The full ArkIO product family.

Every product shares one data model, one security posture and one deployment story. Run the full stack, or adopt a single piece and grow into the rest — nothing has to be re-architected later.

Edge & Control Engine

Aletix

An OPA-compliant, protocol-agnostic SCADA core that acquires and controls the plant — and ships with an AI brain from day one, not bolted on later. The acquisition layer and the reasoning layer are the same product, which is why context never has to be rebuilt downstream.

Universal protocol support

Modbus, OPC UA, MQTT and DNP3, with no per-vendor driver purchase.

Edge historian

Flat binary logging plus InfluxDB and TimescaleDB, buffered through network loss and reconciled on recovery.

Air-gapped AI agent

Inference runs at the machine with IEC 62443-aligned hardening and no cloud dependency.

Smart alarms

NLP-explained causality with escalation policies, instead of a control room absorbing an alarm flood.

How it goes in
01

Point it at the plant

Tags are discovered across Modbus, OPC UA, MQTT and DNP3 without buying a driver per vendor.

02

Normalize and log

Every tag becomes a value-device-metadata-type-timestamp envelope, written to the edge historian as it arrives.

03

Turn on the agent

The air-gapped agent begins reasoning locally, producing explained alarms rather than threshold notifications.

What changes
Driver cost
Protocol support is included, not licensed per vendor.

Connectivity stops being a line item that grows with every new asset.

Alarm load
Floods collapse into an explained cause.

The control room receives one causal narrative instead of forty simultaneous alarms.

Survivability
A dropped link neither loses data nor stops control.

Local buffering and local inference keep the site useful in isolation.

Questions it answers
Miralys · natural language
Which tags stopped reporting in the last hour?
Explain the cause of the alarm cascade on unit 3.
Did we lose any data during last night’s link outage?
Intelligence & Experience Layer

Miralys

The control room reimagined — real-time dashboards, animated SCADA, reporting, and a natural-language interface that answers in plain English with visible reasoning. What an operator sees and what the platform concluded are the same thing, traceable back to source.

Live dashboards

Line, KPI, gauge, heatmap and animated SCADA panels, built without code.

Deduplicated subscriptions

Fifty viewers on one tag resolve to a single query over WebSocket.

Templated reporting

Excel and PDF reports on a schedule, in append mode, bound to live plant tags by pointing rather than by formula.

Multi-tenant governance

Per-plant tenancy, RBAC, feature flags and scoped external sharing.

How it goes in
01

Bind the data

Dashboards subscribe to the unified namespace directly, so there is no separate integration layer to maintain.

02

Compose the room

Line charts, KPI walls, gauges, heatmaps and animated SCADA panels are assembled per role and per plant.

03

Ask in plain language

The natural-language interface answers from live data, showing the reasoning and the source behind each answer.

What changes
Scale
Fifty viewers run on one query, not fifty.

Deduplicated WebSocket subscriptions keep load flat as the audience grows.

Reporting
Shift and compliance reports go out on schedule.

Templated Excel and PDF output runs unattended, in append mode where the record must accumulate.

Access
Multi-tenant plants with RBAC and secure sharing.

A contractor sees one asset; a group head sees the fleet.

Questions it answers
Miralys · natural language
Compare this shift to the same shift last week.
Send the daily production report to the plant head at 6am.
Who acknowledged the trip on line 2, and when?
OT Security

Cybersecurity

Every industrial AI project runs into the same objection: opening the plant to reach the data. ArkIO answers it by keeping the data where it already is — the intelligence moves to the plant, not the other way around.

IEC 62443-aligned

Zone and conduit segmentation, hardened runtimes and secure-by-default configuration mapped to the standard your auditors already use.

Air-gapped capable

The AI agent runs with no outbound path. Models train and infer on-premise, so an isolated network stays isolated.

Role-based access

Per-plant tenancy with RBAC, feature flags and scoped sharing, so an operator, an engineer and a contractor never see the same surface.

Vulnerability posture

Continuous CVE tracking across the OT estate, with exposure ranked by what it actually reaches rather than raw severity.

Auditable by design

Every read, write and model decision is logged with its source and reasoning, giving you the trail a regulator or incident review asks for.

Certificate management

Issuance, rotation and revocation handled for every agent and endpoint, so mutual TLS stays valid without manual upkeep.

Cyber security & GRC

Leverage ArkIO’s latest technology solutions and GRC audit capabilities to keep your company assets and resources safe. ArkIO takes pride in being at the forefront of cyber security, offering a comprehensive suite of services that include both Information Technology (IT) and Operational Technology (OT) security audits, as well as Vulnerability Assessment and Penetration Testing (VAPT). Our commitment is to empower your organization with robust defenses against the ever-evolving threat landscape.

