AI Shepherds GmbH

Logo AI Shepherds

AI Shepherds GmbH
Herzogstraße 115
80796 München
Deutschland
http://www.aishepherds.com

Francisco Martínez
Account Executive
Contact per mail

Back to map

Summary

AI Shepherds supports automotive companies in their AI development towards efficiency and differentiation through responsible artificial intelligence.

A company with digital DNA that is passionate about artificial intelligence. We have recognized the need to create a new value chain in the automotive industry. This should not only be significantly more sustainable, but also consistently aligned with the needs of people and society.

Profile

We develop and deliver innovative products and services. Our focus is on the automotive industry and mobility service providers. We concentrate on four key areas in order to build up in-depth expertise:

Vehicle development:
Machine learning can be used along the entire automotive development chain.

Vehicle manufacturing:
AI in manufacturing offers enormous potential due to its wide range of possible applications.

Smart quality:
Artificial intelligence plays a decisive role in quality automation.

New mobility:
Autonomous driving, connected vehicles and charging infrastructure require AI to reliably control complex systems.

Information

Project 1: Embedded neural network for indoor systems

  • From 30% accuracy (classical methods) to 96% with AI
  • Development of a neural network for an indoor function and deployment on a microcontroller
  • Focus: Model development, hardware optimization and embedded integration (details confidential)

Project 2: Computer vision for shape and quality inspection

  • PoC in progress, no reliable key figures yet
  • Development of a vision system for the recognition of geometries and OK/NOK classification of interior parts
  • Development of a robust image processing pipeline and predictive models

Project 3: GenAI platform for quality management

  • 68% faster creation and validation of 8D reports
  • Development of a GenAI product to support quality managers based on internal knowledge
  • Development of agentic workflows, retrieval systems and analysis functions

Project 4: Price prediction to accelerate the RfQ process

  • Price forecast in seconds with less than 10% deviation from previous offers
  • Development of a price forecasting function for faster processing of customer enquiries
  • Use of historical data for accurate forecasting models and informed decisions