Your AI can think.Kelvin helps it act.

Industrial companies have spent billions collecting data, building dashboards, deploying models, and automating machines. But most intelligence still stops at a recommendation.

Kelvin is the System of Action for the physical world.

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The Kelvin platform connects intelligence to machines and processes. It turns what should happen next into a governed action, executes it safely through existing control systems, and measures the result.

Event → Insight → Action → Impact

The result is a path from automation to autonomous operations, where every action is governed, every outcome is measured, and the system gets better with every decision.

Event → Insight → Action → Impact

Kelvin closes the gap between operational intelligence and execution. Decisions start with an event, lead to a governed action, and end with a measured result.

Event

Something changes in the operation. This creates an opportunity to optimize or a need to intervene. Kelvin detects the event and establishes its context: the asset, operating conditions, timing, and quality of the underlying data.

Insight

Kelvin determines what should happen next. It combines live telemetry, historical behavior, engineering logic, your models, and operator expertise to identify the next best action.

Action

Kelvin turns the decision into execution. Within defined guardrails, it can change a machine set point, trigger a workflow, create a work order, or route an action for approval. It can do that with a human in the loop or autonomously.

Impact

Kelvin measures what happened after the action. It compares the result against the defined baseline, quantifies the operational and financial impact, and feeds the outcome back into the next decision.

Every action is measured and feeds the next decision.

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Everything explains. Nothing acts.

Industrial companies have spent decades building systems to understand their operations.

Sensors capture what is happening. Historians and systems of record preserve what happened. Dashboards and analytics explain why it happened. AI models predict what could happen next. Copilots make that intelligence easier to access. Control systems keep individual machines operating within defined limits. But intelligence still stops short of action.

Machines generate operational data faster than people can interpret it.

Decisions still move through operators, engineers, meetings, spreadsheets, and manual workflows.

Even when a system identifies the right answer, someone still has to determine whether to act. Then they have to translate the decision into a control change, execute it safely, and determine whether it worked. This is the action gap.

Existing systems were not designed to coordinate what should happen next across machines, processes, and entire operations.

They do not connect intelligence to governed execution, apply the right action through existing control systems, and measure the operational and financial result. Kelvin closes that gap.

How Kelvin works

The Kelvin platform works with the infrastructure, data, models, and control systems you already have. Its architecture separates AI reasoning from deterministic execution, so intelligence can evolve without compromising how actions are governed, executed, and measured.

Kelvin Connectors

Connectors connect.

Connectors give Kelvin a live, two-way connection to the operation. They turn data sources and protocol addresses into assets and data streams with context, correct units, timestamps, and read/write permissions.

Data comes in, governed actions go out, and acknowledgments confirm what actually happened. Kelvin connects to the infrastructure you already run, including PLCs, RTUs, DCS, SCADA, historians, BMS, databases, and cloud platforms.

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Kelvin Engines

Engines execute.

Engines provide the deterministic operating layer. They handle data quality, rules, calculations, workflows, optimization, orchestration, and control.

Data Quality determines whether information is fit to drive a decision. Guardrails determine whether an action is permitted before it reaches the control system. Engines make execution repeatable, governed, and auditable.

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Kelvin Agents

Agents evaluate.

Agents provide the decision layer. They understand operational context and evaluate what is happening and what should happen next. Agents can investigate events, analyze operating data, apply engineering knowledge, use models and tools, and recommend or, where authorized, initiate actions.

Agents never bypass the operating layer.

They can be specialized around a machine, process, workflow, or operating objective.

Their actions pass through the same deterministic engines, policies, guardrails, approvals, and control paths as every other Kelvin action. Engineers decide where an agent can advise, where a human must approve, and where it can act autonomously.

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Kelvin Applications

Applications operate.

Applications turn these capabilities into operating workflows. Engineers and operators can use packaged applications or build their own Tasks directly in Kelvin.

That covers monitoring and optimization through to maintenance workflows and machine control. Applications combine connectors, engines, agents, and existing models around a specific operational objective. They give users a simple way to deploy, supervise, and improve how work gets done.

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Autonomy without governance is a bad idea.

Traditional automation executes predefined logic within a machine or process. Kelvin adds a decision layer above that automation: understanding operating context, coordinating decisions across the operation, and determining what should happen next.

The level of autonomy is yours to set. The same decision can begin as an insight, progress to a human-approved action, and run autonomously once your engineers trust the evidence.

Pump jack on a production field at dusk

Agent in the room.

Kelvin observes the operation, investigates events, answers questions, and recommends what should happen. No action is taken.

Human in the loop.

Kelvin determines the proposed action and presents the evidence, rationale, and exact change. An authorized person approves or rejects it.

Closed loop.

Kelvin determines and executes actions autonomously within the policies, operating limits, and guardrails your engineers define.

Autonomy can be enabled by use case, asset, or operating condition, and changed or revoked by authorized users. At every level, existing PLC and RTU logic, alarms, safety systems, interlocks, and manual controls remain in place. Kelvin adds the coordination required to operate above them.

The goal is not necessarily lights-out operations. It is the right decision, at the right level of autonomy, with a measurable result. The three levels of autonomy

Your operation, your intelligence, your control.

The Kelvin platform is built to augment the technology you already run, not replace it with another closed system. You own your data, asset models, applications, models, and operational knowledge. You decide which intelligence to use, what it can do, and how actions are governed.

Control engineer at a panel

Runs where the operation happens.

Kelvin can run at the edge, on premises, in the cloud, or across any combination of the three. Intelligence and control can be deployed where they make the most operational sense. That means close to the machines when latency, reliability, security, or regulation requires it. It means the cloud when scale and centralized coordination matter.

