Predictive Maintenance AI
Falkonry
SF 8.1Operational AI for time-series data
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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
Falkonry may fit better if...
- Time Series AI
- Pattern Detection
- Edge Deployment
Augury may fit better if...
- Vibration Sensors
- AI Diagnostics
- Expert Review
Overview
How each tool is described
Falkonry
What is Falkonry?
Falkonry is a Time Series AI platform for industrial, defense, energy, IT, and other mission-critical systems. It analyzes high-frequency sensor, operational, and telemetry data to detect anomalies, discover recurring patterns, explain abnormal behavior, and provide earlier warning of conditions that could affect equipment or system availability.
- Operational intelligence: Falkonry’s patented PatternIQ technology analyzes multivariate time-series signals across different sampling rates and timescales. It automatically engineers features and can discover distinct patterns without labeled examples, while showing which signals contribute to detected behavior so engineers can investigate what changed and why.
- Engineering workflow: the platform supports automated anomaly detection, early-warning patterns, pattern classification, root-cause investigation, condition-based alerts, and case-based operational learning without requiring engineers to build conventional data-science pipelines or tune model hyperparameters. Falkonry Rules can combine raw signals and AI outputs to trigger condition-based actions while suppressing transient or repetitive alerts.
- Implementation checks: buyers should assess telemetry sources and protocols, data volume and sampling frequency, system hierarchy, compute requirements, security constraints, and latency requirements. Falkonry currently supports public cloud, private cloud resources, government cloud, fully air-gapped environments, and an edge hardware/software platform for disconnected or low-bandwidth operations.
- Commercial considerations: Falkonry uses a sales-led purchasing process rather than publishing standard subscription tiers. Organizations can evaluate the technology through a free one-week offline trial using historical Parquet data, while production pricing depends on deployment and computational requirements rather than simply the number of monitored metrics.
Falkonry is particularly relevant to engineering and operations teams that need scalable anomaly detection, pattern discovery, and diagnostic intelligence directly from complex real-time telemetry without maintaining traditional machine-learning pipelines.
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 AIFalkonry
Predictive Maintenance AIAugury
Best for
Predictive Maintenance AI
Predictive Maintenance AI
Score
8.1/10
9.0/10
Pricing
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Category / audience
AI Maintenance, CMMS & Asset Reliability Software › Predictive Maintenance AI
- time series ai
- operational ai
- anomaly detection
AI Maintenance, CMMS & Asset Reliability Software › Predictive Maintenance AI
- predictive maintenance
- machine health
- vibration analysis
Feature check
Side-by-side feature check
Feature
Falkonry
Augury
Time Series AIModels built for industrial signal data
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Pattern DetectionIdentifies operating modes and abnormal events
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Edge DeploymentRuns near historians and control systems
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Event ExplanationsDescribes signals contributing to detected events
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Workflow IntegrationFeeds insights into existing operations tools
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Configurable ModelsEngineers can tune detection logic per asset
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12 capabilities compared.12 differentiating rows are shown first.
Use cases
Who they're built for
Falkonry
- Detect process anomalies in timeFind unusual signal behavior on process plant equipment
- Classify operating modes clearlyIdentify steady upset and transition states automatically
- Reduce process plant tripsCatch developing issues before alarms trigger shutdowns
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
Falkonry
Pros
- Built specifically for industrial time series
- Edge deployment fits existing operations setups
- Event explanations help engineers act quickly
Cons
- Needs rich time-series data to be effective
- Engineering collaboration needed for best outcomes
- Less ideal for sites with sparse instrumentation
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
Best fit depends on your workflow
Current catalog data shows meaningful overlap between Falkonry and Augury. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.
Differentiators available
Falkonry has 4 visible decision signals and Augury has 4.
Score signal
Augury has the higher SoftFinders Score in the current catalog data.
Choose Falkonry if…
- Detect process anomalies in time
- Classify operating modes clearly
- Reduce process plant trips
- Time Series AI
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.