Peaxy logo

Peaxy

by Peaxy · Since 2012
No reviews yet
Active1+ countriesCloud
Quick facts
VendorPeaxy
Year launched2012
StatusActive
Location2150 Trade Zone Blvd.. San Jose, CA 95131
Countries served1+
Languages1
IntegrationsN/A
Free tierNO
Free trialNO
Contact salesYES
Last reviewed: May 2026

About Peaxy

Peaxy is a data management platform from Peaxy that assists organizations in managing and analyzing large datasets. It combines data ingestion, analytics, and visualization so users can derive insights from complex information. Peaxy supports various data types and offers tools for integration with existing data sources.

Peaxy is an industrial AI and predictive analytics platform designed to help organizations manage complex assets across their entire lifecycle. By creating digital twins and threading data from R&D through to field deployment, Peaxy enables users to anticipate failures, optimize performance, and extend the life of critical equipment in sectors like energy, defense, and infrastructure. The platform is particularly noted for its ability to handle large, unstructured datasets and provide actionable insights through machine learning. While Peaxy offers robust cloud-based solutions, it also supports on-vessel or edge deployments for mission-critical environments where internet connectivity is not guaranteed. The company emphasizes a collaborative, iterative approach to implementation, typically delivering integrated solutions within 90-120 days. Pricing is not publicly disclosed and requires a quote, reflecting the enterprise-focused, modular nature of their software. This enables users to harness the full potential of their data for decision-making and reporting purposes. The platform is designed to accommodate diverse industries and use cases, providing users with flexibility in data handling.

Pros & Cons

Pros
  • Provides advanced digital twin capabilities for complex industrial assets.
  • Supports both cloud and edge/on-vessel deployment models for mission-critical needs.
  • Offers deep lifecycle data threading from R&D to end-of-life.
  • Proven track record with high-security organizations like the U.S. Department of Defense.
Cons
  • Pricing is not published and requires a custom quote based on specific business requirements.
  • Implementation is a consultative process rather than a self-service setup.

Features

Key features

Digital Twin Modeling

Creates virtual replicas of physical assets to simulate performance and predict outcomes.

Predictive Maintenance

Uses machine learning to forecast asset failures and degradation before they occur.

Lifecycle Data Threading

Unifies data across the entire asset lifecycle from R&D to field operations.

Anomaly Detection

Identifies deviations from normal operating ranges in real-time sensor data.

Condition-Based Maintenance

Provides maintenance recommendations optimized for various mission readiness scenarios.

Additional features

Battery Health Monitoring

Tracks state-of-health and degradation for energy storage systems.

Fleet Optimization

Models asset performance under real-world conditions to improve readiness.

Energy Management

Measures production versus consumption for microgrids and facilities.

Data Ingestion

Aggregates unstructured data from diverse industrial sensors and systems.

Physics-Based Modeling

Combines empirical data with physics models for accurate performance predictions.

Automated Reporting

Generates insights and health scores for fleet operators.

Scalable Architecture

Supports deployment from lab-scale testing to gigafactory-wide operations.

Security Compliance

Aligns with NIST 800-171 and SOC 2 standards for mission-critical data.

Pricing

Free trial
Free version
Request a quote
Promo Offer

Countries & Languages

1
Countries served
1
Interface languages
1
Billing currencies

Available in

All Countries.

Interface languages

English

Billing currencies

🇺🇸USD

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