Innovation Team

The INNOQ

Our expert team of generative AI specialists at innoQ brings together experienced professionals with extensive experience in architecture, data engineering, machine learning, and AI for enterprises. With in-depth expertise in natural language processing (NLP) and in implementing production-ready generative AI systems, we deliver innovative solutions that are tailored exactly to your business requirements.

Why INNOQ?

Our consultants have been advising SMEs and corporations for more than 20 years and implementing IT systems of all sizes. We draw our experience from many years of practical experience — in software architecture and development, platform operation and infrastructures, and digital product development. We don't see technology as an end in itself, but as an enabler for solving real problems.

  • Before we give advice, let's listen.
  • Before we convince you, let's see for ourselves.
  • The result: technology that moves everyone forward.
Ein voller Vortragssaal mit Personen, die einer Sprecherin am Podium zuhören.

Our team consists of:

  • Strategic AI advisorn, which integrate sustainable data and AI strategies into existing business processes
  • Software and data engineerswho specialize in designing, developing and deploying machine learning models in production systems
  • ML engineers with expertise in both classic machine learning and cutting-edge generative AI technologies
  • data architects with experience in building decentralized data infrastructures and implementing data mesh
  • specialists for digital transformation, who have extensive experience in how digital transformation is implemented using AI

As your strategic partner for AI transformation based in Switzerland, we combine technical excellence with practical business expertise. Through our partnership with GPT-Trainer, we're not just developing AI for its own sake — we create value by developing AI-driven products that automate and improve business processes, optimize customer service, and increase employee productivity. With our comprehensive approach from strategy to implementation and international collaboration, we are uniquely positioned to exploit the full potential of generative AI for your business.

We are pioneers in introducing AI into companies and developing contextual generative AI solutions and retrieval augmented generation (RAG) systems that change the way companies use their data. Our consultants have successfully implemented AI solutions in various industries, from predictive maintenance in manufacturing to regulatory compliance in the financial services sector.

Talk to us about the following topics

  • AI-supported legacy modernization in software engineering
  • Local inference from LLMs for digital sovereignty and use of own models
  • Multi-agent AI concepts
  • Design, design and implement your development department in the changing face of AI
  • Product improvements through AI that are worthwhile and offer real added value
  • Improving your company's internal processes through AI
image of an expert consultant for blockchain and cryptocurrency [headshot]
Christopher
Schmidt
AI Engineer

As a senior consultant with over 25 years of experience as a software architect, Christopher is a sought-after speaker and consultant for AI transformation and cloud technologies, with a particular focus on AI engineering and cloud migration

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[headshot] image of customer (for a financial advisor)
David
Benotmane
AI solution architect

As a translator between data, design and development, David Benotmane designs new AI business models and builds smart, technical solutions that help companies create real added value from their data and processes.
He develops scalable AI solutions from vision to production, bridging the gap between technology and business. His expertise includes conversational AI, MLOps, data strategies, and agile transformation — always with the goal of turning complex AI technologies into successful business strategies.

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[headshot] image of customer (for a real estate tech)
Saikrishna
Thonduru
AI Engineer

As an AI engineer at innoQ Research GmbH, Sai specializes in developing scalable AI solutions for data-driven decisions. It combines modern methods from deep learning and computer vision with the latest technology to independently master complex challenges.

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Our primers

Whether data mesh or MLOps — our primers provide a quick introduction to data and AI topics.

Data Mesh Architecture

Data mesh is a socio-technical approach that enables development teams to carry out data analyses autonomously. In this primer, we explain data mesh from an engineering perspective.

MLOps

In this primer, we explain the basics and principles of MLOps with the aim of teaching the MLOps processes from an engineering perspective.

To the primer

Retrieval-Augmented Generation (RAG)

RAG makes it possible to tap into the capabilities of large language models for in-house knowledge. Our new primer provides software architects and developers with a well-founded quick start.

Magazine

Technical articles, podcasts, lectures on AI can be found here

To the magazine