Bringing Cognitive Science to AI Development

We help organizations build AI systems that work in harmony with human thought processes. Our unique approach combines deep understanding of human cognition with extensive AI engineering experience.

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Our Approach

The most successful AI systems work in harmony with human thought processes. This doesn't happen by accident – it requires deep understanding of both cognitive science and AI engineering.

Think of it this way: Just as a well-designed tool feels like a natural extension of your hand, an AI system should feel like a natural extension of human cognitive capabilities. This only happens when we deeply understand both the tool and the human mind.

Understanding Cognition

We start with how humans process information, think, and use language, ensuring AI systems align with natural cognitive patterns.

Engineering Excellence

Our solutions combine state-of-the-art AI engineering with proven architectural patterns, creating systems that are both sophisticated and maintainable.

Our Services

AI Strategy Deep Dive | €1,500

Our flagship service helps you develop a comprehensive AI strategy that aligns with both your business goals and human cognitive patterns. Through this intensive engagement, we examine your current AI initiatives through the lens of cognitive science and practical engineering experience.

What you get:

  • Pre-consultation assessment of your current AI landscape
  • 90-minute deep dive session with both consulting principals
  • Comprehensive written recommendations
  • 30-minute follow-up session
  • Strategic roadmap for cognitive-aware AI development

Cognitive-Informed Architecture Review | €2,500

For organizations with existing AI systems or those planning new implementations, we provide a thorough review that ensures your architecture aligns with both technical best practices and cognitive science principles.

This service includes:

  • Review of current or proposed system architecture
  • Analysis of human-AI interaction points
  • Identification of cognitive load and potential friction points
  • Specific recommendations for cognitive-aligned improvements
  • Implementation guidance document
  • Technical specification review

NLP System Optimization | €3,000

Drawing on our extensive experience in natural language processing and cognitive linguistics, we help optimize your language-focused AI systems for better performance and user interaction.

The engagement covers:

  • Evaluation of current NLP pipeline
  • Analysis of language model performance
  • Assessment of cognitive alignment in language processing
  • Recommendations for improved text processing strategies
  • Guidance on model selection and tuning
  • Implementation roadmap with specific action items

Implementation Support | €750/month

For organizations actively implementing our recommendations, we provide ongoing support to ensure successful execution. Minimum engagement: 3 months.

Support includes:

  • Two 45-minute virtual office hours sessions per month
  • Email support for specific technical questions
  • Monthly progress review and adjustment of recommendations
  • Priority access for urgent questions
  • Implementation troubleshooting
  • Regular updates on relevant research developments

Featured Projects

Radioship (Google News Initiative)

We tackled one of the most challenging problems in speech recognition: creating accurate systems for languages with limited resources. By combining cognitive understanding of language processing with advanced AI techniques, we developed an innovative pipeline that made audio content accessible in previously underserved languages.

Our innovative pipeline combined wav2vec-based speech recognition with sophisticated language modeling for output correction, achieving production-quality results for previously underserved languages.

The project demonstrates our ability to:

  • Design hybrid architectures that combine deep learning with classical NLP approaches
  • Optimize model performance under real-world constraints
  • Lead technical teams to deliver complex AI solutions on time and within budget

Complytron (Acquired by SEON)

As founder and Head of Data Science at Complytron, we developed an AI-powered compliance solution for the financial industry that was successful enough to be acquired by SEON. Our system combined advanced NLP techniques with domain-specific knowledge to automate complex compliance processes.

Key innovations:

  • Person and company entity recognition systems optimized for financial documents
  • Intelligent keyword detection that understood regulatory context
  • Scalable architecture processing millions of documents daily
  • Integration with existing financial workflows

Source Code Leak Data (Google Digital News Initiative)

Leading the data science team for this specialized search engine project, we created tools that helped investigative journalists navigate and analyze large-scale data leaks effectively. The system combined advanced web scraping capabilities with specialized search functionalities designed specifically for investigative reporting.

Our solution provided:

  • Intelligent document classification and clustering
  • Entity recognition optimized for investigative contexts
  • Secure and efficient search across massive document collections
  • Tools for identifying connections and patterns in complex datasets

Survey Analysis Innovation

In collaboration with Széchenyi University's Marketing and Management Department, we developed novel NLP methodologies for analyzing open-ended survey responses. Our approach combined probabilistic modeling with cognitive linguistics insights, revealing deeper patterns in qualitative data.

The project resulted in:

  • Published research on advanced survey analysis techniques
  • Scalable methodology for processing thousands of responses
  • Tools for extracting actionable insights from unstructured feedback
  • Framework for combining quantitative and qualitative analysis

About Us

Dr. Orsolya Putz

Dr. Putz brings a unique combination of cognitive psychology and linguistics expertise to AI development. As a faculty member at the Budapest University of Technology's Department of Telecommunications and Media Informatics, she investigates how human cognitive processes shape our interaction with information systems.

Her background in cognitive psychology provides deep insights into how people think, learn, and process information, while her Ph.D. in Cognitive Linguistics specifically illuminates how we understand and use language. This dual perspective allows her to approach AI system design with a comprehensive understanding of human cognitive processes.

Zoltán Varjú

Fifteen years of hands-on experience in Natural Language Processing and AI systems development. His expertise spans the full lifecycle of AI projects, from initial concept through to production deployment. Having worked with organizations ranging from startups to large corporations and NGOs, he understands how to adapt sophisticated AI solutions to real-world business constraints.

As the founder of one of the world's largest NLP meetup communities, Zoltán maintains deep connections with both academic research and industry applications. His experience includes successful projects in enterprise search, computer vision, and fintech, including founding and leading an AI company through acquisition.

Schedule Your Strategy Session

Transform your AI initiatives through cognitive science insights. Schedule a complimentary 30-minute strategy session to explore how our approach can enhance your AI systems.

During our discussion, we will:

  • Explore your current AI initiatives
  • Understand your specific challenges
  • Identify potential quick wins and longer-term opportunities
  • Answer your questions about our methodology
  • Determine if our expertise aligns with your needs
Book Your Session