9 Best Aircraft Maintenance Tracking Software You Need to Check Out

The AI moment for MRO software

Aircraft maintenance, repair, and overhaul (MRO) is under rising pressure—financially, operationally, and technologically. Airlines are facing steep increases in costs: in the U.S. alone, fleet maintenance costs rose 15% over the past five years (McKinsey: Aircraft MRO 2.0: The Digital Revolution).At the same time, delays due to technical issues are up 14%, compounding margin pressure in a volatile industry.

AI-powered MRO software is becoming a mainstream pivot for the industry, with Delta, Luthfansa, and many other large carriers are leading the way. These companies are using AI for predictive maintenance, anomaly detection, automated inventory detection, and other applications, leading to reduced error, minimal tool and aircraft downtime, and extended aircraft life cycles.

This review article compares the top MRO software solutions on the market, including multi-industry systems and those purpose-built for aerospace and defense. We’ll also explore AI integration among these software options. Some solutions are built with AI at their foundation, whereas others are slowly adding on AI functionality for better forecasting and records management.

Whether you're a fleet operator, MRO service provider, or airline CIO, the goal is simple: find software that doesn’t just digitize your records but transforms the way you manage reliability, compliance, and profitability.

What airlines and MROs really need from modern software

Maintenance operations are evolving, with needs changing at a far greater pace than the software that workers must rely on. Many still use legacy platforms that rely on paper-based processes and reactive maintenance models (“fix it when it breaks”). Employees data gather and store data in separate software systems across different business units.

With this siloed approach using legacy software, aviation companies deal with increased compliance risks, delays, and AoG (Aircraft on Ground) events.

Here are some of the capabilities that aviation leaders commonly need in their MRO tech stacks:

In short, the right MRO platform should go well beyond task management to provide visibility, intelligence, and interoperability, without sacrificing the end user experience.

Comparing the top MRO software platforms

We evaluated nine leading aviation maintenance software platforms, with a particular emphasis on usability, AI capabilities, predictive maintenance, parts procurement, scalability, and compliance support.

The review hones in on capabilities that can make or break your MRO tech stack:

Our five-star scale rates on those metrics:

With these frameworks in mind, here’s a look at our top nine choices for best aircraft maintenance tracking software.

1. ePlaneAI

AI maturity: ★★★★★
Operational versatility: ★★★★☆
Overall score: ★★★★☆ – End-to-end decision intelligence platform built for predictive maintenance and optimized aviation procurement.

ePlaneAI is an AI-first aviation software company built specifically to embed intelligent forecasting and automation into airline operations. Known for its natural language (NL) reporting and predictive maintenance models, ePlaneAI delivers highly tailored insights across fleet and supply chains. Customers appreciate its deep domain modeling and seamless ERP and Electronic Flight Bag (EFB) integration.

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2. Lufthansa Technik Aviatar

AI maturity: ★★★☆☆
Operational versatility: ★★★★☆
Overall score: ★★★★☆ – Strong enterprise ecosystem for Lufthansa-aligned carriers with growing AI capabilities.

Aviatar is Lufthansa Technik’s digital operations platform, offering modular tools for maintenance planning and fleet management. Its Technical Repetitives Examination (TRE) tool is its first major AI-driven innovation, helping airlines identify recurring issues in technical logbooks. The platform is praised for its reliability and integration options, especially for Airbus and Boeing operators.

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3. Ramco Aviation

AI maturity: ★★★☆☆
Operational versatility: ★★★★☆
Overall score: ★★★★☆ – Feature-rich, mobile-first platform with a focus on automation and in-memory optimization.

Ramco Aviation’s 6.0 suite is a mobile-ready, paperless MRO platform used by military, defense, and commercial operators. Known for its automation-first philosophy, it emphasizes task planning, predictive insights, and embedded intelligence for MRO operations. Users value its broad scope and flexibility across fleet types.

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4. Veryon (formerly Flightdocs + Rusada)

AI maturity: ★☆☆☆☆
Operational versatility: ★★★★☆
Overall score: ★★★☆☆ – Reliable all-in-one compliance and tracking platform for FAA Parts 91 and 135 ops and regionals.

Veryon is a rebrand of Flightdocs and Rusada’s systems into one streamlined interface. Designed for simplicity and uptime, Veryon supports electronic logbooks, e-signatures, and airworthiness directive (AD) and service bulletin (SB) monitoring.

It offers 24/7 support and a mobile app, but has limited AI or predictive capabilities.

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5. Traxxall

AI maturity: ★★☆☆☆
Operational versatility: ★★★★☆
Overall score: ★★★☆☆ – Peer-supported and highly customizable, Traxxall balances flexibility with analyst-driven maintenance insights.

Traxxall positions itself as a modern, analyst-backed alternative to legacy tracking platforms. Used by operators across 60+ countries, the software appeals to teams who prioritize control over automation. It focuses on customization, human support, data ownership, value transparency, and modularity.

