ArthOS

The operating layer for water—turning fragmented signals into continuous, explainable decisions.

The Platform

Interconnected Layers.

ArthOS is a reasoning system built as four interconnected layers—structure, behavior, state, and decisions—working together as one operating loop. ArthOS deploys modularly, starting with decision intelligence and expanding into a full operating loop over time, with advanced capabilities activated through enterprise deployments as data maturity grows.

ArthChat

Decision interface in production today. The operations interface for ArthOS lets teams ask “why,” investigate evidence, and turn engineering logic into decisions they can trust—without losing traceability.

System Intelligence: ArthChat
Evidence Stream
Influent surge
+14% flow
Polymer feed drift
-8% dose
Clarifier state
Settling slow
Why did turbidity spike after midnight?
Correlated surge flow and lower polymer feed. Settling efficiency dropped 11%.
Evidence chain: influent sensor, feed pump logs, clarifier profile.
Decision Trace Confidence 0.92
Action
Dose +12%
Impact
Turbidity -18%
Window
Next 2 hrs
Grounding: Process Logic v4.0.2

ArthFlow

Process structure in private beta deployments. ArthFlow captures how the system actually works—units, streams, constraints, and dependencies—so every metric and action has context and lineage.

System Intelligence: ArthFlow
Process Graph
Units, constraints, dependencies
Hydraulic 98%
Energy 1.12 kWh/m3
Headloss stable
Influent
Mixing
Clarifier
Filter
Effluent
Return
Constraint: UV dose limit
Grounding: Structure & Constraints v4.0.2

ArthSim

Scenario engine in controlled beta with enterprise operators. ArthSim forecasts outcomes, tests mitigations, and keeps models aligned with reality through continuous calibration—so “what-if” becomes operationally usable.

System Intelligence: ArthSim
Scenario Studio
Forecast horizon 72h
Baseline +8% Polymer Storm inflow
Now +24h +72h
Baseline
Risk 0.18
Polymer +8%
Risk 0.11
Storm inflow
Risk 0.32
Recycle trim
Risk 0.14
Grounding: Models & Uncertainty v4.0.2

Spectrum

Signal intelligence in pilot programs with enterprise teams. Spectrum detects drift early, connects signals across systems, and surfaces risk in the language of process health.

System Intelligence: Spectrum
Signal Spectrum
Live drift map
Drift 3% Alerts 2
Normal Elevated Critical
Filter Train 4
Drift rising 2.6%
Grounding: Evidence → Risk v4.0.2
01 / The Problem
How ArthOS Works

Why ArthOS exists.

The hardest decisions live between systems.

SCADA, historians, LIMS, CMMS, and models each show a slice. Connecting them into a safe decision is still manual, slow, and inconsistent.

The states that matter are usually hidden.

Fouling, true loading, settling capacity, real efficiency—critical variables are rarely measured directly, yet they drive risk and cost.

AI without process context can’t be accountable.

Generic AI can summarize and guess. ArthOS links every output to process logic, constraints, and evidence—so teams can act with confidence.

Operating Loop Active
Linking signals to decisions…
02 / The Solution

Continuous Intelligence Loop.

Spectrum perceives reality, ArthSim predicts outcomes, ArthFlow governs intent, and ArthChat drives decisions. A closed loop for safe, repeatable operations—without replacing your existing systems.

Step 01 Decision Layer
ArthChat
turns evidence into decisions
Step 02 Structure Layer
ArthFlow
encodes intent & constraints
Step 03 Behavior Layer
ArthSim
forecasts outcomes safely
Step 04 State Layer
Spectrum
detects drift & risk early
Operating Engine
Loop engaged

The Operating Engine

ArthOS does not replace SCADA, historians, or engineering tools. It exists because none of them were designed to connect process logic, hidden states, and accountable decisions—continuously.

The Company
Our Principle

Complexity requires clarity.

Critical infrastructure can’t run on spreadsheets and tribal knowledge. ArthOS makes process intent, evidence, and decisions understandable—day to day.

Framework
Logic
Engineering First

Built in the field, not the lab.

ArthOS is designed around real operations—process constraints, messy data, and accountable actions. Software should adapt to plants, not the other way around.

Foundation
First Principles
The Future

Secure the water future.

By unifying structure, behavior, and state into one loop, teams can prevent upsets earlier, optimize safely, and build regulator-grade traceability.

Vision
2050
Use Cases

Decisions you can defend.

Prevent upsets earlier, optimize safely, investigate faster, and automate compliance narratives—grounded in process logic and operational history.

Design

Can we trust this design?

Simulate and validate before ground is broken. Carry intent and assumptions into operations—so the plant runs like it was designed.

Optimize

How do we reduce cost safely?

Tune dosing, energy, and timing within safe envelopes—quantifying trade-offs and confidence, not guessing with setpoints.

Investigate

Why did performance drift?

Link alarms, lab data, maintenance, and notes into one timeline—generate hypotheses with evidence and reduce recurrence with playbooks.

Plan

What happens if this fails?

Run scenarios for equipment loss, shock loads, and seasonal constraints—rehearse response before the event becomes an outage.

Prove

Can we defend compliance?

Automate narratives with evidence: what changed, why actions were taken, and what outcomes followed—ready for audits and regulator review.

0%
Traceable Assumptions
0%
Cost Intensity Cut
0x
Faster Investigations
0.0%
Readiness Envelope
0 Gap
Evidence Missing
Contact

Request a demo.

See how ArthOS connects your existing systems into an operating loop—context, scenarios, and decisions, with traceable evidence.