Introducing Acaysia

Today, we're excited to publicly introduce Acaysia. We've spent the past two years developing technology that we believe will transform how chemical plants operate, and we're ready to share our vision with the world.

The Problem We're Solving

Chemical manufacturing is the backbone of modern industry. Everything from the fuel in your car to the polymers in your phone to the medications that keep you healthy comes from chemical processes. These processes are complex, energy-intensive, and require precise control to operate safely and efficiently.

Despite decades of automation advances, most chemical reactors still rely on control strategies developed in the 1940s. PID controllers—proportional-integral-derivative feedback loops—have served the industry well, but they have fundamental limitations:

• They react to errors rather than anticipating them
• They optimize one variable at a time, missing multi-variable interactions
• They can't adapt to changing conditions without manual retuning
• They operate conservatively to ensure safety, leaving performance on the table

The result? Most chemical plants operate 10-20% below their theoretical potential. For an industry with razor-thin margins and massive throughput, this represents billions of dollars in unrealized value.

Why Now?

Three converging trends make this the right time to tackle this challenge:

1. Maturing ML Techniques

Machine learning has progressed from research curiosity to production-ready technology. Advances in neural networks, reinforcement learning, and model predictive control have created tools capable of handling the complexity of chemical processes. More importantly, we now understand how to make these systems safe and interpretable—essential for industrial adoption.

2. Compute Economics

The cost of computation has plummeted while capability has soared. Tasks that once required supercomputers can now run on edge devices in the plant. Real-time optimization that would have been prohibitively expensive a decade ago is now economically attractive.

3. Industry Pressure

Chemical manufacturers face mounting pressure from multiple directions: customers demanding lower prices, regulators requiring emissions reductions, and investors expecting better returns. Incremental improvement isn't enough. The industry needs transformative solutions.

Our Approach

We're not building another generic AI platform. We're building purpose-built technology specifically for chemical reactor control. This focus matters because:

Domain Expertise is Non-Negotiable

Generic ML tools fail in chemical plants because they don't understand the underlying physics. Our team includes chemical engineers, process control experts, and ML researchers who speak both languages. We build hybrid models that combine first-principles understanding with machine learning, getting the best of both worlds.

Safety Comes First

Chemical plants handle hazardous materials under extreme conditions. Any control system must be inherently safe. We've designed Acaysia from the ground up with safety as a non-negotiable requirement, not an afterthought. Our architecture includes multiple independent safeguards, automatic fallback to proven traditional control, and seamless integration with existing safety systems.

We Meet Plants Where They Are

Chemical plants have billions of dollars invested in existing infrastructure. We don't ask them to rip and replace. Acaysia integrates with existing PLCs, historians, and control systems. It can run alongside traditional control, providing recommendations before taking any autonomous action.

What We've Built

Acaysia is a complete platform for intelligent reactor control:

• Gray-box models that combine physics with ML for accurate, interpretable predictions
• MPPI-based control that optimizes control trajectories in real-time, anticipating rather than reacting
• Phased deployment from shadow mode (observe only) through advisory mode (recommendations) to closed-loop control (autonomous operation)
• Comprehensive safety architecture with multiple independent layers of protection
• Seamless integration with existing control systems from major vendors

Early Results

We've been working with pilot customers over the past year, and the results have exceeded our expectations:

• 1-3% yield improvements across multiple reactor types
• 2-5% energy reduction through optimized temperature profiles
• Significant reductions in batch-to-batch variability
• Faster batch times through optimized operation
• Zero safety incidents related to our system

These improvements translate to millions of dollars in annual value for each plant—with payback periods measured in months, not years.

Why the Name?

Acaysia is inspired by the acacia tree. Acacias thrive in harsh environments by adapting to local conditions—exactly what we want our technology to do for chemical reactors. They're also known for their stability and resilience, qualities essential for industrial control systems.

What's Next

This announcement marks the beginning of our public journey, but we've been heads-down building for years. Our immediate priorities:

• Expanding our pilot program to more customers and reactor types
• Deepening our integration with major control system vendors
• Growing our team with exceptional engineers who share our vision
• Continuing to advance our core technology

Join Us

If you're a chemical manufacturer looking to unlock performance potential, we'd love to talk. Our technology is ready for production deployment, and we're actively seeking partners who want to lead the industry into a new era of intelligent operations.

If you're an engineer excited about applying cutting-edge ML to real-world industrial problems, we're hiring. We're building a team of people who want to make a tangible impact on how essential products are made.

The chemical industry has operated the same way for decades. We think it's time for something better. Welcome to Acaysia.