What Is Augury? Guide + Better Alternative

What is Augury? Augury is an industrial AI company whose Machine Health offering combines industrial IoT sensors, multiple physical signals, AI diagnostics, expert analysts, services, and plant-system integrations to detect and characterize developing asset issues and guide maintenance action before failure.

Augury's scope also extends into operational intelligence and role-specific agents. Augury is the stronger fit when deep, analyst-backed diagnostics on critical assets drive the decision. Guidewheel is the better alternative when broad production visibility, downtime, and OEE across mixed equipment come first. These are different operating jobs, and some plants may need both layers.

Price check: The exact public Guidewheel figure below is in USD and was checked August 4, 2026. Augury's dollar amount remains quote-based, and contract or localized pricing may differ.

At a glance

Augury and Guidewheel at a glance

What Augury does

Augury describes itself as an industrial AI company combining predictive and prescriptive technology with operational data and AI agents. Its best-known offering, Machine Health, applies that model to industrial asset reliability.

Machine Health combines industrial Internet of Things sensors, AI diagnostics, expert services, and integrations. Current materials describe coverage across more than 200 asset types and four criticality levels. That breadth matters because an enterprise program can prioritize assets by consequence instead of treating every motor or pump identically.

Augury's standard wireless sensor captures tri-axial vibration, temperature, and magnetic-flux data. Ultrasound is available through a separate wired sensor aimed at ultra-low-RPM assets below 20 RPM, such as large gearboxes, rotary drums, and kilns. AI models interpret patterns, while CAT III and IV vibration analysts support diagnostics and prescriptive guidance. Augury says most teams see a first machine improvement in roughly 30 days. That is a vendor benchmark, not a deployment or savings guarantee.

Augury also supports connections to computerized maintenance management systems, enterprise asset management systems, SCADA, historians, and cloud platforms. Where its standard connectors do not fit, Augury offers public APIs, its own integration services, and certified system integrator partners for custom integrations. Integration is where guidance becomes operational: a finding needs an owner, work process, approval, and closure record.

Current Augury positioning extends beyond a maintenance-only description. The Industrial AI Workforce connects operational intelligence, Machine Health, role-specific agents, continuous learning, and approved actions across systems. Buyers should evaluate that current scope rather than a historical "vibration sensor company" shorthand.

The platform's primary value remains a machine-health decision: detect and characterize developing issues, add expert judgment, and guide action before the failure or performance loss becomes more severe. It is not principally an OEE state collector; OEE appears nowhere on Augury's Machine Health or Process Health product pages, even though the resulting maintenance actions can improve uptime and production.

How Augury Machine Health works, costs, and fits

The operating loop begins with representative physical signals from eligible assets. Those signals move through connectivity into analytics and diagnostic review. The output is guidance that a reliability or maintenance team evaluates, approves, and converts into action through plant systems and work processes.

That last mile deserves as much attention as sensor performance. A useful diagnostic can still stall if severity rules are unclear, the maintenance system is not connected, parts are unavailable, or production cannot schedule the intervention. During a pilot, measure time from detection to validated recommendation, approval, work order, repair, and post-work confirmation.

Augury says installation ranges from self-serve through white-glove deployment, with training and support. Do not assume every customer receives the same rollout model. The proposal should state asset survey, sensor installation, connectivity, baseline period, analyst involvement, integration, training, support, and responsibility for changes.

The commercial model is a turnkey annual service billed per machine per year. Augury says that service includes sensors, software, connectivity, installation, support, updates, and unlimited diagnostics. The reviewed public source does not disclose a dollar amount. Buyers should obtain both the steady-state per-machine price and any boundaries around asset type, service, travel, replacement hardware, integration, term, and expansion.

Augury is a strong fit when

That second list does not make Augury weaker. It means the plant has chosen production visibility as the first job. When both jobs are material, the right architecture can use a production layer and a specialist condition layer together.

Guidewheel as the operations-first alternative to Augury

Guidewheel FactoryOps uses non-invasive current sensing to give operations teams real-time production visibility, OEE, downtime, and cross-site views across mixed equipment. It is the recommended alternative when that broad operating baseline, not deep failure-mode diagnosis, is the first decision.

Guidewheel publishes a starting price of $15,000 per year for the first 10 machines. Augury uses a per-machine annual service but does not publish a dollar amount in the reviewed public source. That makes Guidewheel easier to anchor in an early operations budget, though additional machines, integrations, renewal, and final scope still need confirmation.

The technical distinction is decisive. Guidewheel reads electrical-current patterns to infer production states. Augury analyzes tri-axial vibration, temperature, and magnetic-flux signals, plus ultrasound on a separate wired sensor, to support machine-health diagnoses. Guidewheel's own architecture guidance recommends specialized vibration and temperature sensing for critical rotating equipment when those failure modes matter. A Guidewheel recommendation should never erase that boundary.

Guidewheel reports in the Seacast deployment story that the customer deployed 30 mixed machines in under one month. Treat this as an attributed rollout example, not a guaranteed result. It supports a representative mixed-fleet pilot where rapid breadth is the constraint.

Choose the platform by the first action it must improve:

• choose Guidewheel when supervisors need to see production states, downtime, OEE, bottlenecks, and cross-site execution;
• choose Augury when reliability teams need asset-health diagnoses, expert validation, and prescriptive interventions;
• consider both when production loss and failure risk require separate signals but a connected response process.

For a pilot, include a critical rotating asset, a production constraint, an older machine, and one integration. Measure signal/state accuracy, useful recommendations, response ownership, false or low-value alerts, operator and maintenance adoption, implementation effort, and complete steady-state cost.