Real-time, with every control in place
Grid data is critical infrastructure, and meter data is often personal data. Axual controls who can produce, consume, and manage every stream, and records every change automatically.
Real-time grid monitoring, smart meter data, and governed data exchange on infrastructure you control.



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Smart meters, substations, and sensors emit events every second. AMR workflows, settlement runs, and asset reports still move in batches, so operators see load fluctuations, equipment faults, and imbalance positions after the fact rather than as they happen. Axual streams those events as they happen, alongside the SCADA, metering, and settlement systems you already run.
Spot load fluctuations as they happen, not in the next report. Meter and grid data is processed the moment it arrives.
Fix equipment before it fails, not after an outage. Asset and sensor data streams continuously, so anomalies are flagged early.
Settle imbalance with accurate, up-to-date numbers. Production and consumption data is combined as it arrives instead of in end-of-day runs.
Publish each meter reading once and let every system use it. Settlement, analytics, and customer apps read the same stream, with no manual AMR collection.
Grid data is critical infrastructure, and meter data is often personal data. Axual controls who can produce, consume, and manage every stream, and records every change automatically.
An EU-owned supplier, built and supported in the Netherlands. Axual runs on your own infrastructure, so grid data never has to pass through an external service.
Grid visibility keeps running when part of your infrastructure doesn’t. Multi-AZ and multi-cluster deployment, with certificate expiry flagged before it can cause an outage.
When something goes wrong, see who changed what and when. If a system processed bad data, reset to a point in time and reprocess, without replaying everything.
Open Apache Kafka at the core, so if you ever leave, you keep a standard Kafka cluster.
Axual connects the OT and IT systems you already run and streams their data in real time, on-premises, in firewalled environments, in your cloud, or across all three.


Transmission system operator, Netherlands and Germany
Grid data arrived in batches. Now it’s processed in real time, giving continuous visibility across 24,000+ km of high-voltage grid serving ~43 million people, with self-service for teams and centralised security and audit.
Energy companies use Apache Kafka to move grid, meter, and asset data continuously instead of in scheduled batches. Typical uses are real-time grid monitoring, predictive maintenance on distributed assets, and allocation and reconciliation for imbalance settlement. Axual adds the governance layer on top of open Kafka: topic ownership, schema validation, access approvals, and an audit history of every change.
Yes, through Kafka Connect connectors, the REST Proxy for systems that cannot run a Kafka client, and the Java, Python, and .NET clients for systems that can. Enexis integrated legacy platforms including Tibco, Menix, and OSGI this way.
Schema owners mark fields as masked, and topic owners can mask additional fields per environment. Masked fields are hidden in Topic Browse, and strict masking prevents them being unmasked at all. Note that this controls what users see when browsing messages in the platform, not what is written to the topic, so field level encryption or tokenisation at the producer remains the customer's responsibility.
Yes. Axual runs open Apache Kafka on-premises, in firewalled environments or in your own cloud account, so operational and grid data never has to pass through an external service. Many teams share one governed platform, and the Distributor synchronises data between on-premises and cloud clusters. With no proprietary core, you keep a standard Kafka cluster if you ever leave. Dutch grid operators including TenneT and Enexis use Axual.
Application owners can reset a consumer group's offsets to a chosen timestamp and reprocess from that point, without replaying everything.
Smart meter data is streamed by publishing each reading once to a topic that many systems consume independently, rather than querying the source system repeatedly. Settlement, analytics, fraud detection, and customer applications all read the same stream. Enexis runs 70+ real-time streams feeding 60+ applications this way, with no manual AMR collection.
Yes. Axual Distributor distributes messages, schemas, and consumer offsets between clusters, which supports on-premises grid events reaching cloud analytics.
Pricing depends on deployment model, support level, and scale. Contact us for a quote.