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6. Quantum MX

AI maturity: ★☆☆☆☆
Operational versatility: ★★★★☆
Overall score: ★★★☆☆ – Intuitive, browser-based tool ideal for A&P shops and repair stations that value simplicity and cost.

Quantum MX by FLY Online Tools is purpose-built for small to midsize airframe and powerplant (A&P) shops. It’s fast, cloud-based, and designed to work across all browsers and mobile devices. Features like FAA form generation, QuickBooks integration, and work order tracking are well executed, but Quantum MX’s AI features are minimal, and it’s not intended for enterprise-scale deployments.

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7. EBIS 5

AI maturity: ★☆☆☆☆
Operational versatility: ★★★★☆
Overall score: ★★★☆☆ – Built from the shop floor up, EBIS wins on technician usability and customizable workflows.

EBIS is designed with technicians in mind, offering Kanban boards, mobile uploads, and responsive interfaces. With QuickBooks integration and scalable deployment, it’s strong for FAA Part 145 repair stations seeking configurability without complexity. It lacks AI or forecasting tools, but users praise its task efficiency and customer support.

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8. WinAir

AI maturity: ★☆☆☆☆
Operational versatility: ★★★★☆
Overall score: ★★☆☆☆ – A stable, legacy platform trusted across helicopters, charters, and military fleets worldwide.

With over 9,000 aircraft managed, WinAir has a long history of providing MRO software to operators in 30+ countries. Their Version 7 (fully deployed in 2021) improves tracking, compliance, and inventory management, with solid service offerings and global support. However, its UI is dated, and it lacks AI or predictive modules found in more modern tools.

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9. CAMP Systems

AI maturity: ★★☆☆☆
Operational versatility: ★★★★☆
Overall score: ★★★☆☆
Overall fit: Best for operators prioritizing resale value, regulatory trust, and platform stability over cutting-edge features.

CAMP Systems is one of the most widely adopted maintenance tracking platforms in aviation, with over 50,000 active monthly users. Recommended by nearly every major OEM, CAMP has become the de facto standard for aircraft compliance and airworthiness tracking. Its longevity, robust analyst support, and integration with engine health monitoring give it a significant foothold in the market.

CAMP also shines in reliability and resale value, as it’s known to boost asset value due to its credibility among brokers and buyers. However, the platform has been slow to modernize. While stable and trusted, it lacks the modern UI, automation, and AI intelligence now offered by newer platforms.

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From reactive to predictive: Why AI maturity matters

Most legacy MRO software was built to document what already happened, such as compliance checklists, logbooks, and parts usage. That’s changing. Today, the best systems must also predict, optimize, and recommend, constantly updating these outputs on the fly amid a continual influx of new data.

This shift from reactive to predictive is where AI maturity comes in. At its core, AI maturity reflects how deeply and effectively artificial intelligence is used in a software product, not just as a surface-level plugin or afterthought, but as an engine powering decisions and automation.

We looked at several markers to assess AI maturity:

Only a few platforms stand out as having true decision intelligence, with AI built into the product's DNA. For example:

What AI-first MRO looks like in practice

To see what AI-first MRO actually looks like, consider the experience of a mid-sized carrier using ePlaneAI to modernize its maintenance and procurement stack.

Before:

The airline’s legacy system could track overdue tasks and flag compliance gaps, but it lacked forward-looking visibility. Parts were often overstocked or unavailable when needed, or available in the wrong locations. Planners spent hours reconciling spreadsheets with vendor data. AOG events were frequent, expensive, and hard to anticipate.

After implementing ePlaneAI’s predictive engine:

With increased uptime, reduced waste, and more strategic planning, the airline significantly improved its bottom line and sped up decision-making flows.

This isn’t unique to ePlaneAI. We’re seeing glimpses of this AI-first future across the MRO tech landscape, although gains have been reaped somewhat unevenly depending on the solution used and deployment strategy.

Ultimately, platforms that combine technical depth, aviation-specific intelligence, and seamless UX for planners, engineers, and procurement leads alike.

Building smarter fleets, not just smarter software

The aviation industry has always been shaped by two forces: regulatory precision and operational pressure. In that context, it’s not enough that MRO software can better identify patterns, trends, and blind spots, as well as more accurately forecast future events, that will allow some organizations to flourish while others flounder.

The aviation MRO has become a purpose-built decision engine that marries AI, domain expertise, and real-time data to proactively solve your most pressing problems in aviation MRO and supply chain management. Tools with AI capabilities can deliver valuable incremental gains, while tools built on AI technology can deliver exponential growth.

If you're ready to stop patching together legacy tools and start building a smarter, more resilient foundation, ePlaneAI is built to lead that shift. Explore how our AI-first platform can help you optimize maintenance, procurement, and planning with ROI from day one. Request a demo today and see what a next-gen MRO system can do.