The art of keeping things running

A maintenance calendar has an appealing quality: it looks like a decision somebody has already made. Inspect this component in June. Replace that one after so many hours. The dates are tidy. The machine may have other ideas. Andromeda Systems Incorporated has built its business around investigating that gap between a schedule and the equipment it is supposed to protect.

The company’s specialty is supportability, a word with very little cocktail-party appeal and considerable practical value. It means considering what a machine will require throughout its working life: repairs, spares, people, information, and money. Buying the equipment is the opening transaction. ASI concerns itself with the long relationship that follows.

The calendar is a hypothesis

ASI’s explanation of reliability-centered maintenance begins with an awkward discovery from aviation research: component failures did not always track age, and periodic overhauls could sometimes reduce reliability. Taking something apart was not automatically helpful. Maintenance needed a better justification than the passage of time.

The company applies a process aligned with SAE JA1011 and the Navy’s maintenance-analysis approach. Engineers identify failure modes, examine consequences, and select appropriate responses. A breakdown that compromises safety demands a different decision from one with modest operational consequences. The point is to give each maintenance task a reason to exist.

Its RCM Analyzer makes those decisions reviewable. Teams can compare strategies by cost and downtime, retain supporting data, package tasks into plans, and track revisions. This is valuable institutional memory: the next engineer can examine the reasoning behind a task instead of inheriting an unexplained instruction.

First, understand the machine

Founded by John Kobelski and John Henson in 2005, ASI earned an early manufacturer engagement with Bell Helicopter in 2007. Its history also records work on Army hospital facilities. The range matters. Supportability expertise can travel between sectors because the recurring questions concern function, failure, repair, and consequences.

That expertise includes actual measurement. ASI offers vibration analysis, thermal imaging, ultrasonic inspection, and oil analysis, among other predictive-maintenance services. These techniques look for evidence of developing trouble. An alert becomes useful when it arrives early enough for somebody to arrange the repair, obtain the part, and avoid losing the machine’s function.

OptiAM carries the decisions into daily operations. Its modules cover equipment records, work orders, inventory, task instructions, and documentation. OptiAM GO puts information on mobile devices and supports offline work. For a technician away from a dependable connection, the distinction is practical: the instruction can travel to the equipment.

ASI’s positioning sits between engineering consultancy and maintenance-software vendor. A conventional software shortlist might start with work orders and dashboards. ASI invites buyers to examine the analysis underneath them. That makes the offer especially relevant when maintenance choices require an engineering explanation as well as an administrative record.

The product family extends beyond work execution. Supportability Analyzer handles logistics product data, including reliability information, failure effects, maintenance tasks, and provisioning documentation. For a program assembling its support system, these are connected decisions. The maintenance plan affects the spares requirement; the equipment configuration affects which instructions apply. Keeping the relationships visible is part of the job.

ASI expanded its analytical toolkit by acquiring Tools for Decision in November 2022. The transaction included U.S. and UK operations and a partial stake in the African business. The resulting TFD Global brand combines software with consultancy and training. The acquisition brought logistics decision-support expertise into a company already working across maintenance and engineering.

There is a people question here, too. ASI reported national engineering workplace recognition in July 2026, based on employee feedback. For a business selling technical judgment, retaining people who understand the equipment is a practical concern for customers as well as management.

The brewery makes the point

Consider the unlikely companion to military aviation in ASI’s portfolio: brewing. HoptiAM is its brewing-focused maintenance product. A canning line has none of an aircraft’s glamour, but an unavailable line still interrupts an operation. The common concern is having equipment ready when the business needs it.

“In short, this program will save us money.”L.J. Govoni, Big Storm Brewing
Customer testimonial published by ASI

Another testimonial, attributed by ASI to a workboat fleet maintenance director, describes a telling change. Maintenance plans had been updated annually through locally maintained documents and distributed hard copies. With OptiAM, changes could reach users within minutes. The friction was in moving an improved instruction to everyone who needed it.

The Republic of Korea Navy supplies a more specific implementation example. ASI announced OptiAM selection for MH-60R helicopters in January 2024, following a P-8A implementation completed in 2023. The announced work included hosting, configuration, implementation, and on-site training. Even when the product is software, putting it to work involves people.

The numbers require careful handling

AGILE JV, ASI’s venture with LTM INC, announced that award for fleet logistics and engineering support. It belongs to the joint venture; it should not be read as ASI’s annual revenue. Separately, ASI announced a $69.1 million NAVAIR contract in May 2025 for enterprise reliability-centered maintenance analysis and support.

Commercial buyers encounter a different cost conversation. OptiAM’s Asset Manager page says pricing depends mainly on assets and facilities, with the operation scoped during a demo. Deployment can be SaaS or on the customer’s infrastructure. The business combines software with engineering, implementation, and training rather than treating installation as the finish line.

Bring your asset list

The product’s own FAQ offers useful buying discipline. New custom fields require development. Warranty details are stored, but proactive expiry alerts are not currently provided. The largest production registry it describes is around 5,500 assets. Buyers with larger estates or particular workflow requirements have concrete questions to bring to the demonstration.

AIPS, ASI’s machine-learning offering, adds predictive analysis to the portfolio. Yet the company’s explanation includes decidedly ordinary work: structuring the problem, cleaning data, and identifying relevant features. The practical inference is that predictions need trustworthy records and a team able to act. A model cannot arrange a repair by itself.

The useful idea to copy is small enough to start tomorrow. Pick a critical asset. Identify its failure modes. Ask which current tasks address them, record the reasons, and review the results. ASI sells tools and expertise for making that discipline repeatable. The calendar still has a job. Somebody should be able to explain its appointments.