Research-Driven
Research-driven enterprise AI solutions that bridge academic innovation with practical business applications across diverse industries.
About DataGomes
DataGomes specializes in research-driven AI approaches to solve complex challenges across industries. By combining academic rigor with practical implementation, we develop solutions that address real-world business needs.
Founded by Andre Gomes, an AI Solutions Architect with experience at the University of Cambridge and a track record of successful implementations for leading enterprises, our consultancy brings proven expertise to every client engagement. From analyzing millions of scientific articles to building custom retrieval agent systems, we've demonstrated our ability to tackle complex challenges across manufacturing, healthcare, infrastructure, and technology sectors.
Our work bridges the gap between cutting-edge AI research and business application, creating intelligent systems that deliver meaningful results for organizations seeking innovation-driven growth. Through our enterprise AI strategy, data analytics capabilities, and cloud implementation skills, we deliver end-to-end solutions that transform how businesses operate.
Expertise Areas
Enterprise AI Strategy
Technology roadmaps and strategic planning for companies and startups, helping organizations transform business processes with AI.
Data Analytics & Research
Analysis of scientific literature and complex datasets using NLP and machine learning, delivering research insights and actionable intelligence.
AI & Cloud Implementation
Development of custom AI solutions and AWS infrastructure with a focus on generative AI, large language models, and scalable cloud architecture.
Projects
ReportRAG
A library that automatically generates comprehensive reports based on scientific literature using AI. Simplifies research synthesis by leveraging retrieval augmented generation to create well-structured scientific summaries.
PaperAI
An interactive visualization tool for exploring hierarchical clustering of AI research papers. Navigate through 35,000+ abstracts organized using the CLIO methodology, with force-directed graphs revealing research trends and connections across biomedical AI domains.
Blog
AI-Driven Strategic Foresight: A New Approach to Enhance Digital Roadmapping
In today's rapidly evolving business landscape, organizations face unprecedented challenges in strategic planning and decision-making. This article explores a groundbreaking approach that combines advanced topic modeling with generative AI to transform strategic foresight and digital roadmapping.
Integrating Bibliometric Analysis into Strategic Roadmapping: A Methodological Advancement
Strategic roadmapping has evolved significantly since its inception. This article explores how the integration of bibliometric analysis with traditional expert-based roadmapping represents a methodological evolution in strategic planning, combining expert insights with quantitative techniques.
Understanding Food Waste Discussions Through Neural Topic Modeling
The analysis of social media conversations about food waste presents unique methodological challenges. This article explores how neural topic modeling offers a powerful solution to analyze informal language, short text lengths, and massive data volumes characteristic of platforms like Twitter.
Contact
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