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Operations do not depend on an internet connection.

At the edge, Kelvin keeps acquiring and processing data, running models and agents, executing governed actions, and recording results. It buffers data until the connection returns. The same architecture runs on a single machine, across a facility, or across a distributed fleet of assets. Intelligence can run anywhere, and the action stays close to the operation.

Bring your own models, agents, and AI, or start with Kelvin’s.

As intelligence changes, Kelvin provides the persistent operational layer that connects it to the physical world. That layer is governed execution, control, measurement, and the feedback loop that turns every action into the input for the next decision.

As AI changes, the operational knowledge you have built and the learning you create remain yours.

Kelvin is intelligence-agnostic, but action-native: no lock-in to a model, cloud, or control vendor.

AWS MarketplaceAzure MarketplaceOn-prem · at the edgeBring your own models

Actions are more valuable if you know what changed.

Kelvin measures the result of every action. Operational outcomes are compared against baselines defined with your engineers, so improvements can be attributed to what actually changed.

Kelvin connects the decision, the action, and the outcome in one auditable record.

This includes the underlying operating data, control changes, and impact calculation.

That means you can see not only what Kelvin did, but what it was worth.

Worth is measured in production, throughput, downtime, energy, waste, cost, or other operating measures that matter to your business.

Every action has an outcome, and every outcome becomes evidence for the next decision.

Measured impact in real operations.

Kelvin operates in production across thousands of industrial assets. Every action is governed by defined operating limits, recorded in an audit trail, and measured against the asset’s operating baseline.

Leading materials manufacturer

At a leading materials manufacturer, Kelvin processes more than 1.2 billion sensor readings each month.

It continuously adjusts the operation to increase throughput and prevent costly process crashes.

16%higher production
59%less waste
$35M+a year, projected

Fortune 500 energy services

At a Fortune 500 energy services company, Kelvin has been running continuously in production for more than six years.

It has expanded across three operating divisions, with autonomous control of critical workflows.

50%less operational downtime
90%fewer field visits
6+years in production

Global energy major

For a global energy major, Kelvin moved from concept to proven results in six months.

It scaled to hundreds of wells in under a year. Kelvin monitors operating conditions, identifies opportunities to intervene, and takes governed action to improve production while reducing emissions and field activity.

74%less methane vented
20%higher production
22%lower field costs

Every result is measured against the operating baseline, because an action only matters if you can prove what it changed.

The operating pattern travels.

The equipment changes by industry, but the underlying problem often does not: changing conditions, repeated decisions, interacting constraints, and measurable outcomes.

Wellhead work in the field
Energy

Production, artificial lift, compression, separation, gathering, produced water, power, emissions response, and field operations.

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Operator on a production line
Manufacturing

Continuous and process manufacturing where production decisions depend on live equipment conditions, upstream and downstream constraints, energy and raw-material costs, quality, and throughput.

Kelvin can coordinate decisions across the whole process instead of optimizing each unit independently.

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Service engineer working on plant equipment
Industrial services

Pumping, blending, cementing, power systems, stage transitions, equipment coordination, and remote operations.

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Renewables assembly line
Power

Generation, dispatch, load following, fuel optimization, emissions, and equipment availability.

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Tubulars stacked at a materials yard
Mining and materials

Crushers, mills, dryers, separators, material flow, moisture, temperature, energy, throughput, and quality.

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A crew with drawings on site
Your industry

If an operation produces live signals, contains a repeatable decision, provides a safe path to act, and produces a measurable result, the Kelvin platform can potentially close the gap.

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The questions we get asked.

Will Kelvin work with what we already have?

Yes. Kelvin is designed to augment your existing infrastructure, not replace it. It connects to the control systems, historians, data platforms, and enterprise systems you already run, regardless of vendor.

The Kelvin platform adds the operational layer that connects intelligence to action.

Can our own people build and run it?

Yes. Kelvin is an open platform built for the engineers and operators who understand the operation.

Tasks let users build and deploy operational workflows directly from the interface without writing code. Developers can use the Kelvin SDK, APIs, and containerized applications to build with the tools and languages they already know.

What happens when the cloud connection drops?

The operation keeps running. Kelvin keeps acquiring and processing data, running models and agents, executing governed actions, and recording results locally. It buffers data until the connection returns.

What happens when the data is wrong or an action fails?

Kelvin checks both. Data Quality determines whether incoming information is fit to drive a decision. Guardrails prevent actions outside defined operating limits. Kelvin verifies what the control system actually did and records the decision, action, and result.

Where does Kelvin run?

Where the operation requires it. Kelvin can run at the edge, on premises, in your cloud environment, or as a Kelvin-hosted service. Workloads can be deployed where latency, reliability, security, regulation, and economics make the most sense.

Is Kelvin secure?

Kelvin is SOC 2 Type II audited annually and participates in the Cloud Security Alliance STAR registry.

Enterprise identity and access controls govern who can use the platform and what they can do. Actions, approvals, and changes in autonomy are recorded in a comprehensive audit trail.

Who owns our data and operational intelligence?

You do. Kelvin is built to keep your intelligence portable, so you are not locked into a particular AI model, cloud, or control vendor.

See Kelvin in your operation

Close the gap between intelligence and action. Get in touch and we will work with you to identify a use case. Kelvin connects to the systems you already run and deploys against it. It measures the operational and financial result against an agreed baseline.

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SOC 2 Type II · CSA · aligned with ISO
COMPETE 2030, Portugal 2030, co-financed by the European Union Recuperar Portugal PRR Plano de Recuperação e Resiliência, República Portuguesa, financed by the European Union NextGenerationEU