Solve Your Hardest Remote Automation Problem

Some of the best automation opportunities don’t come with an off-the-shelf solution.

Maybe an operator still drives two hours to inspect a remote asset. Maybe the equipment can be monitored but not controlled. Maybe thousands of data points are collected every day, but nobody knows something is wrong until an alarm, or a failure, forces the issue. Maybe the site has limited power or spotty connectivity. Or maybe the application is simply unusual enough that nobody has built a commercial product for it.

Those are exactly the problems WellAware wants to solve.

Remote industrial automation takes more than another sensor or another dashboard. It takes a system that can capture what is happening at the asset, get that information out of a difficult environment, turn it into a decision, and, where it is safe and appropriate, act on that decision without a truck roll.

Why remote assets break conventional automation

Conventional automation architectures were designed for environments with reliable power, wired networks, and people nearby. Remote and distributed assets offer none of that.

The asset may be one of hundreds or thousands of similar sites spread across a region. Running power or cable may cost more than the equipment it serves. Communications may be intermittent. Existing equipment may speak a legacy protocol, or none at all. And the information needed to make a decision often lives across several sensors and systems that were never designed to work together.

The result is a familiar gap: the automation opportunity is obvious, but the economics of conventional infrastructure don’t reach the asset.

Closing that gap requires working across every layer at once, from the physical asset to the operational decision:

1. Physical asset
2. Sensors & field equipment
3. Intelligent edge
4. Connectivity
5. Cloud & data
6. AI & analytics
7. Decision
8. Remote or automated action

Solving one layer in isolation rarely works. A great sensor without reliable connectivity is a data logger. Great connectivity without intelligence is a firehose of telemetry. Great analytics without control still ends with someone driving to site. WellAware’s platform was built to connect all of it.

The framework: Sense, Connect, Understand, Act, Automate

Every hard remote automation problem we approach moves through the same five stages. Not every application needs all five, but understanding where your problem sits in the chain is the fastest way to define what a solution actually requires.

SenseConnectUnderstandActAutomate

1. Sense: Capture what matters

Every automation problem begins in the physical world. Depending on the application, the variables that matter may include pressure, temperature, flow, level, equipment state, runtime, power, chemical consumption, environmental conditions, or something entirely application-specific.

The challenge is rarely whether a sensor exists. It is integrating that measurement into an architecture that stays reliable and economical across many sites. WellAware’s Intelligent Edge is designed for full-system sensing, capturing level, pressure, flow, power, valve state, and equipment behavior together so you see a complete picture of the asset, not a single reading. Edge devices connect to existing field instruments through 4–20 mA analog inputs and discrete digital I/O, and because the hardware is software-defined, new measurements can be added without swapping devices.

2. Connect: Get the data out of difficult environments

Remote assets create different challenges than a plant floor. Limited infrastructure, power constraints, intermittent communications, legacy equipment, multiple protocols, and expensive wiring all shape what is possible.

The connectivity architecture has to match the operating environment, not force the environment to fit the technology. That is why WellAware supports a range of options:

• Field and physical: multi-carrier LTE, RF and LoRa for sites where cellular coverage is unavailable, and Bluetooth for local connections.
• On-site and industrial: Modbus TCP/RTU for reading registers from PLCs and RTUs, plus read/write integration with SCADA systems such as Ignition, Wonderware, and OSIsoft PI.
• Cloud and API: REST API, MQTT, and SFTP for moving data into the platforms and applications your team already uses.
• Power: Scout runs on battery (5+ year life) or wired power, and Commander is compatible with solar or AC mains.

Where wiring is the obstacle, WellAware’s Wireless Process Meter integrates production variables across a skid without trenching cable or running power to the site. See the full list on our integrations page.

3. Understand: Turn telemetry into intelligence

Collecting data is not the goal. Operators don’t need another system producing thousands of readings and nuisance alarms. They need answers: What changed? Is it normal? What needs attention? What is likely to happen next? What should we do about it?

That is the move from data to information to decision.

Intelligence starts at the edge. WellAware devices handle sampling, compression, and anomaly detection on-device, so the field keeps working and alerting even when connectivity drops. In the cloud, WellAware AI, trained on a decade of field data, adds historical context and pattern recognition to identify anomalies, diagnose issues across power, tank, pump, and valve subsystems, and deliver recommendations that map directly to the problem, such as “check pressure on line” or “pump motor failing; maintenance required,” instead of generic alarms with no next step.

The objective is not more data. It is better decisions, made sooner. (For a deeper look, read From Raw Signals to Real ROI.)

4. Act: Close the distance between insight and response

This is where most remote monitoring systems stop. They display information and leave the response to someone in a truck.

Remote visibility tells you there is a problem. Remote control gives you the ability to do something about it.

Bidirectional control is the difference. Commander does everything Scout does, plus closed-loop control of connected devices, including pumps, valves, and motors. Operators can remotely adjust setpoints, rates, positions, and calibration settings from the dashboard. Commander supports VSD or timed pump interfaces and valve control, and because WellAware integrates read/write with SCADA, assets can also be monitored and controlled from your existing SCADA environment.

Remote control must be engineered with care. Defining which actions are appropriate to take remotely, under what conditions, and with what safeguards is a core part of scoping any application.

