REVOLUTIONIZING AVIATION WITH AI-DRIVEN SOLUTIONS

WELCOME TO THE REVOLUTION
GA Telesis, a global leader in commercial aviation, is revolutionizing the industry through its newest division, the Digital Innovation Group (DIG). With two specialized areas of focus, DIG develops cutting-edge solutions for both the company and the broader aviation sector, supporting GA Telesis’ vision of intelligently defining the future of aviation.
THE SCIENCE
The DIG Data Science function is committed to pioneering algorithmic research, leveraging cutting-edge AI/ ML models to empower organizations in making data-driven decisions and setting the course for long-term success.
DIG Data Science Mantra:
“If you cant measure it, you can’t manage it.” – Peter Drucker


THE TECHNOLOGY
The DIG Technology function specializes in developing patentable, state-of-the-art custom software and IoT solutions for the commercial aviation industry. DIG leverages cutting-edge AI/ML, blockchain, and Web 3.0 technologies to create innovative products that drive the sector forward.
DIG Technology Mantra:
“What got you here, won’t get you there.” – Marshall Goldsmith
WHAT DOES DIG DO?
PROCUREMENT MANAGEMENT
Intelligent automation of aerospace parts purchasing, supplier relationships, and inventory optimization to ensure cost-effective supply chain operations.
FRAUD PREVENTATION
AI-powered systems to authenticate aircraft parts, verify documentation, and prevent counterfeit components from entering the supply chain.


MODELING
Advanced data-driven simulations to predict parts demand, optimize inventory levels, and forecast market trends across the aviation ecosystem.
AUTO ORDER MANAGEMENT
Dynamic pricing algorithms that analyze market conditions, competitor data, and demand patterns to maintain optimal pricing strategies.
TIERING
Strategic categorization of parts, suppliers, and customers to optimize inventory investment and service levels across different priority segments.
ENGINEERING & RELIABILITY
Data-driven analysis of component performance and failure patterns to enhance aircraft reliability and maintenance planning.


INTERCHANGEABILITY MANAGEMENT
Digital system tracking approved alternative parts and their compatibility across different aircraft types and configurations.
PRICE CONTROL
Smart automated system that triggers parts orders based on inventory levels, demand forecasts, and real-time fleet requirements.
FLIGHT OPERATIONS
Real-time monitoring and optimization of aircraft performance, fuel efficiency, and maintenance scheduling to maximize fleet utilization.
WARRANTY MANAGEMENT
Automated tracking and processing of warranty claims, repairs, and replacements to ensure maximum cost recovery and compliance.

DIG DATA SCIENCE
CAPABILITIES
GA Telesis data science solutions provide strategic insights that drive growth and optimize operations.
AI-DRIVEN PROCESS
DIG deploys AI to automate routine tasks, optimize operations, and make smarter decisions faster.
REAL-TIME ANALYTICS
DIG ensures data is processed in real-time, enabling immediate insights and actions.
DATA INTEGRATION
DIG provides capability to process data from diverse sources, including structured and unstructured data, ensuring comprehensive insights across the entire business ecosystem.
API INTEGRATION
DIG can make sure solutions easily integrate with existing systems and workflows ensuring seamless data flow and minimizing disruption to current processes.
CLOUD-BASED SOLUTIONS
DIG develops cloud-based solutions, offering scalability, flexibility, and high availability.


THE DATA SCIENCE TEAM
EXPERTISE ACROSS DOMAINS
DIG team comprises PhD-level experts in finance, physics, machine learning, statistics, and computer science. Additionally, this team has access to over 200 data scientist via a third part firm as well as a National Science Foundation (NSF) funded AI research lab (one of only 15 in the US) consisting of several PhDs in artificial intelligence and machine learning.
EXPERTISE THAT DRIVES INNOVATION
DIG Team excels in leveraging latest machine learning, artificial intelligence and statistical modeling techniques to predict trends, optimize strategies, . With proficiency in Python, R, SQL, various data science libraries, and state-of-the art visualization tools, DIG ensures not only analytical depth, and accuracy of analyses, bur also operational impact.
THE TECHNOLOGY
THE CAPABILITIES
The DIG Technology function specializes in developing patentable, state-of-the-art custom software and IoT solutions. DIG leverages AI/ML, blockchain, and Web 3.0 technologies to drive the aviation industry forward.
BLOCKCHAIN AND WEB 3.0 SOLUTIONS FOR PARTS TRACKING
The DIG Technology Team’s first project will develop a private blockchain to track aviation parts using digital twins. This technology will integrate with GA Telesis’ operations via APIs and share part information with external partners in real-time through smart contracts.
LOT SOLUTIONS FOR QUALITY AND AUTHENTICITY CONTROL
The DIG Technology Team will integrate high-precision image acquisition devices into GA Telesis’ current quality control processes. They will also develop state-of-the-art deep learning algorithms capable of automating important quality control tasks using 2D and 3D image capture and processing.
DEEP LEARNING SOLUTIONS FOR INVENTORY MANAGEMENT
The DIG Technology Team will use unmanned ground vehicles and/or drones to automate inventory counting processes. This automation will be achieved through state-of-the-art video processing algorithms that utilize deep learning.


THE TECHNOLOGY TEAM
The DIG Technology Team brings together exceptional developers who excel in cutting-edge blockchain, deep learning, and IoT solutions. Through rigorous development standards and agile methodologies, we consistently deliver scalable, future-proof systems that drive innovation and create tangible business value.
WATCH AND LEARN
Informative videos about the capabilities and prograssion of DIG
WELCOME TO GA TELESIS
Intelligently defining the future of aviation
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LET’S TALK TECH
Contact Us
1850 NW 49th Street Fort Lauderdale FL 33309
+1-954-676-3111
info@dig.aero