecasting (MPS)
• Scenario planning
• Capacity planning
• Mobile picking capabilities
• Warehouse unlimited movements tracking
• Multi-criteria material usage (LIFO, FIFO, FEFO)
• Inventory and expiry date reporting
• Order allocation
• Catch weight management
• Wait times control (live animal processing)
• Continuous experience between desktop, tablet, and mobile
• Responsive interface
• Real-time synchronization
• Offline modes
• Multi-user orchestration between devices
• Dashboards, navigation, and visualizations adapted to each profile
• Interface optimized for industrial environments (gloves, touch screens, reduced visibility)
• Touchscreen interfaces optimized for use with EPIs
• Quick start and immediate use
• Immediate visual feedback
• Contextual guidance
• Real-time operational KPIs monitoring
• Simple navigation concept across apps
• Timeline of all movements by batch
• Product genealogy from shelf to supplier
• Complete and accessible digital footprint
• Accessible documentation and audit readiness
• Tracking operators, equipment, and lines
• Batch and SSCC tracking
• Finished product tracking
• Cargo and shipment tracking
• Discharge and receipt tracking
• Browser-based application for PC or laptop
• Tablet application for line managers
• Smartphone app for factory floor operators
• Google Play availability
• Mobile quality controls
• Half box and half pallet movements
• Raw material receipts and returns (GS1-compatible)
• Expedition management (GS1 code support)
• Production control (record consumption, income, losses)
• Warehouse operations (real-time stock movement, transfers, location management)
• Comments and notes (contextualized communication)
• Advanced picking (guided order preparation)
• Integration with farm software (poultry slaughter planning)
• Automatic population of live-animal data at intake
• Downgrade reduction with real size distributions
• Performance feedback loop (farm vs. slaughter)
• Visibility of uniformity and live weight deviation
• Historical data for long-term improvement
• Byproduct and coproduct management
• End-to-end lot traceability
• Full slaughter and live bird management
• Mobile shipments and returns
• Multi-product palletization
• Operator and workstation history
• Powerful MRP & MPS planning module
• Production orders by type (slaughter, cutting, processing, packaging)
• Seamless integration with line equipment (scales, graders, labelers, printers)
• ERP integration without overload
• Real-time from planning to execution
• Optimized production plan suggestions
• Real-time plan editing and rescheduling
• Execution percentage monitoring
• Pull production planning
• Push production planning
• Continuous monitoring and replanning
• Finite line capacity
• Cuts, technical lists, routings and production versions
• Full ERP integration (MRP)
• Calculation of finished product needs (APS)
• Calculation and scheduling of required productions (APS)
• Real-time planning adjustments (APS)
• Monitoring the real state of each plan (APS)
• Robust and flexible calculation methodology (APS)
• Sales and purchase orders via ERP integration (APS)
• Planning based on technical lists, routings, production versions and cuts (APS)
• Planning versus execution indicators (APS)
• Simple continuous adjustments (APS)
• Fully containerized for speed, safety, and consistency
• 100% cloud, multi-tenant, and secure
• Point to point encryption
• Independent database per customer
• SOC2 and ISO27001 ready
• Automatic daily backups and full disaster recovery
• 99.9 percent uptime on AWS
• Asynchronous auditing of all user actions
• Automatic scalability
• Secure VPN connectivity to local systems
• Modern extensible API
• Automatic registration of inputs and outputs (yield optimization)
• Real-time visibility of yield, waste, and giveaway
• Deep analytics to understand what works
• Historical comparison and trend analysis
• Unified data across all factory sections
• Support for reprocessing and co-product management
• Configurable production orders (pork & beef)
• Full carcass-ID traceability
• Yield control by cut-type
• Maturation planning
• Stock grouping by customer or campaign
• Real-time OEE calculation
• Dashboards by line, shift, and section (OEE)
• Stoppage classification and analysis
• Integration with production equipment (OEE)
• Performance analysis in variable-weight processes
• Co-product and by-product traceability inside OEE
• Real-time impact of waste on OEE
• Dynamic performance vs installed capacity
• Automatic classification of line events
• Full integration with production orders and ERP (OEE)
• Real-time registration of animal wait times
• Mandatory welfare and CCP quality checks
• Tracking of welfare and performance indicators
• Immediate access to evidence and compliance reports
• Full traceability from intake to slaughter (animal welfare)
• Alerts for deviations and non-compliance
• Critical temperature logging by phase (fish & seafood)
• Production orders by section and line (fish & seafood)
• Breakage management and batch reclassification
• Dynamic MPS/MRP planning based on actual inputs (fish & seafood)
• End-to-end traceability with sanitary validation
• Mobile shipping with palletization logic by customer/export

