The brain behind the nervous system.

A NODE understands the asset it is mounted on. AFFERENT Cloud is designed to understand everything the devices see together: a facility, a fleet, a portfolio of sites, and the way each asset has behaved over time.

Status: Development

Conceptual architecture

  1. NODE Senses the asset it is mounted on.
  2. Edge intelligence Analyzes signals locally, on the device.
  3. Secure communication Carries what matters, protected in transit.
  4. AFFERENT Cloud Aggregates fleets, sites and histories.
  5. Machine health model Learns how equipment behaves before failure.
  6. Customer systems Delivers findings to the tools teams already use.

What AFFERENT Cloud is for

AFFERENT Cloud is not general-purpose cloud computing, and it is not a place to rent servers. It has one job: to take what NODE devices observe and turn it into an understanding of machine health that a person or another system can use.

The division of labor between the device and the cloud is deliberate. Work that depends on a fast response or on high-frequency data is designed to happen at the edge. Work that depends on comparison, history and scale belongs in the cloud. Neither can do the other's part well.

Planned capabilities

The capabilities below describe the intended scope of AFFERENT Cloud. None should be read as a statement that a feature is commercially available today.

Fleet management

Operating thousands of physical devices is its own discipline. Devices need to be provisioned, located, configured, monitored and updated without a technician visiting each one. Fleet management is planned as the operational foundation of the platform.

Health visualization

The health of a facility should be readable at a glance and explorable in depth: which assets are behaving normally, which have changed, and which need attention first.

Anomaly intelligence

An anomaly on its own is only a statement that something is different. AFFERENT Cloud is designed to add context: how unusual the change is for this asset, whether similar assets have shown it, and whether other signals agree.

Predictive workflows

The intended output is a prioritized, explained recommendation that fits into how maintenance is already planned and performed.

APIs and integrations

Most operators already run maintenance management, building management or control systems. AFFERENT Cloud is being designed to deliver findings into those systems through documented interfaces. Public API documentation will be published when the interfaces are ready for use.

Model management

Models improve. The platform is designed to manage which model version runs on which device, to deploy improvements safely and to keep a record of what changed.

Asset histories

Every asset has a story: when it was installed, how it has behaved, what was repaired and what happened afterward. A durable history is what allows a finding to be judged against the past of the asset it concerns.

How a finding is meant to travel

Consider a single observation. A device on a circulation pump detects that a high-frequency component in the pump's vibration has been growing for several days, and that a faint acoustic change has appeared alongside it. On its own the device can say that this asset has departed from its own normal behavior.

AFFERENT Cloud is designed to add what the device cannot know. It holds the pump's history, including earlier repairs. It can compare the pattern with other pumps of the same type. It can relate the change to operating conditions reported by other devices nearby. From that wider view, the platform is intended to produce a fuller statement: the nature of the change, how it compares with previous cases, an estimate of urgency and a suggested first inspection.

The finding is then intended to reach the people responsible, through an alert or as an item in their maintenance system. After the pump is inspected, the result is recorded against the finding. Over time those recorded outcomes are what allow the platform to judge its own reliability and to state its confidence honestly.

Designed around trust

Operational data from critical equipment is sensitive. It can reveal how a facility runs, how hard it is working and where it is vulnerable. AFFERENT Cloud is being designed on the principle that this data belongs to the customer who generated it, that access to it must be controlled and recorded, and that it must be protected in transit and at rest. Our security page describes the approach, and it does not claim certifications we do not hold.

From AFFERENT News