Predictive Maintenance AI
Uptake
SF 8.0Industrial AI for asset performance
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Predictive Maintenance AI
Augury
SF 9.0AI-driven machine health diagnostics
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Quick decision guide
Choose based on your workflow
Uptake may fit better if...
- Asset Models
- Data Integration
- Failure Prediction
Augury may fit better if...
- Vibration Sensors
- AI Diagnostics
- Expert Review
Overview
How each tool is described
Uptake
What is Uptake?
Uptake provides AI-driven predictive maintenance software for commercial fleets and public-sector operations. Uptake Fleet combines telematics, sensor, OEM fault-code, and work-order data to identify vehicle and component risks before they become roadside failures, while Uptake Federal applies predictive and prognostic analytics to fleet readiness and maintenance planning.
- Predictive maintenance: Uptake applies data-science models to connected-vehicle and maintenance data to detect developing problems, generate vehicle and subsystem risk scores, and surface component-level insights before failure. Its current Fleet release materials describe 198 off-the-shelf models covering predictive analysis of vehicle systems and components.
- Fleet intelligence: The Mixed-Fleet Data Hub consolidates signal and fault data from multiple telematics providers into a common fleet view. Risk Explorer helps teams identify and prioritize higher-risk assets, while Remote Diagnostics provides remote visibility into active vehicle problems. Fleet Insight Dashboards also combine telematics and work-order information to examine repeated repairs, warranty exposure, ROI, and device health.
- Maintenance integration: Uptake is designed to feed predictive findings into existing fleet-maintenance workflows rather than operate only as a separate analytics dashboard. Current integrations and partners include systems such as Geotab, Samsara, Platform Science, Trimble, and Fleetio, with Fleetio workflows able to turn Uptake insights into work orders and scheduled service. Buyers should assess telematics coverage, maintenance-system integration, historical work-order quality, fleet mix, and whether technicians can consistently act on predictive findings.
- Commercial and public-sector deployment: Purchasing is sales-led, with separate Fleet and Federal offerings. Uptake also maintains AWS Marketplace availability for applicable Fleet and Federal customers, including support for AWS commitments and private offers in GovCloud for qualifying federal organizations.
Uptake is most relevant to fleets with enough telematics and maintenance history to support predictive analysis and operational teams capable of acting on prioritized risks. Its value depends on data coverage, fleet composition, maintenance maturity, and whether earlier detection can convert unplanned failures into planned service.
Augury
What is Augury?
Augury is an industrial AI platform for manufacturers that combines machine-condition monitoring, prescriptive diagnostics, process optimization, and role-based AI agents. Its current Industrial AI Workforce connects machine and operational data to help reliability, maintenance, and operations teams identify risks, improve production performance, and move from diagnosis toward approved actions.
- Machine health: Augury’s Machine Health uses continuously connected industrial sensors to capture condition data such as vibration, temperature, and magnetic signals. AI diagnostics identify anomalies, faults, and severity, while Augury reliability experts validate important findings and provide guidance on what is failing, when action is needed, and what maintenance teams should do next.
- Process optimization: Process Health analyzes production data to identify root causes of inefficiencies and provides real-time recommendations to operators and engineers. Teams can adjust process controls and setpoints to pursue objectives such as higher throughput and yield while reducing waste, energy consumption, and process losses.
- Implementation checks: manufacturers should assess which assets justify continuous monitoring, sensor and connectivity requirements, production-data integrations, CMMS and maintenance workflows, process-data availability, and adoption by reliability, maintenance, and operations teams. Augury can also integrate with systems including CMMS, EAM, SCADA, and APM platforms.
- Commercial considerations: Machine Health is offered as a turnkey annual service billed per machine, per year. Augury states that the fee includes sensors, software, connectivity, installation, support, updates, and unlimited diagnostics rather than requiring customers to purchase the monitoring hardware separately.
Augury is particularly relevant to manufacturers that want predictive maintenance and process optimization connected to prescriptive guidance and industrial AI workflows rather than relying only on condition alerts or standalone analytics.
Side-by-side
Key differences
Criteria
Predictive Maintenance AIUptake
Predictive Maintenance AIAugury
Best for
Predictive Maintenance AI
Predictive Maintenance AI
Score
8.0/10
9.0/10
Pricing
Contact sales
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Category / audience
AI Maintenance, CMMS & Asset Reliability Software › Predictive Maintenance AI
- predictive maintenance
- industrial ai
- asset performance
AI Maintenance, CMMS & Asset Reliability Software › Predictive Maintenance AI
- predictive maintenance
- machine health
- vibration analysis
Feature check
Side-by-side feature check
Feature
Uptake
Augury
Asset ModelsPredictive models for heavy industrial equipment
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Data IntegrationCombines sensor control system and ERP data
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Failure PredictionEstimates failure risk and timeframes
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Reliability AppsWorkflow apps for engineers and operators
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Analytics LibraryReusable templates from industrial deployments
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Fleet InsightsCompares performance across distributed assets and sites
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12 capabilities compared.12 differentiating rows are shown first.
Use cases
Who they're built for
Uptake
- Predict failures on heavy equipmentForecast issues for mining and rail fleets
- Reduce energy asset downtimeIdentify risk on turbines transformers and generators
- Centralize asset performance dataCombine sensor maintenance and ERP data in one platform
Augury
- Protect critical rotating equipmentCatch motor pump and fan issues weeks early
- Reduce unplanned production downtimeUse diagnostics to schedule fixes during planned windows
- Support reliability without analystsGet diagnoses without hiring full-time vibration specialists
The trade-offs
Pros & cons of each tool
Trade-offs
Uptake
Pros
- Strong domain models for heavy industry assets
- Combines sensor maintenance and ERP data
- Reliability apps support engineers and operators
Cons
- Aimed at data mature large industrial operators
- Product packaging has shifted over recent years
- Implementation needs serious data and engineering effort
Trade-offs
Augury
Pros
- Trusted diagnostics on critical rotating equipment
- Bundled experts review machine health alerts
- Fast time to value on pilot lines
Cons
- Coverage focused on rotating equipment classes
- Subscription cost adds up across many machines
- Less self-service customization than analytics platforms
Final verdict
Augury has the stronger catalog fit
Current catalog data gives Augury more decision signals for this pair. Verify pricing, setup effort, and ecosystem fit before committing.
Differentiators available
Uptake has 4 visible decision signals and Augury has 4.
Score signal
Augury has the higher SoftFinders Score in the current catalog data.
Choose Uptake if…
- Predict failures on heavy equipment
- Reduce energy asset downtime
- Centralize asset performance data
- Asset Models
Choose Augury if…
- Protect critical rotating equipment
- Reduce unplanned production downtime
- Support reliability without analysts
- Vibration Sensors
TRY THEM YOURSELF
See which one fits your workflow
Both tools have their strengths, the best way to decide is to spend a few minutes inside each.