AMAI is a competent partner for AI integration
AI in automotive
Mastering mobility change: Using AI to improve efficiency and intelligence
The automotive sector is changing: Electrification, software development, a shortage of skilled workers and volatile supply chains require new efficiency and smarter work.
With AMAI, you can use artificial intelligence where it creates real change value, whether in manufacturing, in the product, in quality assurance or in the backend of connected vehicles.
Real Results
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Real Results
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More value from data: How AI is turning industry-wide challenges into opportunities
In the automotive sector, valuable data is generated every day in production, logistics, development, commissioning and use. With targeted use of AI, this data can be converted into strategic benefits: from automated quality assurance to new, data-based business models in vehicles.
This is how AI brings real added value in automotive:
- Visual quality inspection & anomaly detection
- Predicting maintenance requirements in production & vehicles
- Optimized supply chain management & risk analysis
- Natural language interfaces for vehicle displays/assistance systems
- Driver profile-based feature management (e.g. for OTA offers)
Real Results
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Real Results
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AI is our core business — Your production-ready solution is our goal
We bring experience from automotive projects and a deep understanding of the combination of mechanics, data and smart software. Our AI solutions not only present prototypes, but also run productively in sync with production, in the cloud or in the control unit.
Our customers benefit from:
- Explainable AI for safety-related processes
- GDPR-compliant implementation for OEMs & suppliers
- Integration with MES, SAP, PLM, connected platforms
- Production-ready development & sustainable transfer
Use cases: Examples of how you can use AI in your company
Collaborative robot
Cobots are flexible robots that learn by imitating the behavior of human workers. They provide a flexible method of automation.
Supply chain analysis
Forecast models identify risks due to delays, bottlenecks or border stoppages and dynamically suggest alternatives.
Predictive maintenance
To prevent malfunctions or poor maintenance from leading to expensive downtime, an algorithm predicts the risk of equipment failure and the need for maintenance.
production planning
With the help of a model, hidden patterns in historical sales data can be identified, such as seasonal demands, the behavior of subsidiaries, or buying behavior when introducing new products. This allows production to be planned accurately.
robotics
Automating manual processes in manufacturing or logistics using advanced robotics
Self-driving vehicles
From mining to manufacturing, self-driving vehicles increase operational efficiency and effectiveness
Sorting and reducing waste
AI can be used to minimize the waste of defect-free products and to ensure 100% waste of defective products. It prevents over-disposal of products.
In-vehicle voice processing
Conversational AI for drivers: NLP models recognize intentions and control on-board functions depending on the situation — even offline.
Inventory forecasting
Use machine learning to take your inventory and supply chain optimization to the next level
Energy demand forecast
Predicting energy demand and managing energy production.
Increasing output through pattern recognition
Identifying patterns (modelling patterns) between input and output of batches and analyzing performance parameters can significantly increase output.
Our process model: This is how we move your AI initiative forward.
As a pure AI consulting and development company, we focus exclusively on AI projects. Our four-stage process model offers you maximum orientation from strategy to production-ready implementation. You don't have to go through all steps: We start right where you are and reliably bring your AI initiative to the next level.
AI Strategy
Right from the start: Your AI Strategy with substance
Before individual use cases are developed and evaluated, we work with you to define your company's overall AI strategy. In doing so, we define goals, fields of action, governance objectives and long-term development directions. This creates clarity, focus and priorities and forms the basis for all next steps, from use case workshops to implementation.
AI Integration
From code to production systems: We're bringing AI to the streets
With proven components, proven infrastructure and close coordination with your team, we efficiently put your AI solution into productive use. Real transfer of knowledge is taking place continuously.
✔ No prototype without a plan.
✔ No project has no effect.
✔ No effort without results.
Case studies: Successfully implemented AI projects
Real Results
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Real Results
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AMAI — Your Guide to AI Expertise from Strategy to Code.
About AMAI: What sets us apart!
We are not a generalist with an AI connection — we are AI specialists with implementation experience. It is precisely this concentration that brings speed, quality and impact to our customers.
Jürgen Stumpp
Managing Director, AMAI GmbH
Tools & partners
Our areas of expertise
AI use case identification & evaluation
AI business cases & roadmaps
Model development & ML engineering
System integration & productive implementation
Productivity, Scaling & Enablement
Explainability & responsible AI
15
+
years of experience in AI development
50
+
realized AI projects
100
%
specializing in AI projects