Services
01

IT Security Audit

Our IT security audits are designed to meticulously examine your digital infrastructure. We leave no stone unturned, assessing networks, applications, and endpoints to identify vulnerabilities that could compromise your security. Our detailed reports not only highlight areas of concern but also provide actionable recommendations to fortify your IT defenses.

02

OT Security Audit

Being an OEM we do extensive research and development in PLCs, DCS, SCADA etc. As such, we are in an excellent position to identify the vulnerabilities in OT networks. Our OT security audits delve into the intricacies of Operational Technology, evaluating SCADA and Industrial Control Systems (ICS). We analyze the security controls in place, identify potential risks, and ensure your OT environment meets the highest standards of security and compliance. One small leak can have disastrous effects of not just plant downtime but also safety hazards.

03

VAPT Services

Vulnerability Assessment and Penetration Testing are crucial components of a robust security strategy. Our experts simulate real-world cyber attacks to identify vulnerabilities in your systems and applications. Through a combination of automated scanning and manual testing, we provide you with a comprehensive understanding of your security posture, empowering you to proactively address weaknesses.

04

Compliance Assurance

Navigating the complex landscape of regulatory compliance can be challenging. Our audits not only identify vulnerabilities but also ensure that your security measures align with industry standards and regulatory requirements.

05

Continuous Monitoring and Support

Cyber threats are ever-evolving. Our commitment doesn’t end with the audit report. We offer continuous monitoring services and ongoing support to help you stay ahead of emerging threats and maintain a resilient security posture.

Why ArkIO?

Holistic Approach

We believe in a holistic approach to cyber security. Our combined IT and OT security audits, along with VAPT services, offer a 360-degree view of your organization’s security landscape. This integrated strategy ensures that your defenses are resilient across all digital fronts.

Expert Team

Our team of cyber security professionals is not just highly skilled; they are passionate about staying ahead of the curve. With diverse expertise and continuous training, they bring a wealth of knowledge to every engagement.

State-of-the-Art Technology

We leverage cutting-edge tools and methodologies to provide you with the most accurate and up-to-date assessments. Our commitment to innovation means that you receive insights into emerging threats and vulnerabilities.

Transparent Reporting

We believe in clear and transparent communication. Our reports are detailed, yet accessible, providing you with a clear understanding of the risks and recommended actions. We work with you to implement effective solutions.

How it goes in
01

Map the zones

Assets are inventoried and grouped into zones and conduits, giving an accurate picture of what actually talks to what.

02

Harden and segment

IEC 62443-aligned configuration, certificate management and role separation are applied to every flow.

03

Watch the posture

CVE exposure, remote sessions and configuration changes are monitored continuously against the baseline.

What changes
Exposure
The plant does not open outward to reach its data.

Agents run inside the perimeter, air-gapped where the site requires it.

Standards
Zones, conduits and roles follow IEC 62443.

Audit conversations start from a documented architecture rather than a diagram drawn afterwards.

Evidence
Every access and change is attributable.

Who connected, what changed and when are answerable without reconstruction.

Questions it answers
Miralys · natural language
Which assets have unpatched CVEs above severity 7?
Show every remote session into the DMZ last month.
What changed on the PLC configuration since Friday?
Foundation

Data Lake

Unified, governed and queryable storage for time-series, events, alarms and documents. Structure the data once and every layer above it inherits that context, which is why adding a module later never becomes another integration project.

One normalized envelope

Every tag carries value, device, metadata, type and timestamp, so a downstream consumer never has to guess what it received.

Modeled into twins

Tags resolve into asset models rather than remaining a flat namespace, which is what makes cross-site comparison possible.

Governed and standardized

Naming, structure and definitions held consistent across systems and sites, with an audit trail behind every change.

Documents alongside signals

Lab reports, SOPs and datasheets stored next to the time-series they describe, so retrieval can read both together.

How it goes in
01

Ingest at rate

Time-series, events, alarms and documents are written at full plant rate without downsampling on the way in.

02

Structure it

Naming and hierarchy follow one standard, so an asset means the same thing at every site.

03

Serve it

Query, API and replay access make history usable by dashboards, models and engineers alike.

What changes
One source
Four data types live in one place.

Time-series, events, alarms and documents stop being four separate systems with four answers.

Governance
Naming and definitions are standard across sites.

Fleet comparison becomes possible because the tags mean the same thing.

Retrieval
Any window of history returns in seconds.

Investigation does not wait on an export request.

Questions it answers
Miralys · natural language
Replay the plant state for the ten minutes before the trip.
Which tags are missing a unit or an asset link?
Export every alarm on this asset class for the audit.
Time-series Events Alarms Documents
Intelligence

ArkIO Cortex

The advanced ML platform — physics-informed models, forecasting and optimization across the fleet, trained on your data inside your walls. Every result carries a confidence score and a chain of reasoning, because in a control room an unexplained number is not actionable.

