( Industrial AI product lab )
AI productsfor heavyindustry.
Mango Byte Labs builds AI software for mines, plants and factories. Vision, safety, procedures, documents and digital twins, designed in-house and shipped as products.
( 10 products )
The line-up.
- MBL-01
MangoVision
Computer visionSpots defects, reads handwritten forms and analogue gauges, and watches video feeds of the line.
- Automated visual inspection
- OCR for handwritten paperwork
- Gauge reading and anomaly alerts
Built for · Chemical plants and production lines
Live demoOpen - MBL-02
Automated Safety System
Risk & near-miss detectionReads cameras, sensors and logs to flag hazards and near misses before they become incidents.
- Near-miss risk rating
- Recurring hazard detection
- Alerts for the safety officer
Built for · Mines and heavy industrial sites
Live demoOpen - MBL-03
FleetWatch
Asset managementOne command centre for equipment, vehicles and crews, with live status and schedules.
- Live asset tracking
- Maintenance and shift schedules
- Operations dashboard
Built for · Fleets, plant and equipment
Live demoOpen - MBL-04
SOP Generator
ProceduresReviews old standard operating procedures, writes new ones and keeps them current with site changes and regulation.
- Gap and outdated-step detection
- Plain-English SOPs in minutes
- Updates when rules change
Built for · Packing, processing and maintenance teams
Live demoOpen - MBL-05
MineGPT
Knowledge assistantA chat assistant that answers questions from mining documentation, procedures and regulations.
- Finds the right SOP or clause
- Answers with sources
- Available around the clock
Built for · Mine managers and engineers
Live demoOpen - MBL-06
Document Manager
Document intelligenceOrganises, searches and extracts information from years of technical and safety documentation.
- AI search across every document
- Automatic key-field extraction
- Flags outdated procedures
Built for · Document-heavy operations
Live demoOpen - MBL-07
Factory Flow
Digital twinA virtual replica of a plant for testing changes to layout and process before touching the real thing.
- Simulate process changes
- Find bottlenecks
- Compare scenarios side by side
Built for · Factories and refineries
Live demoOpen - MBL-08
Digital Safety File
ComplianceBuilds and maintains the site safety file automatically, so audits stop being a scramble.
- Collects and checks safety records
- Tracks expiries and gaps
- Audit-ready reports
Built for · Contractors and site managers
Live demoOpen - MBL-09
Predictive Maintenance
Machine healthLearns how your machines behave and warns of failures before they cause downtime.
- Failure prediction from sensor data
- Maintenance timed to planned stops
- Longer equipment life
Built for · Rotating equipment and production lines
In development - MBL-10
ERP Integration
IntegrationConnects production data to finance and ERP systems for a single source of truth.
- Ends double entry
- Live cost per production run
- Works with existing systems
Built for · Manufacturers on legacy ERPs
In development
( Built for )
Every product starts on a real site floor. We design for dust, shift work, patchy signal and safety rules that are not optional.
( Under the hood )
Three engines.
Machine learning
Regression, clustering and Markov decision processes for forecasting and optimisation. Real-time object detection for vision.
Language models
Frontier and open-source models that read, summarise and write technical documents, grounded in your own data.
Automation engines
Agents and scheduled pipelines that monitor, analyse and act around the clock, and message the right person when they should.
( Questions )
What is Mango Byte Labs?
A product lab building AI software for heavy industry. We combine hands-on experience in mining, logistics and engineering with modern AI, and we build our own products rather than one-off projects.
Can I try the products?
Eight of them have live demos linked above. The others are in development. Get in touch if you want early access or to talk about licensing.
Do the products run on site?
They are designed to run in the cloud or on your own infrastructure, and to connect to the systems you already use.
Which AI models do you use?
OpenAI, Anthropic and open-source models, chosen per product for accuracy, cost and where the data needs to stay.
( Contact )
Want oneon your site?
Ask about a product, request early access or talk licensing. We reply within one working day.