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Augury
AI tool profile ·
A machine health service that clips wireless sensors onto factory equipment to catch failures early, with human analysts checking the AI's alerts.
75TriVista score
Category rank#6 in Manufacturing, Industrial, Maintenance, and Quality AI
Baseline ELO1,500.9
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At a glance
What it does
Augury is a machine health monitoring service for factories. It sells wireless sensors that clip onto pumps, motors, and other rotating equipment and track vibration, temperature, and magnetic signals around the clock. Augury's AI flags early signs of wear or failure, and a team of certified vibration analysts reviews many alerts before they reach the customer, which cuts false alarms compared to simple threshold alarms. The system connects to common maintenance software, including SAP PM, IBM Maximo, and Infor EAM. Augury holds ISO 9001 and ISO 27001 certifications. Customers span food and beverage, chemicals, pharmaceuticals, mining, and oil and gas, and most sites see results on their first monitored machine within about a month.
Where it can help
This fits a plant with a lot of rotating equipment, such as pumps, motors, fans, and compressors, and a reliability or maintenance team that wants fewer surprise breakdowns. A common starting point is one production line or one set of critical machines; sensor hardware ships with the subscription, and setup on a first machine often takes about a month. Public pricing is not listed; third-party estimates put costs around $50 to $200 per machine per month, so confirm real numbers with Augury directly and budget separately for sensor batteries, which need replacing every three to five years. The tool works best on rotating equipment monitored by vibration and is a weaker fit for failure types that vibration sensors do not catch well. Expect an ongoing subscription cost per machine, not a one-time purchase.
Business Goals
Business goals to explore
Potential matches to review against your requirements. Explore matching tools or read a task guide before you choose.
Generate executive KPI dashboards
Bring key business metrics together in dashboards and summaries for leadership.
Improve production scheduling
Plan production around orders, available capacity, materials, and delivery deadlines.
Improve shop floor productivity
Identify bottlenecks and support frontline teams with clearer work instructions and operational insights.
Predict equipment maintenance needs
Use equipment data to spot potential issues and plan maintenance before breakdowns.
Company fit
Where this tool fits best
The industries and leadership roles this tool is most often matched with.
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
How your company could affect the fit
How one company factor at a time moves the modeled score. The published score is unchanged.
Technology Maturity Low Modeled score74.8 / 100 Modeled category rank#4
Baseline Moderate
Adjusted ELO 1,499.0
Change from baseline -2.7 ELO
Revenue Band $500M-$2B Modeled score75.5 / 100 Modeled category rank#4
Baseline $25M-$100M
Adjusted ELO 1,503.3
Change from baseline +1.6 ELO
Industry Automotive and transportation Modeled score75.0 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,500.3
Change from baseline -1.4 ELO
Industry Construction and real estate Modeled score75.1 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,500.6
Change from baseline -1.1 ELO
Industry Financial and professional services Modeled score75.1 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,500.7
Change from baseline -1.0 ELO
Industry Technology and telecommunications Modeled score75.2 / 100 Modeled category rank#9
Baseline Consumer products
Adjusted ELO 1,501.1
Change from baseline -0.6 ELO
Revenue Band Over $2B Modeled score75.4 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,502.3
Change from baseline +0.6 ELO
Revenue Band $100M-$500M Modeled score75.2 / 100 Modeled category rank#6
Baseline $25M-$100M
Adjusted ELO 1,501.2
Change from baseline -0.5 ELO
Industry Industrial manufacturing Modeled score75.2 / 100 Modeled category rank#10
Baseline Consumer products
Adjusted ELO 1,501.2
Change from baseline -0.5 ELO
Technology Maturity High Modeled score75.3 / 100 Modeled category rank#4
Baseline Moderate
Adjusted ELO 1,502.0
Change from baseline +0.3 ELO
Company Type Business services Modeled score75.3 / 100 Modeled category rank#7
Baseline Manufacturing
Adjusted ELO 1,502.0
Change from baseline +0.3 ELO
Industry Energy and utilities Modeled score75.2 / 100 Modeled category rank#7
Baseline Consumer products
Adjusted ELO 1,501.4
Change from baseline -0.3 ELO
Industry Retail and distribution Modeled score75.2 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,501.5
Change from baseline -0.2 ELO
Industry Healthcare and life sciences Modeled score75.3 / 100 Modeled category rank#3
Baseline Consumer products
Adjusted ELO 1,501.9
Change from baseline +0.2 ELO
Industry Food and beverage Modeled score75.3 / 100 Modeled category rank#8
Baseline Consumer products
Adjusted ELO 1,501.9
Change from baseline +0.2 ELO
Revenue Band Under $25M Modeled score75.3 / 100 Modeled category rank#5
Baseline $25M-$100M
Adjusted ELO 1,501.5
Change from baseline -0.2 ELO
Cost guide
What it can cost
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $103.3K | $161.7K | $258.8K |
| Three-year total | $226.3K | $339.9K | $522.5K |
| First-year cost per unit | $103.3K | $161.7K | $258.8K |
| Average annual cost per unit (over three years) | $75.5K | $113.3K | $174.2K |
Cost breakdown by scenario
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $37.5K | $50K | $67.5K |
| Implementation | $16.8K | $28K | $47.6K |
| Integration | $17.6K | $32K | $57.6K |
| Staff time and change management | $10.5K | $15K | $21K |
| Security | $7.7K | $11K | $16.5K |
| Administration | $5.6K | $7.5K | $10.1K |
| Support | $2.6K | $3.5K | $4.7K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Get started
What you need first
What you need firstSet up the basics
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
How to startSet clear limits
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Before you scaleSet safe working rules
Recommended next action
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Decision ownerBusiness and technology owner
STARTSet a goal and owner
Define what success looks like for a test of Augury and assign someone to lead it.
FIRST MONTHTest one workflow
Once the requirements above are met, compare a small trial with how your team works today.
MONTH TWOReview actual use
Track adoption, output quality, business results, and actual costs against the estimate.
MONTH THREEDecide what comes next
Use the results to decide whether to stop, adjust, or expand the pilot.
Risk profile
Required controls
Security and safe use
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Exit and rollback
Export edge deployment settings and safe-state and override configuration, plus raw sensor history, derived features, asset hierarchy, alerts, diagnoses, work-order links, operator feedback, model versions, thresholds, and edge configuration from Augury Machine Health. Keep authoritative source records in CMMS. Site hardware, trained asset models, and OT integrations create high switching cost; keep machine history in usable time-series formats and overlap vendors long enough to validate safety and detection performance.
Recommended next step
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Other tools to review
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How to learn more about this tool
Where to check the product, price, security, and support.
Official product information
augury.com
Read official information →
Research observations recorded: 1. Evidence quality: Some support.
Score history
How the rating has changed
Recorded score and category rank across research updates.
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TriVista Score 75.2/100Category rank #6
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TriVista Score 75.2/100Category rank #6
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