Dossier · Private startup · 0 independent sources
Augury
Last updated: Jul 31, 2026
Augury is an industrial AI company whose Machine Health platform combines industrial IoT sensing, vibration analysis, prescriptive diagnostics, and reliability expertise to identify equipment problems early and turn them into maintenance actions. Its broader Production Health offering connects machine, process, and operational data to improve manufacturing uptime, yield, and capacity.
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Augury provides a Machine Health platform for asset-intensive operators that pairs industrial IoT sensors with software, AI diagnostics, and human reliability expertise. Its monitoring captures vibration, temperature, magnetic, and related operating signals from industrial equipment, then identifies patterns associated with wear, imbalance, misalignment, lubrication problems, and other developing faults. The product is explicitly prescriptive: the intended output is not merely an anomaly score, but a diagnosis, severity assessment, and recommended maintenance response that can be routed into existing work-management systems.
The company now positions Machine Health alongside Process Health and an Industrial AI Workforce, extending beyond isolated asset monitoring toward plant-level operational intelligence. Its target customers are manufacturers and other operators of critical mechanical assets across multiple verticals. Augury says the platform covers more than 200 asset types and has accumulated more than 1.1 billion hours of machine monitoring; these are company-reported figures, not independently audited operating metrics, but they are meaningful evidence of a long-running commercial data and deployment base. The company also cites a commissioned Forrester Total Economic Impact study reporting a composite customer payback period below six months and 310% three-year ROI. Those results should be treated as directional because the study was commissioned by Augury and modeled a representative organization.
Commercial defensibility depends on more than sensor hardware. Augury has built integrations and partner routes around SAP PM, IBM Maximo, Infor EAM, MaintainX, Limble, Azure, PTC, and AVEVA, and it supports OEM and service-partner deployment models. Those connectors can reduce rip-and-replace friction and help alerts become traceable work orders, which is important for adoption and renewal. The counterweight is that industrial software incumbents, condition-monitoring specialists, OEMs, and internal reliability teams all compete for the same budget. Diligence should test the share of deployments that scale beyond an initial site, the proportion of alerts that lead to verified corrective action, implementation effort, gross margin after expert support, and retention by cohort.
The company was founded in Israel in 2011 by Gal Shaul and Saar Yoskovitz and maintains corporate operations in New York and Haifa. Augury’s official history records a $180 million Series E in 2021 and a $75 million Series F in 2025, so the current status is late-stage private rather than Series E. LinkedIn lists the company in the 201–500 employee range, consistent with a substantial go-to-market, customer-success, reliability-services, and engineering organization. The 2025 financing and continued product expansion support a mature-stage classification, but they do not by themselves establish profitability, revenue scale, or a path to liquidity.
For defense and critical-infrastructure use, the same stack has credible but indirect dual-use relevance because readiness depends on keeping mechanical assets available. Generators, pumps, compressors, chillers, HVAC, depot equipment, shipyard machinery, and defense-industrial production lines can all benefit from earlier fault detection and better maintenance prioritization. This is a sustainment and resilience thesis, not a weapons capability. The defense case remains unproven in this record: adoption would depend on OT cybersecurity, data residency, edge or disconnected operation, safety documentation, human override, and integration with existing maintenance and logistics systems. Strategic diligence should therefore seek evidence of deployments with government, defense-prime, or critical-infrastructure operators rather than infer it from commercial manufacturing traction alone.
Dual-Use Assessment
Augury has credible dual-use potential in maintenance and resilience: condition monitoring for generators, pumps, compressors, HVAC, depots, shipyards, and defense-industrial production assets could improve readiness and reduce sustainment downtime. The relevance is indirect and evidence for actual defense adoption is not established in the public sources reviewed, so this should not be treated as a defense-specific product or government-contract claim.
Strategic Fit Assessment
Priority signal means this entry may be worth researching within the Claw & Talon thesis. It does not mean investable, suitable, endorsed, available, or likely to produce returns.
Augury is a credible late-stage private industrial AI company with a large reported machine-data footprint, a differentiated prescriptive-maintenance workflow, and a plausible resilience and sustainment adjacency. The 2025 Series F indicates continued financing support, while the company’s integrations and reliability-services model may help convert analytics into operational adoption. This legacy priority signal is not an investment recommendation: diligence should focus on recurring software economics, customer retention, implementation intensity, model performance across new asset classes, financing and liquidity needs, and evidence that defense or critical-infrastructure buyers can meet security and procurement requirements.
Strategic Value to U.S.-Israel Alliance
Augury’s strategic value is strongest as an industrial resilience and maintenance-modernization layer. Its platform can help organizations extract more availability from existing equipment and connect machine signals to enterprise maintenance workflows, which is relevant to factories, utilities, logistics, and potentially defense sustainment. The value is conditional: public evidence supports commercial industrial traction, not defense deployment, and the platform’s strategic importance would rise materially if it demonstrated secure operation in regulated or mission-critical environments.
Key Technologies
- Industrial IoT sensing for vibration, temperature, magnetic, and related machine signals
- Edge-to-cloud time-series data ingestion and asset-health analytics
- AI anomaly detection, fault classification, and prescriptive diagnostics
- Reliability expert validation and vibration-analysis workflows
- CMMS/EAM, historian, SCADA, and industrial data-platform integrations
- Process Health and operational-data contextualization
- AI-agent workflow automation for maintenance and production teams
Use Cases & Applications
- Predictive maintenance for motors, pumps, compressors, gearboxes, and other rotating assets in manufacturing plants
- Condition monitoring for HVAC, chillers, fans, and other facility systems
- Uptime optimization for water, power, cooling, and other critical-infrastructure mechanical assets
- Potential condition-based maintenance for military ground-support equipment and base facilities, subject to qualification and procurement requirements
- Potential shipyard and port equipment monitoring for cranes, pumps, and compressors, subject to site and cybersecurity validation
- Defense-industrial production-line reliability and early fault detection as a strategic adjacency rather than a documented customer claim
- Multi-site maintenance prioritization and closed-loop work-order execution
Sources and verification
This profile is based on public-source research, Claw & Talon curation, and editorial judgment. Inclusion does not imply endorsement, partnership, investment, or a recommendation to transact. Readers should still confirm current status, customers, funding, and product claims before relying on this profile. The editorial policy explains how profiles are researched, where automated drafting is used, and how corrections work; the research methodology documents how evidence is graded, what counts as an independent source, and why some profiles are excluded from search indexing.
This record lists 7 public references used for company identity, status, positioning, or material-claim review.
Public sources
The links below are visible public references used for source discipline around company identity, status, funding, customer, acquisition, public-company, or other material claims where available.
- augury.com Public source used for profile verification.
- augury.com Public source used for profile verification.
- augury.com Public source used for profile verification.
- augury.com Public source used for profile verification.
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- LinkedIn company page Public source used for profile verification.
- augury.com Public source used for profile verification.
- Profile update timestamp Last updated in the Claw & Talon database on Jul 31, 2026.
Related sector
See the AI & Data Platforms sector page for market context, related subcategories, and other Israeli companies in this part of the database.