About
zeroG is an aviation-focused AI and data science firm headquartered in Frankfurt, Germany, with deep roots in Lufthansa's operational expertise. Since 2015, their team of 85+ data experts has partnered with leading airlines to unlock the full potential of aviation data through machine learning, computer vision, natural language processing, and conversational AI. Their portfolio spans three delivery models: bespoke consulting services, tailored AI solutions, and unified data products that integrate seamlessly with existing airline IT infrastructure. Flagship offerings include Infinity, a scalable customer demand prediction engine for dynamic revenue optimization; empathetic AI chatbots for multi-channel customer support; machine learning models for forecasting unplanned crew absences; drone-powered computer vision for aircraft exterior inspection; and next-generation carry-on baggage detection systems. zeroG's human-centered, cross-functional approach moves projects from idea to prototype rapidly, consistently delivering an average of +3% business uplift and -10% cost reduction per engagement. Their solutions have collectively impacted over 186 million passengers annually. Designed exclusively for airline and aviation enterprises, zeroG is the partner of choice for carriers seeking to accelerate their data-driven transformation without building costly in-house AI capabilities from scratch. Their combination of aviation domain knowledge and cutting-edge data science makes them uniquely positioned to solve industry-wide challenges at scale.
Key Features
- Customer Demand Prediction (Infinity): A scalable, customizable ML engine that forecasts passenger demand under dynamic market conditions, enabling airlines to optimize pricing and capacity for measurable revenue uplift.
- Conversational AI for Customer Support: Empathetic, context-aware AI chatbots that go beyond web-based limitations to deliver personalized, multi-channel customer interactions and elevated passenger engagement.
- Computer Vision Solutions: Advanced vision models powering drone-based aircraft exterior inspection, carry-on baggage detection, and ML-driven engine inspection to improve safety and operational efficiency.
- Crew Absence & Operational Forecasting: Machine learning models that predict unplanned crew absences and operational disruptions, helping airlines proactively manage workforce planning and reduce costs.
- Cargo & Digital Sales Intelligence: AI-powered insights that optimize cargo operations and digital sales strategies, identifying new revenue opportunities and improving operational efficiencies across the supply chain.
Use Cases
- Airlines optimizing seat pricing and capacity planning using AI-powered customer demand prediction to increase revenue under dynamic market conditions.
- Carriers deploying empathetic AI chatbots across web and mobile channels to handle passenger inquiries, reduce support costs, and improve customer satisfaction scores.
- Maintenance and operations teams using computer vision and drone technology to automate aircraft exterior inspections, reducing turnaround time and improving safety compliance.
- Airline workforce planners leveraging machine learning models to forecast and proactively manage unplanned crew absences, minimizing flight disruptions and associated costs.
- Cargo divisions applying digital sales intelligence tools to identify new revenue opportunities, optimize cargo capacity utilization, and streamline logistics operations.
Pros
- Deep Aviation Domain Expertise: With roots in Lufthansa and nearly a decade of airline-focused AI work, zeroG brings unmatched domain knowledge that generic AI consultancies cannot replicate.
- Proven, Measurable Business Impact: Every engagement targets tangible KPIs, with an average of +3% business uplift and -10% cost reduction per project across 186+ million passengers affected annually.
- Flexible Delivery Models: Airlines can choose bespoke services, tailored solutions, or ready-to-integrate unified products depending on their maturity level and IT landscape, reducing time-to-value.
Cons
- Enterprise-Only Focus: zeroG's solutions are designed exclusively for large airlines and aviation enterprises; smaller regional carriers or startups may find the scope and cost prohibitive.
- Custom Engagement Required: There is no self-serve or off-the-shelf SaaS product — every deployment involves scoping, consultation, and integration work, which lengthens procurement cycles.
- Limited Public Pricing Transparency: As a B2B services and solutions firm, pricing is not publicly disclosed and requires direct engagement, making budget estimation difficult upfront.
Frequently Asked Questions
What industries does zeroG serve?
zeroG specializes exclusively in the aviation industry, working with airlines and aviation enterprises to build AI, machine learning, and data science solutions tailored to the unique challenges of air travel operations.
What types of AI solutions does zeroG offer?
zeroG offers a broad portfolio including customer demand prediction, conversational AI chatbots, computer vision for baggage and aircraft inspection, crew absence forecasting, cargo sales intelligence, and drone-based exterior inspection tools.
How does zeroG integrate with existing airline IT systems?
zeroG's products and solutions are designed to integrate seamlessly with existing airline IT infrastructure, requiring minimal customization. Their teams assess each airline's specific IT setup and tailor the deployment accordingly.
How long has zeroG been operating and what is their track record?
zeroG has been building AI and data solutions for leading airlines since 2015. Their solutions touch over 186 million passengers annually and consistently deliver an average of +3% business uplift and -10% cost reduction per project.
How do I get started with zeroG?
You can reach zeroG directly via their website contact form or by emailing [email protected]. Their team will work with you to understand your airline's current data maturity and identify the right service or product fit.
