Augury Machine Health
Augury Machine Health: A focused machine-health platform for predictive maintenance and reliability workflows. Ranked #19 of 28 in Manufacturing Analytics Software by our editors (7.2/10); pricing: Pricing on request; best for reliability teams focused on machine health.
At a glance
- Editor score7.2 / 10
- PricingPricing on request
- Best forReliability teams focused on machine health
- Founded2011
- Facts checked22 Sep 2026
Where it wins
- Combines AI fault detection with reliability-specialist validation.
- Connects machine-health insights to CMMS and EAM work orders.
- Supports web, iOS, Android, API, and industrial data connections.
Where it doesn't
- Pricing is handled through sales rather than published numeric plans.
- Its focus is narrower than broad manufacturing analytics suites.
- Cloud deployment may not fit teams requiring another deployment model.
Our verdict on Augury Machine Health
Augury Machine Health is a cloud-based industrial analytics platform for manufacturers and industrial operations. It is designed for maintenance, reliability, operations, and plant teams responsible for critical and non-critical equipment. The platform continuously monitors machine condition, detects anomalies and faults with AI, identifies fault severity, and adds validation from reliability specialists. It also provides prescriptive maintenance recommendations, asset-health dashboards, and portable diagnostics through Auguscope.
The strongest fit is for organizations that need to connect machine-health signals with established maintenance workflows. Augury supports integrations with SAP PM, IBM Maximo, and Infor EAM, along with CMMS and EAM systems, SCADA, historians, industrial data platforms, and public APIs. These connections can help route diagnostic findings into work-order processes while bringing operational data into the asset-health view. Availability across web, iOS, Android, and API also supports different users across reliability, maintenance, and plant operations teams.
Pricing is structured through sales, with the service described as an annual offering billed per machine per year. That model aligns with programs organized around monitored assets rather than simple user-seat plans. Augury Machine Health should appeal to teams prioritizing continuous condition monitoring, AI-assisted fault detection, expert diagnosis, and predictive maintenance recommendations. It is a less direct fit for buyers seeking a broad manufacturing analytics suite centered on production performance or quality workflows. Teams should also consider whether a cloud deployment matches their operational requirements before selecting the platform.
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Augury Machine Health pricing
Augury Machine Health fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| OEE tracking | Not verified |
| Production analytics | Yes |
| Quality analytics | Not verified |
| Maintenance analytics | Yes |
| Deployment | Cloud |
| Shop-floor connectors | Yes |
| Data retention | Not verified |
| Deployment | Cloud, Mobile |
| Platforms | Web, iOS, Android |
| Compliance & security | ISO 27001, GDPR, SSO/SAML, 2FA |
| Support | Tickets, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 9 integrations: SAP PM, IBM Maximo, Infor EAM, CMMS, EAM, SCADA … |
| Pricing | Pricing on request (source) |
| Website | augury.com |
| Facts checked | 22 Sep 2026 |
Augury Machine Health integrations
Augury Machine Health lists 9 integrations on its own site.
- SAP PM
- IBM Maximo
- Infor EAM
- CMMS
- EAM
- SCADA
- industrial data platforms
- historians
- public APIs
Alternatives to Augury Machine Health
- L2L Manufacturing IntelligenceBroad manufacturing intelligence for connecting plant performance, maintenance, quality, and production data.9.4
- LineView NavigatorDeep plant and cross-site analytics for manufacturers managing operational performance.9.2
- Sight MachineAdvanced manufacturing analytics with hybrid deployment and industrial connectivity.9.0
See all Augury Machine Health alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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