The neuland.ai Research Team: Innovation at the highest level for AI Made in Germany

Research as a Competitive Advantage

The development of leading AI technology requires more than just technical expertise; it demands a strong research foundation and a clear focus to tackle complex real-world challenges.

Many companies rely on external research partners, but neuland.ai takes a different approach: with its own research team embedded within the company’s solutions organization, neuland.ai differentiates itself clearly. This team enables practical innovations to be translated directly into products and applications, which is especially beneficial for German SMEs and large regulated companies.

A Unique Research Model for SMEs

neuland.ai is committed to developing AI "Made in Germany" and optimizing it specifically for the needs of German SMEs and large companies. Conducting in-house research is an extraordinary approach, especially for a relatively smaller company like neuland.ai.

The in-house research team ensures that technological sovereignty is reinforced and enables the development of solutions that are not only scalable but also reliable and secure in the long term. This is a crucial factor given the complex challenges that companies in highly regulated and knowledge-intensive industries must tackle today.

WestAI: A Testament to Success

An outstanding example of the competence and commitment of the research team is the recent access granted to the cluster infrastructure of RWTH Aachen University. neuland.ai was selected by the WestAI AI Service Center for the use of 10,000 hours of GPU computing on one of Europe’s most powerful academic high-performance computing infrastructures. Only about 20 percent of applicants receive this opportunity. The infrastructure allows the newly established research team to further develop and expand the core technology of neuland.ai and strengthen the company’s position.

The plan is to work on complex, large-scale research projects, including robust enterprise reasoning systems that securely support companies in automated decision-making processes. neuland.ai's success in this area highlights the importance of research and the technical expertise of the company.

"Access to WestAI is a true accolade and confirms our strategic direction. It gives us the opportunity to push the boundaries of artificial intelligence further and to develop solutions that significantly support our customers in their complex tasks."

Yunus Uyargil, CTO of neuland.ai.

The neuland.ai Research Team: Structure and Expertise

The research team is part of the solutions division, led by Dr.-Ing. Anoj Winston Gladius, who ensures that all new ideas from research and experimentation are directly integrated into robust applications and customized solutions.

Within this division, the applied research group, under the leadership of Dr. rer. nat. Qutub Syed Sha, forms a dedicated unit. The focus of this group is on cutting-edge topics such as AI security, interpretability, LLM systems, multimodality, and agent workflows, which are facilitated by large-scale computing power such as that provided by "WestAI."

The team consists of several PhD scientists and research engineers and collaborates closely with leading universities across Europe. Furthermore, more than 20 experienced AI engineers regularly dedicate part of their time to applied research, creating a continuous innovation cycle: research - development - application.

Benefits for Customers: Practical Research for Real Challenges

An in-house research department brings direct benefits to neuland.ai’s customers. The research at neuland.ai focuses on developing reliable solutions that meet the highest standards while being economically viable.

This is particularly important for German SMEs, as well as for companies in regulated industries, whose needs are specifically addressed by practical research involving robust and interpretable AI systems.

"Our work is consistently aligned with the real challenges faced by companies. By combining research, product development, and implementation, we actively accompany our customers on their path to becoming an AI-first organization. This practical research not only creates added value but also ensures that our customers benefit sustainably from the use of the neuland.ai HUB."

Yunus Uyargil, CTO of neuland.ai.

A Strong Team: Short Profiles

Dr.-Ing. Anoj Winston Gladius – Chief Solutions Officer

He holds a doctorate (Dr.-Ing.) in process engineering and automation with a focus on data-driven modeling as well as AI-based measurement and control systems. After several years as a management consultant in data analysis and financial services, he now heads the solutions area at neuland.ai. He combines research, engineering, and AI app development and is responsible for translating research results into enterprise-ready agents, applications, and end-to-end solutions on the neuland.ai HUB.

Dr. rer. nat. Qutub Syed Sha – Head of Applied Research

He holds a doctorate (Dr. rer. nat.) in computer science specializing in the robustness and security of AI. He has led several EU and Germany-funded research projects and has extensive expertise in vision-language models, multimodal systems, sparse autoencoders, RAG robustness, distributed training, and the development of open-source frameworks for explainability and resilience. He has successfully written and secured multiple competitive research proposals and has extensive experience in coordinating large research consortia and leading complex technical programs. At neuland.ai, he leads the applied research group, defines the research strategy, and expands the company's research network across Europe.

Dr. rer. pol. Tom Frank Reuscher – Product Manager / UX Research Lead

He holds a doctorate (Dr. rer. pol.) in economics and an M.Sc. in psychology with a background in designing complex adaptive systems and analyzing collaborative behavior using data-intensive methods. He brings extensive experience from interdisciplinary research projects and industry collaborations with leading technology partners. At neuland.ai, he works on designing and evaluating AI applications, develops analytical and logical components for enterprise applications, and integrates research methods into production-ready AI apps on the neuland.ai HUB.

Dr. Enkhtogtokh Tom – Research Scientist / Senior AI Developer

He holds a doctorate in artificial intelligence and has over ten years of experience in multimodal AI, deep learning, transformer architectures, and MLOps in academia and industry. He has led and implemented AI platforms and pipelines for document processing, image and speech applications, as well as large-scale training. At neuland.ai, he focuses on scalable training pipelines, document AI, and advanced GenAI methods that can be used as reliable components in enterprise solutions.

Islam Torky – Research Engineer (PhD)

He holds a master's degree in digital engineering and applied AI and has professional experience in data engineering and computer vision. At neuland.ai, he worked for over two years as an AI developer and later as AI Tech Lead, leading teams and executing numerous client projects, giving him deep insights into complex production systems. He now brings this practical know-how into the research area, focusing on agent-based AI systems, multimodal reasoning, retrieval optimization, and scalable LLM architectures. He has already implemented several research ideas into real solution projects. His work includes the design and implementation of multi-agent workflows, robust RAG systems, and evaluation frameworks for advanced reasoning tasks to transfer the latest research into reliable enterprise solutions.

Harshal Nandigramwar – Research Engineer (PhD)

He holds a master's degree in information technology and is pursuing a PhD on the topic of co-designing security, efficiency, and capabilities for intelligent systems. He has worked on the security of autonomous systems in several industrial and academic research labs and developed open-source frameworks, as well as published at leading conferences. At neuland.ai, he develops alternative architectures that are secure and efficient from the ground up while solving economically valuable tasks.

Conclusion: Research as a Future Security for SMEs

With its own research team, neuland.ai clearly distinguishes itself from many competitors that rely on external partnerships. Research is not only a driver of innovation but also a guarantee for the safe and sustainable design of AI applications tailored perfectly to the needs of German companies. Access to "WestAI" demonstrates how a clear research strategy leads to exceptional results and underscores neuland.ai’s position as a pioneer in practical and economically relevant AI development.