5. Automate: Move toward closed-loop operations

The final stage reduces the need for human intervention in routine operational decisions. Most applications progress along a path like this:

1. Remote sensing
2. Remote monitoring
3. Intelligent alerts
4. AI-assisted recommendations
5. Remote control
6. Closed-loop automation

Not every application needs to reach the end of that path. Sometimes the right outcome is better monitoring, or simply giving an operator remote control. But where the process and risk profile allow it, sensing plus intelligence plus control enables systems that respond to changing conditions on their own.

Commander already does this in the field: it auto-calibrates to maintain target rates, compensates for power fluctuations from aging batteries or solar intermittency, and adjusts output based on real-time flow, temperature, and process conditions. Software-defined hardware can even extend equipment beyond its factory specification. For example, algorithmically derating an oversized pump so it meters accurately well below its rated minimum.

Why the edge matters

Remote industrial operations can’t assume perfect cloud connectivity. An intelligent edge architecture keeps critical processing, communications, and control close to the physical asset.

In practical terms, that means faster local response, resilience when the network is unavailable, protocol translation between field equipment and modern systems, and a reliable foundation for bidirectional control. It also means the edge keeps getting better: WellAware pushes firmware, models, and configuration over the air, so new logic and capabilities reach every device in the field without a site visit.

But what happens when the solution you need doesn’t exist yet?

Many organizations recognize an automation opportunity and still hesitate. Building a custom solution internally can require hardware engineering, embedded software, communications expertise, cloud infrastructure, application development, data engineering, AI and analytics, controls engineering, cybersecurity, field testing, deployment infrastructure, and ongoing support.

That is a lot of technology stack to build for a single problem.

Instead, you can partner with WellAware to determine whether our existing platform can be applied to your application. Because WellAware is software-defined from the edge up, it is not limited to a fixed catalog of assets or a fixed set of industries. New sensors, protocols, and control logic are added in software.

Pilot Partners is how we apply that capability deliberately. It is not open-ended R&D or custom development. It is a structured path to prove a commercially scalable solution:

1. Bring us the problem. Start with the operational challenge, not a predetermined technology. Tell us the market, asset, or process you need visibility and control over, and what makes it hard today.
2. We assess the fit. Our team evaluates whether the platform can sense, connect, and act on your asset, and where the value would come from.
3. We scope a pilot. If it fits, we define a focused pilot with clear success criteria, a timeline, and the hardware and software involved.
4. Prove it, then scale. Run the pilot against the success criteria in the real operating environment. When it works, we scale it into a repeatable deployment across your operation.

Pilots run on the full platform (software-defined edge hardware, connectivity, AI, and dashboards working together) with hands-on support from our Client Success team and on-site crew.

What makes a good Pilot Partner?

You may be a strong candidate if your organization:

• Operates remote or distributed physical assets.
• Sends employees or contractors to routinely inspect or adjust equipment.
• Can’t easily access important asset data remotely.
• Has monitoring that produces data but little actionable intelligence.
• Needs bidirectional communication or remote control for an application.
• Has existing SCADA or automation infrastructure that doesn’t economically reach certain assets.
• Wants to add intelligence without replacing existing infrastructure.
• Faces power, communications, or wiring constraints that make conventional automation impractical.
• Needs to integrate multiple sensors, protocols, or systems.
• Has a repetitive manual operational decision that could be automated.
• Has identified an opportunity for which no suitable off-the-shelf product exists.
• Could deploy across tens, hundreds, or thousands of similar assets if a handful prove out.

The best pilots solve repeatable operational problems. A successful pilot shouldn’t merely prove that something is technically possible. It should establish the foundation for scalable operational and economic value.

Questions we want to hear

• “Why are we still sending someone out there just to get this reading?”
• “Why can’t we control this equipment remotely?”
• “We have the data. Why can’t the system tell us what’s actually wrong?”
• “Why can’t this process automatically adjust when conditions change?”
• “Why does adding automation to this asset cost so much?”
• “Why can’t we connect this older equipment to our modern systems?”
• “Why can’t we automate this without replacing everything we already have?”
• “There has to be a better way to do this, but nobody sells it.”

If your operations team is asking questions like these, WellAware wants to hear the problem.

Not limited to one industry

WellAware’s roots are in demanding remote environments, and today the platform supports end markets including chemical injection, water and wastewater, utility monitoring, air compressors, and broader industrial operations.

But the underlying problem is not industry-specific. Potential applications exist anywhere organizations manage remote equipment and distributed infrastructure: tanks and storage, pumps, compressors, valves, treatment systems, utility and energy infrastructure, environmental equipment, and industrial processes that need remote monitoring or control. If the asset is physical, distributed, and hard to reach, it is worth a conversation.

The business case

The architecture matters because of what it makes possible. Depending on the application, successful remote industrial automation can help organizations:

• Reduce unnecessary truck rolls and increase technician capacity.
• Detect problems earlier and reduce downtime.
• Improve response times, process consistency, and asset utilization.
• Reduce manual data collection and operating costs.
• Improve safety by reducing unnecessary field exposure.
• Optimize consumption of chemicals, energy, fuel, water, and other resources.
• Extend automation economically to assets that could never justify traditional infrastructure.

The value depends on the specific application. That is exactly what the pilot is designed to prove, with success criteria defined up front, measured in your operating environment.