No-code ML Sandbox

An eight-step wizard from data selection to a deployable model, so a process engineer can train without writing code.

Golden Batch Advisor

Prescriptive quality correction that ranks likely causes of a drift and states the change that rejoins the ideal run.

Physics-informed models

Engineering constraints carried into the model, so predictions stay inside what the process can physically do.

Forecasting & optimization

Load, yield and consumption forecast across the fleet, with setpoint recommendations evaluated against the objective you set.

How it goes in
01

Frame the objective

Yield, energy, quality or throughput is stated as a target with its real constraints, not as an abstract accuracy score.

02

Train with physics

Process knowledge constrains the model, so it cannot propose a state the plant could not physically reach.

03

Close the loop

Output arrives as advice or a setpoint, carrying a confidence score and a traceable chain of reasoning.

What changes
Forecasts
Horizon predictions on yield, energy and quality.

Decisions are made before the outcome is locked in rather than explained afterwards.

Optimization
Setpoints are proposed inside real constraints.

Recommendations respect equipment limits and product specification.

Fleet
A model proven on one line deploys to the rest.

Value earned at one site transfers without a second project.

Questions it answers
Miralys · natural language
Forecast tomorrow’s yield at the current feed quality.
What setpoints minimise energy without losing throughput?
Which sites would benefit from the model trained at Pune?
Intelligence

ArkIO Synapse

A retrieval-grounded knowledge base that answers from your plant’s real context rather than generic data — lab reports, SOPs and datasheets read against the live reading, with every answer citing the document and passage it came from.

Document Intelligence

Plain-English questions answered from your own engineering library, grounded in the current batch reading.

Cross-plant benchmarking

One benchmark across sites that finds the pattern behind a winning lot and rolls it out to every lagging plant.

Cited answers

Each response names its source document and passage, so an engineer can verify rather than trust.

Institutional memory

Shift knowledge and past incident findings retained as retrievable context instead of leaving with the person who held them.

How it goes in
01

Ingest the corpus

P&IDs, SOPs, vendor manuals, incident reports and shift logs are indexed as the plant’s own knowledge base.

02

Ground it in the plant

Documents are linked to assets and tags, so a question about a vessel reaches the paperwork for that vessel.

03

Answer with citations

Every response names the document and the section it came from, so it can be checked before it is acted on.

What changes
Answers
Responses cite the document and the page.

An engineer verifies the source rather than trusting a summary.

Onboarding
A new engineer reaches the right procedure faster.

Knowledge held by long-serving staff becomes queryable.

Context
Generic advice is replaced by plant-specific advice.

The answer reflects this installation, not an industry average.

Questions it answers
Miralys · natural language
What is the startup procedure for the reboiler after a trip?
Has this failure happened before, and what fixed it?
Which SOP covers a high-high level on T-402?
Intelligence

ArkIO Watchtower

Real-time anomaly detection and failure-precursor signals, each carrying an explainable cause rather than a bare threshold breach. The goal is fewer alarms that mean more, not more alarms that mean less.

Smart alarm rules

A rule with an escalation policy built in seconds, and an alarm that explains its own cause when it fires.

Precursor detection

The pattern that precedes a failure surfaced ahead of the failure window, with the lead time stated.

Alarm rationalization

Correlated alarms collapsed into the single upset behind them, so the control room sees one event.

Context-aware baselines

Startup, shutdown and grade-change behaviour treated as expected, which is what keeps false positives down.

How it goes in
01

Learn normal

Each asset’s own operating envelope is learned across load, ambient and product conditions.

02

Detect the precursor

Deviation is caught in the pattern between signals, before any single reading crosses a limit.

03

Explain and escalate

The detection names the signal that moved first and routes to the person who can act on it.

What changes
Lead time
Failure precursors arrive with room to act.

Warning comes early enough to plan an intervention rather than absorb a stop.

Noise
Detections come with the signal that moved first.

An alert that cannot be explained does not get raised.

Coverage
Every asset is watched, not just the instrumented few.

Assets that never justified a dedicated monitoring system are included.

Questions it answers
Miralys · natural language
What is behaving abnormally right now?
Which reading moved first before the pump failed?
Show assets whose baseline has shifted this month.
Operations

ArkIO Blueprints

Reusable templates that deploy assets, twins, analytics and reports at scale. Commission one site properly, then replicate that architecture everywhere instead of rebuilding it per plant.

Custom Reports

Build a live report by pointing at a cell and binding it to a plant tag — reference moment, lookback and format, with no formulas or scripting.

Template-push deployment

Pipelines, twins and models pushed to many plants from a single control plane, with drift from the template visible.

Standardized structure

Naming and hierarchy held identical across sites, which is the prerequisite for comparing them at all.

Faster commissioning

A new line inherits the analytics, alarms and reports of its class on day one rather than after a project.

