Revolutionary AI For Manufacturing Efficiency — No Big Data Needed

We are pioneering Reinforcement Learning and Digital Twins to build the world's most advanced production planning tool, unlocking manufacturing efficiency without relying on big data or in-house expertise.
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Paradigm Shift In Building Intelligent Industrial AI

Our Reinforcement Learning-based AI model training accelerates adoption, saving clients thousands of hours in data collection and millions in initial costs.

Seamless Integration Within 6 Weeks

Our AI is designed to integrate seamlessly with the systems you are already using.

See an example of AI scheduling embedded in an ERP planning board  ➔
Diagram of AI-powered APS production planning AI integrated with ERP, MES and shop-floor production levels, exchanging production data and AI-optimized production plans.

Our enterprise-grade technology is GDPR-compliant and meets strict cybersecurity and data protection standards.

Our solution can be deployed on-premise or securely on any cloud.

Our software requires minimal computing power and runs seamlessly on a standard laptop.

Our enterprise-grade technology is GDPR-compliant and meets strict cybersecurity and data protection standards.
Our solution can be deployed on-premise or securely on any cloud.
Our software requires minimal computing power and runs seamlessly on a standard laptop.

We Need Minimal Data To Get Started

The data we need is already available within your ERP system or stored in Excel sheets.

Equipment
Data on the availability, capacity limitations and maintenance schedules of the machines in use.
Routings
Material flow paths & sequences of production steps required for your different products.
Constraints
Information on operators and machines, tooling, or other constraints we should consider.
Orders
Records of customer orders including deadlines and priority levels.

We Set a New Benchmark
In Production Planning Performance

Our solution beats industry benchmarks and clearly outperforms traditional methods and operations research tools.

Comparison table showing AI-driven production scheduling versus traditional OR, with Phantasma’s production planning AI generating plans in 1–20 seconds, enabling freezing of production orders, dynamic replanning, and fine planning horizons from 1 day to 6 months, while traditional OR is slower and lacks freezing and dynamic replanning.

Our Features Are
Designed To Meet Your Practical Needs

Resources
Machines
Labour
Raw Materials
Constraints
Machine Capacity and Availability
Operator Skill and Availability
Tooling
Precedence Constraints
Release Date
Buffer
Inventory
Demand Variability
External Cooperation
Optimization Objectives
Meeting Delivery Dates
Setup Optimization
Meeting Priority of Orders
Throughput Optimizing
Advanced Features
Load Balancing
Alternate Machines Planning
Freezing Production Orders & Operations

Implemented In 6 Weeks,
ROI Delivered In Just 6 Months

Our innovative approach to AI model training ensures quick AI adoption in factories. We deliver and integrate tailored production planning features into your systems in 4 to 6 weeks, with customers typically seeing ROI within 6 months.

Keep Using Your Favorite Tools

Contact us to learn how we can integrate with any ERP or MES.

See how AI scheduling was integrated into Vectotax' ERP planning board  ➔

AI Solutions By Phantasma

Informed Decisions
Create optimal production plans 30% faster — in seconds, not hours — even for the most complex scenarios.
Boosting Efficiency
Our AI automatically adjusts production schedules to account for dynamic changes within factories, minimizing downtime and boosting efficiency.
No Big Data Needed
Our innovative AI model training approach removes the need for big data, enabling fast and seamless implementation.

Latest News

Explore the latest news from Phantasma as well as our articles on Industrial AI, Smart Planning and Production Optimization.

Frequently Asked Questions

How does Phantasma answer to feature requests?
What type of data is required to get started with customised AI-driven planning?
How digitally mature should a factory be to be able to use Ai-driven planning?