Peaxy Lifecycle Intelligence

Predictive asset management for industrial equipment. Turns operational data into insights that optimize productivity, improving the lifetime value of assets.
Enables new uptime-centric servicing opportunities.

Peaxy Lifecycle Intelligence is a modular, scalable, cloud-based asset management application aligned with the needs of the value-driven enterprise. By rapidly turning operating data into financial insights, PLI lets operators minimize O&M costs and optimize performance, improving the lifetime value of industrial assets.

PLI is extensible, with modules that extend the core functionality in specific domains: Anomaly Detection adds predictive analytics to the alerting system; Digital Dossier manages the digital footprint of serialized equipment; other modules enable condition-based servicing and compliance regimes.

PLI serves a wide range of use cases involving precision-engineered equipment, including gas and steam turbines, wind turbines, compressors and propulsion installations.


Asset tracking

Register and track industrial assets at the portfolio-, site- and unit level.

Real-time telemetry

Securely collect, store and display real-time sensor data from your assets.

Reporting and visualization

Gain insights from both live and historical data, at every level of hierarchy.

Role-based user management

User-centric functions and views for multiple roles — from field technician to CEO.

Alert notifications

User-defined notifications delivered across multiple channels — email, sms, web.

Available modules for PLI

Anomaly Detection

Trains a basket of machine-learning algorithms on historical failure data to discover non-trivial discrepancies in live data streams that can signal incipient component failures. These anomalies are fed into PLI’s alert management system, where the user can fully analyze the data.

By choosing to pre-emptively repair or replace equipment, operators can avert catastrophic failures. Because each asset class has a unique use case, Peaxy’s analytics experts perform the initial tuning and tweaking of algorithms. The module’s accuracy improves over time through continuous data ingestion, the use of multiple competing algorithms, and manual feedback on false-positive alerts.

Digital Dossier

Collects, analyzes and manages the digital footprint of each serialized physical asset under management. Both structured datasets and unstructured files are indexed, threading together a serial number’s engineering drawings, service manuals, service records, test and simulation data, and continuously updated live data.

By linking to ERP and PLM datasets, Digital Dossier can chart the relationships between serial numbers, enabling complex queries that make this information universally accessible across the enterprise. Digital dossier can also speed up common O&M tasks through automation — including integrity management, permitting, deployment, proactive maintenance, regulatory compliance, insurance and root cause analysis.

Service Manager

Provides maintenance planning tools that minimize O&M costs: A task manager turns alerts into action items, notifying assigned crews via a smart scheduler. Production losses are minimized by planning downtime around demand peaks and weather, and by grouping related tasks. Connectors integrate with the operator’s existing external tools, such as ERP inventory management systems or legacy asset management applications, like Maximo.

Ambient Profiler

Applies real-time location-based ambient data to performance- and stress models of deployed industrial equipment to better inform decision-making around extending operational windows. Enables a compliance regime with optimized maintenance and inspection plans, and calculates the resulting O&M savings. Provides payback analysis when negotiating sales and service agreements.

Advanced Reporter

Generates interactive reports for data sets using a toolbox of visualizations, such as control charts, scatterplots, chord diagrams, treemaps and network graphs. Reports can be preconfigured to define input criteria, output formats, trigger frequency and recipients. Outputs can visualize individual components, or else show the comparative performance of an entire class of components meeting specific criteria.

Use cases

Digital Dossier brings discipline to battery R&D

For manufacturers of industrial batteries, improving the storage efficiency, asset life and manufacturing yields of batteries is essential to maintaining a competitive advantage in this fast-moving technology sector. Testing new battery builds and electrolytes lies at the core of the R&D process, but if the experiments don't accurately define and document the building and testing of batteries, battery performance cannot reliably be traced back to correlating factors in the battery design or assembly.

Peaxy Lifecycle Intelligence (PLI) with Digital Dossier enables a fully digitized R&D process that enforces the discipline necessary to properly advance the science and lock down the tolerances needed in the manufacturing process. Where previously travelers were paper-based, data is now captured automatically by PLI or input directly by the assembly line operator.

The digital traveler extends through the entire lifecycle of the test battery: By capturing and analyzing all the test data, as well as the autopsies that follow it, every possible performance factor is parametrized and available to the experiment designers as a queryable feature.