Plantcore AI
Building the first Industrial Vertical Large Language Model
The Key Insight
Our customers pay us to build our data moat
This solves the fundamental chicken-and-egg problem in industrial AI
Traditional Approach
- • Need data to build AI model
- • Can't get data without customers
- • Can't get customers without working model
- → Stalemate
Our Approach
- • AI agents deliver immediate 10%+ ROI
- • Factories pay us to deploy agents
- • Agents capture decision data as byproduct
- → Paid to build our moat
Revenue-generating agents that collect the data to train the world's first Industrial LLM
The Problem & Our Solution
The Problem
Manufacturing factories make thousands of critical decisions daily—which supplier to choose, how much inventory to maintain, when to adjust production schedules. Yet this invaluable operational knowledge is lost forever.
Traditional ERP systems capture transactions, not decisions. Workers rely on experience and intuition, leading to decision fatigue, inconsistent outcomes, and lost institutional knowledge when employees leave.
Our Solution
We are building the world's first Industrial Vertical Large Language Model to fundamentally transform how manufacturing organizations make decisions, accumulate knowledge, and drive continuous improvement.
By creating an AI-driven decision intelligence layer that sits above traditional ERP systems, we enable factories to capture, standardize, and amplify the collective wisdom embedded in millions of daily operational decisions—unlocking unprecedented efficiency, agility, and competitive advantage.
Method — Starting from Decisions
AI Agents generate direct value and capture decision points where ERP systems cannot reach. These agents deliver immediate ROI while creating a sustainable stream of decision assets.
AI Agents
2025-2026Deployed across factories to assist with critical decision-making in procurement, inventory management, production planning, and quality control. These agents provide immediate operational value while continuously learning from human expertise.
Direct Business Impact:
- • 10%+ procurement cost reduction
- • 7% inventory shrinkage reduction
- • Real-time decision support at scale
CDO Data Platform
2026-2028Captures and standardizes Contextualized Decision Outcomes—transforming raw operational choices into structured, machine-readable knowledge assets. This platform creates a unified language for industrial intelligence across diverse manufacturing contexts.
Key Capabilities:
- • Decision context capture and normalization
- • Cross-factory knowledge transfer
- • Real-time learning from outcomes
Industrial Vertical LLM
2028-2030Trained on millions of validated decision samples to become the "operating system" of Industry 4.0. This foundation model understands manufacturing context at unprecedented depth, providing intelligent guidance that adapts to each factory's unique environment and challenges.
Transformative Potential:
- • Predictive decision intelligence
- • Automated best-practice discovery
- • Continuous optimization at scale
This three-layer architecture creates a systematic foundation for industrial knowledge accumulation, transfer, and amplification across global manufacturing networks—transforming how factories learn, adapt, and compete in the digital age.
Current Progress
From concept to deployed solutions
Factory Partnerships
Collaborating with garment manufacturing and alloy production facilities—validating our approach across diverse industrial contexts and operational challenges.
AI Agents in Production
Inventory Management Assistant and Export Trade Assistant deployed and operating in real factory environments, generating decision data daily.
Validated Concept: Procurement Optimization
The Discovery
Through field research at an auto parts manufacturing facility, we observed procurement managers manually comparing suppliers across multiple platforms—a time-intensive process prone to errors and missed opportunities. Workers relied purely on experience, leading to decision fatigue and inconsistent outcomes.
Our Solution
We developed an AI procurement agent that automates price comparison, supplier inquiry, and material selection optimization—learning from each decision to improve recommendations.
Validated Impact
Single procurement decision, field-validated savings
Stage 1 Development Funded
Secured initial funding to develop and deploy core AI agent infrastructure. Currently focused on expanding agent capabilities and scaling to additional factory partners.
Near-Term Roadmap
Next 12-18 months of execution
Scale Agent Deployment
- • Expand to 10-15 factories
- • Deploy 50+ agents
- • Validate 10%+ ROI consistently
Launch CDO Platform
- • Standardize decision capture
- • Begin cross-factory learning
- • Accumulate 10K+ decisions
Seed Round & Scale
- • Raise seed funding
- • Expand to 50+ factories
- • Begin LLM prototyping
Path to 2030
Staged milestones with systematic de-risking
Validate Unit Economics
2025-2026- • 10-50 factories
- • 500-2,000 agents deployed
- • Prove 10%+ ROI consistently across sectors
✓ De-risk: Will customers pay for agents?
Build Data Moat
2026-2027- • 200-1,000 factories
- • 5,000-20,000 agents deployed
- • Launch CDO platform for cross-factory learning
✓ De-risk: Can we capture quality decision data at scale?
Train Industrial LLM
2027-2029- • 2,000-5,000 factories
- • 50,000-100,000 agents deployed
- • Begin LLM training on millions of validated samples
✓ De-risk: Does the data train a useful model?
Operating System of Industry 4.0
2030- • 10,000 factories connected
- • 150,000+ agents deployed
- • Full Industrial Vertical LLM deployment across global manufacturing
✓ Result: World's first Industrial LLM serving as the decision OS for Industry 4.0
Global manufacturing network with comprehensive decision intelligence coverage
Comprehensive decision capture covering all critical industrial processes
Core Belief
The True Industrial Revolution
At Plantcore AI, we believe the true industrial revolution is not the replacement of workers by machines, but the creation of an intelligent decision network—powered by an Industrial LLM—that redefines the relationship between humans and production, opening new possibilities for the industries and societies of the future.
We are building technology that amplifies human expertise rather than replaces it, creating a symbiotic relationship where AI systems learn from human judgment while providing unprecedented decision support and insights. This is the foundation for a more productive, sustainable, and human-centric industrial future.
Get in Touch
Interested in learning more about Plantcore AI or exploring partnership opportunities?