How it goes in
01

Build it once

An asset, its twin, its dashboard and its analytics are configured properly at the first site.

02

Template it

That whole configuration is captured as one reusable unit, not as a set of files to copy by hand.

03

Push it out

Deployment to further sites is a push, with version state visible across the fleet.

What changes
Rollout
The second site takes a fraction of the first.

Scaling stops being a repeat of the original engineering effort.

Consistency
The same asset means the same thing everywhere.

Fleet reporting works because the definitions are identical.

Change
A fix to the template reaches every deployment.

Improvements propagate instead of living at one site.

Questions it answers
Miralys · natural language
Deploy the compressor blueprint to site 3.
Which sites are running an outdated template version?
What differs between site 1 and site 2’s configuration?
Operations

ArkIO Ops

Maintenance and lifecycle management for every connected asset, driven by the same signals the intelligence modules already read — so a work order is raised on evidence rather than on a calendar interval.

Condition-based maintenance

Scheduling driven by measured condition and predicted remaining life instead of a fixed interval.

Work-order tracking

The order carries the signal that raised it, so the technician arrives knowing what was seen.

Asset lifecycle

Install, service and replacement history held against the asset model rather than in a separate register.

Central monitoring

Pipelines, twins and models across plants watched from one place, with failures attributable to a site.

How it goes in
01

Bring in the work

Asset registers, work orders and maintenance history are joined to the live signals from the same equipment.

02

Trigger on condition

Work is raised by measured condition and predicted failure rather than by elapsed calendar time.

03

Close the loop

Completed interventions return to the asset record and inform the next prediction.

What changes
Maintenance
Work orders are raised by condition, not calendar.

Effort goes to the equipment that needs it, in the order it needs it.

Spares
Demand is forecast from predicted failures.

Inventory is held against likelihood rather than habit.

Record
Every intervention lands back on the asset history.

The next diagnosis starts from what was actually done before.

Questions it answers
Miralys · natural language
Which work orders should move up based on condition?
What spares will we need in the next 60 days?
What was done the last three times this pump failed?
Cell Voltage & Temperature Monitoring

CVMS — powered by IRIS

ArkIO has revolutionized electrolytic process monitoring and optimization through its Cell Voltage and Temperature Monitoring Systems. The IRIS technology provides real-time data monitoring from the cells, completely eliminating the need for manual measurement of shorts and faults in production.

The wireless CVMS technology is completely plug-and-play. It fits on cell walls and immediately starts transmitting cell parameters to the control room. No cabling, no hassles.

Short-circuit detection

Provides key performance indicators for EW/ER by detecting and predicting short circuits and monitoring the overall health of a cell.

Yield and maintenance

Helps increase production yield, adds instantaneous fault detection capability, and reduces maintenance requirements.

Wired or wireless

Two options in IRIS — conventional wired, or fully plug-and-play wireless that mounts directly on cell walls.

Built for harsh environments

The IRIS-2 unit communicates with the dashboard and has immunity against heavy electromagnetic interference, operating in harsh chemical environments.

Standalone or integrated

Information is fed to a central operator interface which can be integrated into an existing system or operate as a standalone.

Platform integration

Seamless integration with ArkIO’s cloud platform, mobile and web dashboards. Advanced analytics modules offer predictive and early fault detection.

How it goes in
01

Fit the sensors

Wireless IRIS units clamp to the cell walls and begin transmitting immediately. No cabling and no tank-house rewiring.

02

Stream the cell house

Voltage and temperature arrive per cell, continuously, replacing the manual walk with a handheld instrument.

03

Act on the outlier

Shorts and faults are detected and predicted per cell, and the resulting efficiency loss is quantified.

What changes
Manual measurement
The walking survey is eliminated.

Cell condition is known continuously instead of at the interval a person can physically cover.

Current efficiency
Shorts are found while they are still costing power.

A shorted cell is identified individually rather than inferred from house-level performance.

Cell life
Thermal outliers surface before they damage the cell.

Temperature is monitored alongside voltage, so heat-driven failure is caught early.

Questions it answers
Miralys · natural language
Which cells are shorted right now?
What is the current efficiency loss in the tank house this shift?
Which cells run hottest against the house average?
Advantages

Immediate detection of process upsets

Easy plug-and-play installation within minutes

Predictive fault detection to prevent downtime and failures

Advanced alarms management suite with insights and analytics

Integration with cloud, existing PLCs, DCS, web and mobile dashboards

Manual intervention is replaced by CVMS units

Industries served
Copper Refineries Zinc Refineries Chlor Alkali Electrolysis Hydrogen Electrolysis Ni Electrolysis Electrolysers & Hydrolysers

Secure your future today

Connect with us to digitize every electrical aspect of your cells. Use the power of data to reduce manual interventions, predict breakdowns, and improve the throughput.

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