Industrial AI agents work across orders, quotations, scheduling, and fulfillment—understanding factory context, making decisions, and driving execution within real manufacturing constraints
Illustrative Scenario
New task
Task queue0
No queued tasks
Active5
Archived0
All5
Work orders2
Uploads3
Today3
Flange DN125
Just now
Bracket BR-07
12 min ago
Valve V-200 Batch
1 hr ago
Yesterday2
Bushing SL-33
Yesterday
End Cover EC-12
Yesterday
M
Manufacturing Organization
Process Engineer
CAD-to-Process Agent
Upload drawing
Supports STEP, PDF, and images; matching filenames are grouped into one task
Select work order
Import unscheduled work orders from the work-order system
Describe a need, upload a drawing, or select a work order…
AI-generated content. Review carefully
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More Pioneering Factories Are Adopting AI
Black Lake Technologies has served 40,000 factories, supporting the shift from traditional surplus production capacity toward agile production driven by data and AI
Black Lake has served 40,000+ factories, supports 2 million+ users, reaches 95% decision accuracy across core agents, and covers 30+ industries
Factories served
40,000+
Users
2M+
Core agent decision accuracy
95%
Industries covered
30+
Industrial AI Platform
An Industrial AI Platform That Learns with Every Operation
It understands each factory's context—including equipment, processes, materials, and operating rules—continuously assessing risks, improving decision-making, and driving execution under real factory constraints
Automatic Intake
With Every Order Intake, the Agent Gets to Work
When an order enters our platform, our agents automatically deciphers drawings, spreadsheets, and customer details; identifies products, quantities, processes, materials, and delivery requirements; and turns demand into executable production tasks
Explore CAD-to-Process Agent
Context–Aware Reasoning
It Keeps Making Decisions Based on Your Factory Context
Every factory is unique, with its own equipment capabilities, quotation logic, and production constraints. We harness these attributes into every AI-driven decision, handling quotations, process planning, scheduling, and fulfillment to cater to your specific production needs
Learn about the Industrial Knowledge Engine
Factory Context Connected
Process Standards / Equipment Capabilities / Quotation Rules / Production Constraints
Active
<>
Conditional Logic
Match the current order against company rules
Matched
Equipment AvailableProcess MatchedDelivery Date Feasible
✓
Generate Quotation
Completed
✓
Create Process Plan
Completed
✓
Adjust Schedule
Completed
✓
Fulfillment Alert
Completed
Risk Detection
Detect Risks Before They Become Problems
Equipment downtime, material delays, schedule deviations, and urgent order changes can all affect production. Black Lake continuously analyzes how shop-floor changes impact orders and delivery, identifies risks in advance, and provides actionable recommendations
Explore Fulfillment Agent
Data sources
Equipment Status
Material Supply
Production Progress
Order Changes
Real-Time Sync
Risk analysis
Delivery risk risingEstimated impact on 2 orders
Recommendations
Adjust PlanSwap MaterialsExpedite Production
!
Delivery risk detected
A material delay may affect delivery for 2 orders
View Recommendations
Operational Alignment
Built for the People Responsible for Deliverables
From business owners and factory managers to planners and production supervisors, the staff share the same real-time production system to see order progress, capacity load, shop-floor abnormal events, and delivery risks without waiting for reporting up the chain
View Production Analytics
Owner
Plant Manager
Planner
Production Supervisor
Real-Time Sync
Production overview
Order Progress
82%
Capacity Load
76%
Abnormal Events
3
Delivery Risks
2
Abnormal event alerts
Equipment Failure●
Material Delay●
Quality Exception●
From Day One, AI Starts Understanding Your Factory
✓Order Data Connected
✓Drawing Samples Connected
✓Process Routes Ready
✓Quality Records Linked
Drawing Sample
A17-Housing-Component.dwg
⌄
Process Route Recognition
Rough Machining
Semi-Finishing
Finishing
Surface Treatment
QC & Inbound
Factory Context
AI Understanding Ready
✦
Drawing Features
Identify key dimensions and tolerances
Process Route
Match historical processes and machining sequences
Equipment Capabilities
Link available equipment and machining capabilities
Quality Rules
Learn quality standards and exception patterns
Process Planning Suggestions
Key machining requirements identified. Recommended split: 2 process steps
Ready for human review›
Scheduling Clues
Generate scheduling clues based on equipment capacity and delivery constraints
Data linked›
Quality Inspection Reminder
Recommended review: hole-position tolerance and surface roughness requirements
Continuously learning›
One Industrial AI Platform for Manufacturers of All Sizes
From emerging manufacturers to large-scale enterprises and global supply chains, Black Lake connects orders, production, and delivery within one intelligent operating system
Upstream Suppliers
Outsourced Processing
Factory / Workshop / Production Line
Warehousing
Logistics & Delivery
Downstream Customers
Operational Data
SchedulingScheduling Agent
QualityQuality Agent
StockInventory Agent
AbnormalAbnormal Agent
EquipmentEquipment Maintenance
PlanningPlanning & Scheduling
ExecutionManufacturing Execution
ProcessProcess Management
AnalyticsData Analytics
Industrial AI enablement
1Understand orders→
2Coordinate production→
3Connect delivery→
4Accumulate data
Proven, Quantifiable Business Outcomes
Validating AI-driven operational improvement in real business scenarios
Flexible Response Capability
2 weeks
Improve supply chain flexibility with AI, enabling new product testing through batch delivery in as little as 2 weeks
Generate AI-powered quotations in 5 minutes, connecting cost estimates with production execution to reduce misquotes, missed costs, and process cost overruns
For a decade, Black Lake has worked inside real order, process, scheduling, and delivery scenarios. Through serving 40,000 factories, we have continuously refined our products - not by forcing factories to adapt to software, but by building an AI platform that adapts to how factories actually operate
FIELD SAMPLE / 01
Making Shop-Floor Operations Understandable to AI
Industry Recognition
World Economic Forum Industrial AI Expert Group AI Application Star
Ministry of Industry and Information Technology Industrial Internet Outstanding Solution
National Data Administration 2025 "Data Element x" competition organised by NDA
National Standard Industrial Internet Platform
Contributing Organization
National-Level High-Tech Enterprise
Shanghai Innovative Enterprise Headquarters
Shanghai the Shanghai Academician Expert Workstation
Proprietary Intellectual Property Hundreds of Patents and Software Copyrights
Industry Recognition
From Empowering Chinese Factories to Advancing the Global Industrial AI Ecosystem
WORLD ECONOMIC FORUM
MINDS
Machine Intelligence for Manufacturing and Operations
World Economic Forum
Industrial AI Expert Group
AI Application Star
Ministry of Industry and Information Technology
Industrial Internet
Outstanding Solution
National Data Administration
2025 "Data Element x" competition
organised by NDA
National Standard
Industrial Internet Platform
Contributing Organization