Augury

Augury is a pioneer in Machine Health and Process Health, delivering AI-driven predictive and prescriptive insights that help manufacturers eliminate unplanned downtime, improve throughput and quality, and reduce waste and emissions across global operations. At its core is a full-stack platform that combines industrial-grade sensors with purpose-built AI trained on one of the world’s largest machine data libraries and guided by reliability and process experts to surface accurate, actionable diagnostics in real time. The solution continuously analyzes vibration, temperature, ultrasound, and magnetic field data across rotating assets—motors, pumps, compressors, gearboxes, and more—to predict failures early, prescribe corrective actions, and optimize maintenance schedules for maximum asset performance. Customers report rapid time-to-value and strong returns, with many achieving 5–20x ROI by avoiding downtime, extending equipment life, and improving energy efficiency and yield, supported by case studies citing multi-million-dollar savings and large-scale rollouts. Augury’s platform is designed for enterprise scalability, integrating into existing reliability workflows and software while providing turnkey delivery that includes sensors, connectivity, software, and ongoing expert services under a subscription model. Recent innovation includes Machine Health Ultra Low, which brings continuous AI monitoring to slow-rotating equipment down to 1 RPM—assets historically difficult to monitor—expanding coverage plant-wide and increasing reliability across complex environments. Beyond equipment reliability, Augury advances process optimization by pairing AI with process experts to improve line stability, reduce scrap, and lower energy and water consumption, aligning maintenance and production teams around shared performance and sustainability goals. The company emphasizes a hybrid intelligence approach—AI plus human expertise—to ensure high diagnostic accuracy, prescriptive guidance, and change management support that embeds predictive maintenance practices as a lasting operational culture. With a growing ecosystem and continued investment, including recent funding announcements and technology partnerships, Augury is consolidating its leadership in industrial AI and expanding end-to-end coverage through its Machine Health 360° strategy.

Augury’s competitive edge in the industrial AI and predictive maintenance market is rooted in a combination of proprietary technology, industry-leading data science, seamless deployment, and an unwavering focus on delivering customer outcomes. The company distinguishes itself primarily with its Machine Health platform, which fuses advanced sensors, high-frequency data capture, and sophisticated AI algorithms trained on an enormous and ever-expanding machine data library. This enables early and highly accurate detection of machine malfunctions—which traditional methods often fail to identify—across diverse environments, including ultra-low and high-RPM equipment. By integrating high-fidelity data from multiple sensory modalities such as vibration, temperature, ultrasound, and magnetics, Augury’s platform boasts diagnostic and predictive accuracy levels that set it apart from many competitors. A core differentiator is the hybrid intelligence approach—combining proprietary AI with ongoing support from remote machine health experts. This synergy ensures that Augury doesn’t just deliver data, but surfaces actionable insights and prescriptive recommendations, helping clients move beyond reactive maintenance models. These remote experts not only validate AI findings but also offer guidance tailored to each enterprise, building customer trust and supporting rapid returns on investment. Customers routinely report 5–20x ROI from reductions in unplanned downtime, increased asset reliability, and tangible savings; industry case studies highlight significant financial and operational wins for organizations like PepsiCo, DuPont, and Colgate-Palmolive, who have adopted Augury’s solution on a global scale

• Small Businesses (1-99)
• Mid Market (100-500)
• Enterprise (500+)