SemantiSys AI
Dynamic Regulatory and Airworthiness Synchronization
MRO organizations struggle with the constant flux of OEM Manual Revisions, Service Bulletins, and Airworthiness Directives. SemantiSys automatically synchronizes these disparate data streams with active work packages. We eliminate the lag between a data update and the technician’s wrench, ensuring every task is performed to the latest approved technical standard.
Context-Aware Filtering
SemantiSys filters thousands of pages of documentation to present only what is effective for the specific engine serial number on the bench. We remove the noise, presenting only the authorized specifications for that asset’s modification status.
Automated Asset Knowledge Onboarding
SemantiSys automatically synchronizes updated OEM data with your active work packages. We eliminate the lag between a manual revision and the technician’s wrench, ensuring every task is performed to the latest legal standard.
Aerospace Grade AI Makes Trustworthy Decisions
SemantiSys is a neuro‑symbolic AI platform that uses governed ontologies and rules to deliver transparent, traceable decisions. In practice, that means we don’t just predict like a frontier model does; SemantiSys models how aircraft parts, sensors, and maintenance procedures relate, and validates outputs against formal constraints so engineering teams can review, explain, and trust every automated action.
Your Experts are Retiring. Their Knowledge Shouldn’t leave too.
Tribal knowledge is the “secret sauce” of a safe hangar, but it is disappearing as senior technicians reach retirement age. When they leave, their intuition and decades of experience walk out the door.
Capture expert know-how into repeatable guidance
SemantiSys transforms the non-linear intuition of senior experts into a protected logic layer. We apply heuristic synthesis to technical records, resolving the Experience Gap by validating hangar-floor data against high-fidelity compliance models that deterministic ERPs cannot support.
Detect conflicting or impossible maintenance data
We manage the inherent volatility of aviation data—including cycle counts and shifting AD/SB mandates—through a proprietary correlation engine. By identifying “impossible” data strings and non-deterministic anomalies, SemantiSys provides an immutable truth layer that standard MRO databases are not architected to provide.
Guided Parts Picking and Disposition
Technicians often pick the wrong part or the wrong bin, then lose time fixing it, because the parts on the trolley do not match what the task requires. SemantiSys Look to Scan links active work packages and engines to what the technician sees, scans, and confirms at the shelf, so each pick is checked immediately. You narrow the gap between the system and the workbench, and more work is done right the first time instead of stopped for corrections later.
Accuracy by design
SemantiSys Look to Scan keeps each pick linked to the selected engine, eliminating errors at the picking stage and reducing picking time.
Keep the shop floor and the system synchronized
Drift is when the task in your system and the just-done maintenance task no longer match: wrong part, wrong bin, step done but not recorded, or someone working from an old note. SemantiSys synchronizes picks and steps with the active job in the system, so work follows the current definition instead of an old printout or recall alone.
AIXI
AIXI creates AI-enabled solutions that improve reliability and asset uptime for the aviation industry.
Our industry-specific language model (ILMs) and AI implementations scan, recognize, assimilate and aggregate an airline’s foundational MRO data to improve safety and reduce delays.
Autocoder
AIXI’s ATA AutoCoder is optimized for speed and accuracy. Enabled by AIXI’s ILM and and proprietary neural network, the ATA AutoCoder assigns five codes – two ATA and three English-based – to every maintenance log in real time and with 95% accuracy. It codes all historic records creating the accurate, consistent data foundation needed to empower technicians and optimize MRO procedures.
AIXI’s ATA AutoCoder recognizes and normalizes MRO data.
- Assimilates, clarifies, and categorizes MRO data
- Delivers 95% accuracy in real-time
- Identifies maintenance fix probabilities
- Integrates with other maintenance technologies
- Offers operational savings and reallocation of headcount
- Reduces delays
- Increases safety
Accurate data is essential. Most airlines are not addressing the underling reliability issues with their core data. AIXI’s ATA AutoCoder cleans, standardizes, and assimilates your data and to provide actionable maintenance information.
This is the first step to resolving complicated sensor-to-fix challenges as well as larger maintenance and business questions that rely on ATA code data.
The ATA AutoCoder is faster than any other ATA coding method available. A simple-to-integrate tool, it stands to save airlines millions each year by empowering technicians with accurate, actionable data that keeps planes flying.
Prescriptive Maintenance
Uncover answers
Our prescriptive maintenance tool influence go/no-go decisions based on ATA codes and an airline’s foundational data. Our proprietary AI tools provide workable solutions alongside the fix rate’s probability. It’s a game-changer for teams responsible for safety and keeping planes on schedule.
Today, technicians employ a variety of semi-reliable processes to handle fault/fix challenges.
Using manuals, their experience, and even an educated hunch, many say (in both jest and truth) that they do precision guesswork based on unreliable data provided from questionable knowledge sources.
AIXI’s AI-enabled tools offers a better way.
Our Prescriptive Maintenance Tools provide:
- Aircraft delay probabilities and timeframes
- Alerts to recurrent issues with specific aircraft
- Analysis of how a problem was historically fixed
- Fix success rates
- MEL procedure recommendations
- Trends from the past 7, 14, or 30 days, plus what was/was not done.
AIXI’s Answers Show What and How
With an aging maintenance workforce that’s retiring from the field, airlines can’t rely on teammates to effectively pass down experience. This creates a knowledge vacuum that directly impacts line maintenance decisions.
AIXI’s Prescriptive Maintenance Tools answer:
- What is the issue?
- Will it cause a delay and how long?
- Is this a chronic issue for this aircraft?
- How have we fixed this in the past?
- How often did that fix work?
- What MEL procedure correlates?
Fueled with information that can impact safety or delays, AIXI’s Prescriptive Maintenance tools guide fast, effective action.