Use cases

• Digitizing operations from shop floor up
• Enabling full traceability
• Providing real-time visibility
• Facilitating data-driven decision-making
• Reducing waste and improving efficiency
• Planning and rescheduling productions
• Connecting machines, labels, and ERP into one data flow
• Securing food safety and compliance
• Executing tasks with accuracy from intake to packing
• Driving yield, speed, and discipline across production lines
• Transforming operational control into sustainable growth and margins
• Solving missed deliveries
• Addressing unplanned downtime
• Mitigating labor shortages
• Reducing yield losses
• Managing late orders
• Preventing line stoppages
• Eliminating excess waste
• Replacing paper chaos with digital systems
• Consolidating multiple fragile apps into one platform
• Simplifying integration headaches
• Enhancing security (AWS backbone, encryption)
• Reducing support calls with user-friendly mobile apps
• Ensuring missed checks are prevented
• Streamlining audit processes
• Minimizing human error in data entry
• Accelerating slow recalls
• Clarifying confusing instructions for operators
• Preventing wrong product or label issues
• Reducing rework and wasted effort
• Eliminating paper overload
• Balancing unbalanced lines
• Reducing changeover delays
• Preventing yield leakage
• Addressing margin pressure
• Identifying growth blind spots
• Managing compliance risk
• Simplifying complexity for scalability
• Improving production scheduling accuracy
• Managing raw material arrival delays
• Aligning disconnected data sources for planning
• Handling complex dependencies between production stages
• Ensuring consistent quality for dough batches
• Planning production based on specific technical timings
• Operating in cold rooms or low visibility areas
• Maintaining functionality during connectivity drops
• Supporting rapid learning for new operators
• Running on existing factory hardware
• Preventing mistakes through visual feedback and validation
• Achieving IFS certification
• Gaining full real-time traceability across all lines
• Managing high-volume, small-batch production
• Digitizing goods-in and goods-out processes
• Eliminating manual data entry into labeling machines
• Aligning production with real demand to avoid overproduction
• Creating planning scenarios quickly
• Incorporating slaughter plans for meat and poultry processors
• Calculating production needs and purchases
• Collecting operational data at scale without human input (automated lines)
• Providing intuitive interfaces for shop floor operators (manual lines)
• Reducing warehouse storage time
• Optimizing yield and reducing waste
• Making yield variations visible
• Tracking waste and giveaway in real-time
• Informing staff of economic impact of performance
• Maximizing carcass yield in pork & beef processing
• Defining standards by cut-type, operator, and shift
• Managing maturation processes
• Aligning orders with real demand
• Ensuring animal welfare compliance in slaughterhouses
• Monitoring wait times and handling conditions
• Providing evidence during audits
• Ensuring consistent documentation across shifts
• Eliminating handling errors in fish processing
• Preventing traceability failures from sea to plate
• Avoiding breaks in the cold-chain
• Managing short shelf-life and high variability of raw material
• Rigorous cold-chain and technical-time management
• Organizing urgent shipments with custom palletization

AI approach

BRAINR leverages AI to provide a factory-aware conversational assistant, autonomous agents for routine tasks, and automated reports and summaries. Its AI models are specifically trained and fine-tuned using real data from various food production lines, ensuring relevance to the food industry.

Tech named: AI, ML, conversational assistant, autonomous agents, fine-tuned models

Industries served

• Food and Beverage
• Poultry
• Meat
• Dairy
• Bakery
• Ready Meals
• Industrial Bakery
• Pork Processing
• Beef Processing
• Fish and Seafood

What it says sets it apart

• Deep industry focus, exclusively working with food producers
• AI-powered platform for real-time conversational assistance, virtual employees, and automated reports
• Cloud-native architecture built from day one for speed, security, and flexibility
• Best-in-class user experience designed for industrial environments and operator autonomy
• Mobile-first data capture and native Android apps optimized for harsh factory conditions (cold rooms, low visibility, gloves)
• Real-time orchestration across the entire operation, ensuring synchronized systems
• Comprehensive traceability and compliance management specifically for food manufacturing (batch splits, rework, co-products, catchweight)
• Advanced planning and scheduling (APS) that adapts to daily variability and integrates multiple data sources (sales orders, forecasts, slaughter plans, stock)
• Yield optimization and waste reduction capabilities that provide a complete view across the entire factory and real-time execution visibility
• Designed to enforce and prove animal welfare, not just record it, with real-time visibility for all stakeholders
• Supports both push and pull production planning methods, ideal for variable-yield industries
• Scalable infrastructure that grows instantly with workload without maintenance windows or hardware purchases
• Integrated across production, inventory, quality, shipping, and planning in one ecosystem, avoiding fragmentation
• Models trained and fine-tuned using real data from specific food processing lines (slaughter, deboning, IV-range, packaging)
• Proven track record with significant share of food production managed in Portugal and international expansion
• Eliminates manual data entry and paper-based processes, reducing human errors and improving data accuracy

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.