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EAOS · Governed agentic operations · Deployed at water utilities

The Intelligent Operating System for Critical Infrastructure

Eaos is an agentic engineering and operations company. We build and operate EAOS, the managed intelligence layer beneath water and wastewater operations: created from your systems and evolving every day. Your team works with Eddy, an engineer that investigates problems, finds answers, and delivers recommendations.

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⬢ EAOS · production deployed in the field intelligence: evolving no autonomous control
01 · The problem

Your plant’s intelligence is trapped.

SCADA, LIMS, the CMMS, logbooks, spreadsheets, and thirty years of know-how. None of it reasons together; people do that part, one incident at a time.

01 / 03

Data in silos

When something goes wrong, you’re the one who has to find the right data and piece it all together.

02 / 03

Knowledge walking out

The real troubleshooting knowledge lives in people’s heads. When they retire, it leaves with them.

03 / 03

Every problem starts fresh

“What did we do last time this happened?” If you can’t find the answer, you start from scratch.

02 · The system

An operating system, not an AI tool.

We are not shipping a chatbot. EAOS is deployed as managed infrastructure: connectors, a governed runtime, and operational intelligence loops that run on your live data. That architecture is what makes production use possible.

→What we are

An agentic engineering and operations company for critical infrastructure, built in the water industry.

→What we run

EAOS, the intelligent operating system, operated for you as a fully managed service.

→How it works

A governed virtualized operational environment where intelligence operates with policy controls and full traceability.

→Why it matters

Governed operationalization: faster, safer, auditable decisions and actions.

Pillar / Environment
“The model helps, but the environment determines deployable value.”

EAOS creates the operational boundary where models, tools, and workflows are configured for safety and reliability. That boundary is hard to replicate, and it improves with use.

Pillar / Autonomy
“Autonomy grows through evidence, not marketing claims.”

Teams start with decision support, expand to proactive workflows, then selective bounded automation where the evidence supports it. Each step requires policy fit, measurable quality, and traceable outcomes.

Pillar / Memory
“EAOS turns person-dependent know-how into reusable operating intelligence.”

As your team investigates and decides, knowledge is captured in the system and reused, so it no longer leaves with retirements or role changes.

03 · How it works

Investigations, not just answers.

A chatbot answers a question. Eddy runs a loop, and the loop is what compounds.

01Gather contextEddy pulls the relevant data, documents, and history for the situation at hand.
02AnalyzeRuns calculations and simulations, identifies patterns, checks against known issues.
03Present optionsShows you what it found, with the reasoning and evidence attached.
04Capture decisionRecords what your team chose to do, and why.
05Learn from outcomesTracks what actually happened, so the next investigation starts smarter.

Every investigation adds to your facility’s operations intelligence layer. It is created from your data and decisions, and it keeps evolving. When a similar situation comes up again, even years later, that intelligence is already there.

05 · The intelligence layer

Your people’s judgment + a system that makes it durable.

The real work isn’t answering one question. It’s turning everything your facility knows into a system that compounds, shaped entirely around how your plant runs.

01 / 03

Built from everything

Every interaction, every document, every data point, every decision. Eddy doesn’t just answer questions; it turns the daily work of your facility into structured, queryable operating knowledge.

02 / 03

Configured around your facility

Your team and engineers shape how it works: your data, your workflows, your process logic. We host and operate the entire stack as a managed service, so there is nothing for you to stand up or maintain. Model-agnostic by design.

03 / 03

Improves against your outcomes

It compounds with use, and it improves against the outcomes that matter to you: your permits, your effluent targets, your chemical costs. Not generic benchmarks. The longer it runs, the more it knows about your plant specifically.

You can hand off the work. Never the learning. Fully configurable, model-agnostic, and sharper with every use.

06 · Governance

Built for critical infrastructure. Governed like it.

Eddy delivers intelligence and recommendations. It never touches a setpoint. Every conclusion is traceable to the evidence behind it, and every change to the system is versioned and reversible.

CANDIDATE PENDING RELEASED ROLLED BACK every change tracked, versioned, reversible
Always-on awareness

Continuous monitoring of your process. Proactive detection of drift and developing issues. Instant access to context when you ask.

Not waiting for alerts. Already aware.

Reality verification

Findings are reconciled against three independent sources before Eddy calls anything confirmed.

