Senseye Predictive Maintenance

Predictive maintenance software that forecasts machine failures from condition-monitoring data.

License: proprietary
Open source: No

Editorial review

Senseye Predictive Maintenance has not yet been editorially reviewed. User reviews and published field data below are unaffected — we say so rather than implying an editorial verdict.

Facts & attributes

Every value carries its evidence state. “—” means unknown — never a silent default (P-02).

Identity · Taxonomy

Tags(open-source;cloud-native): predictive-maintenance, industrial-ai, asset-intelligence, manufacturing, condition-monitoringVerification pending

Platform · Deployment

Delivery model(SaaS;self-hosted;desktop;mobile;embedded;managed-cloud;appliance): SaaS, managed-cloudVerification pending

Pricing · Licensing

License model(proprietary;open-source;source-available;dual-license): proprietaryVerification pending

Features · Product · Fit

Core capabilities(authoring;automation;analytics): Holistic asset health visibility across operations, Industrial AI failure prediction guided by reliability expertise, Scalable predictive maintenance across asset types, plants and regions, Automatic machine failure forecasting to minimize downtime, Works alongside existing CMMS, historians and operational systemsVerification pending

Support · Docs · Services

Support channels(email;ticket;chat;phone;community): advisory, implementation, optimizationVerified

Audience · Use · Case

Best for(Neutral editorial summary): Manufacturers scaling AI-driven predictive maintenance across plants to cut unplanned downtime without specialist data skills.Verification pending
Company-size fit(individual;SMB;mid-market;enterprise): mid-market, enterpriseVerification pending
Primary use cases(build;monitor;automate): Reducing unplanned machine downtime, Condition-based maintenance at scale, Asset health monitoring and risk prioritizationVerification pending
Skill level(beginner;intermediate;advanced;specialist): intermediateVerification pending

Lifecycle · Versioning

Maintenance status(active;maintenance;deprecated;EOL;archived): activeVerification pending

Vendor · Maintainer

Founded year(2012): 2014Verified
Headquarters country(US): United KingdomVerification pending
Vendor type(commercial;foundation;community;government;consortium;individual): commercialVerification pending

User reviews

Review policy

No published reviews yet.