# The Acaysia Control System

> For the complete documentation index, see [llms.txt](https://acaysia.com/llms.txt); a single-file corpus of every page is at [llms-full.txt](https://acaysia.com/llms-full.txt). Every page in that index is served as Markdown: append `.md` to its URL or send `Accept: text/markdown`.

Canonical: https://acaysia.com/product

Enterprise-grade edge compute appliance with MPPI optimization for physical processes. Proven first on chemical reactors. Drop-in deployment, millisecond failsafe, continuous learning.

[Book a discovery call](https://acaysia.com/contact.md)

## NVIDIA Jetson Orin Edge Compute

Enterprise-grade edge compute in a compact, industrial form factor.

## Built for Operations Technology

Purpose-built for the unique requirements of physical process control. Proven first on chemical reactors.

### Compute — Edge Computing

NVIDIA Jetson Orin delivers deterministic, low-latency inference. Complete air-gapping available for sensitive environments.

### Optimization — MPPI Control

Model Predictive Path Integral (MPPI) brings advanced process control (APC) to unit operations, computing trajectories under constraints while PIDs execute steady-state control.

### Visibility — Operator Dashboard

Transparent interface showing setpoints, constraints, and confidence. Historian replay and one-click rollback included.

### Safety — Failsafe Design

Automatic reversion to plant PID on any fault. Multi-layer watchdogs and health monitors ensure continuous safe operation.

### Learning — Continuous Learning

On-premises time-series storage with secure export for retraining. Reactor-specific models with versioned rollback, trained at scale on the [AcaysiaRT high-throughput GPU simulation runtime](https://acaysia.com/engines/acaysia-rt.md), the [AcaysiaDRT 3D spatial simulation engine](https://acaysia.com/engines/acaysia-drt.md), and [Rete](https://acaysia.com/engines/acaysia-rt.md#rete) for whole-plant flowsheets with recycle.

### Connectivity — Standard Protocols

OPC UA and EtherNet/IP connectivity to plant DCS/PLC systems. Historian hooks for full auditability.

## Vendor Integration

- [Siemens](https://www.siemens.com/global/en/products/automation/systems/industrial.html)
- [Rockwell Automation](https://www.rockwellautomation.com/en-us.html)
- [Beckhoff](https://www.beckhoff.com/en-us/)
- [Schneider Electric](https://www.se.com/us/en/)
- [ABB](https://new.abb.com/control-systems)
- [OPC UA (OPC Foundation)](https://opcfoundation.org/)

## System Architecture

Edge AI-powered control with multi-layer safety and continuous learning capabilities. Detailed specifications available under NDA.

- [Interactive Architecture](https://acaysia.com/architecture/)
- Safety Docs (access-gated — request access at founders@acaysia.com)

## Deployment Journey

From observation to optimization in controlled stages.

### Phase 01 — Shadow Mode

Install edge unit near PLC and connect via standard protocols. System observes reactor dynamics for 2-4 weeks, learning behavior without touching control. Compare AI predictions against actual PID performance.

### Phase 02 — Advisory Mode

AI provides optimization recommendations while operators maintain full control. Review predictions, build confidence in the model, and refine safety constraints based on plant-specific requirements.

### Phase 03 — Closed-Loop Control

Activate autonomous operation within your defined safety envelope. System co-manages control with PID, automatically reverting on any fault or operator request. Full audit trail and event logging maintained.

### Ongoing — Continuous Optimization

Models improve with every batch cycle. On-premises retraining with versioned rollback ensures performance improves continuously while maintaining safety guarantees.

## See Acaysia in Action

Schedule a personalized demo to see how our intelligent control system can optimize your specific process.

[Book a discovery call](https://acaysia.com/contact.md)