  • Operator confirmationsource 1/3
  • Logbook parsingsource 2/3
  • Change detectionsource 3/3
No autonomous control

EAOS never changes a setpoint, starts equipment, or adjusts dosing on its own. It investigates, finds answers, delivers recommendations, and tracks what happens next.

Your team stays in control. That is not a setting; it is the design.

✓ trace available

Full transparency. No black boxes. Every investigation shows exactly what information was gathered, what analyses were performed, and how conclusions were reached. Reasoning traces are always visible. Audit anything, anytime.

07 · The ecosystem

Hardware to simulation, one substrate.

T03, Tidewater Trident Technologies INTELLIGENT HARDWARE

T03 · Tidewater Trident Technologies

Next-generation modular water analyzers. AI-ready, hot-swappable, and open by design. Technology incubated with HRSD in Hampton Roads, Virginia. When connected to EAOS, the hardware gains embedded intelligence for process-wide reasoning.

tidewatertrident.com ↗
Tardigrade NSF SBIR · SUPPORTED R&D

Tardigrade · simulation subsystem

Integrated data and simulation orchestration within EAOS. Coordinates mechanistic models, neural networks, surrogates, and external tools through a unified pipeline engine with full data lineage and input snapshots.

NSF SBIR research support ↓
08 · Customers

Trusted by leading utilities.

DC WaterWashington, DC
Hampton Roads Sanitation DistrictVirginia Beach, VA
Metro Water RecoveryDenver, CO
Clean Water ServicesHillsboro, OR
Prince William WaterWoodbridge, VA
WSSC WaterLaurel, MD
Metropolitan CouncilSt. Paul, MN
WatercareAuckland, NZ

“What sets Eaos apart is their understanding that operators need tools that think with them, not just dashboards that show data. This is intelligence that learns from our facility specifically.”

CEO / General Manager · wastewater utility

“EAOS lets us build intelligence incrementally, proving value at each step. We’re not betting on a massive transformation project. We’re building operational knowledge systematically.”

COO · water recovery facility
CASE STUDIES · IN PROGRESS Detailed results from our first deployments at DC Water, HRSD, and Metro Water Recovery.
09 · In the plant

Built for water and wastewater operations.

Purpose-built for the processes your team runs every day, not generic tools adapted for water.

Secondary treatment

DEPLOYING NOW
  • Nutrient removal
  • AvN control
  • SRT & MLSS
  • Seasonal operation

Chemical systems

DEPLOYING NOW
  • Inventory tracking
  • Dosing control
  • Usage forecasting
  • Cost management

Side stream treatment

DEPLOYING NOW
  • Filtrate stability
  • Anammox operation
  • Deammonification
  • Load balancing

Solids handling

DEPLOYING NOW
  • Thickening & dewatering
  • Polymer dosing
  • Biosolids handling
  • Process efficiency
U.S. National Science Foundation

NSF SBIR-supported R&D

Supported by the U.S. National Science Foundation Small Business Innovation Research program. NSF SBIR Phase II funding advances Tardigrade, the data and simulation orchestration subsystem inside EAOS, connecting mechanistic models, machine learning, and live plant data under full lineage.

Any opinions, findings, conclusions, or recommendations expressed are those of Eaos and do not necessarily reflect the views of the U.S. National Science Foundation.

Additional research support
The Water Research Foundation U.S. Department of Energy
10 · Company

Eaos (ay‑oss)

We’re environmental engineers, software engineers, and AI engineers. Raised in the water industry, now building what comes next. We’ve spent years in treatment plants, on process teams, and in control rooms. We know the complexity firsthand.

The industry doesn’t need another dashboard or data warehouse. It needs integrated intelligence: systems that understand operations in real time, investigate autonomously, and collaborate with your team, sharing context, refining solutions, and getting smarter with every decision.

Eaos brings state-of-the-art AI to the systems that matter most. Not generic tools adapted for water. Purpose-built agentic systems that investigate, diagnose, and optimize. Humans always in control.

Based in Hampton Roads, Virginia.
Wherever operations never sleep, Eaos is there.

See your organization’s intelligence layer take shape.

AI INVESTIGATES · RECOMMENDATIONS DELIVERED · YOUR TEAM ACTS

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Or reach us directly at info@eaos.ai