About Us

We transform complex spatial data into secure, actionable insights for enterprise AI.

GeoLambda Company

Adapted Source: https://github.com/OpenBMB/ChatDev?tab=readme-ov-file

GeoLambda GmbH is a research, development, and consulting company transforming complex geospatial data into actionable insight – from climate-risk adaptation strategies to secure, AI-driven software solutions. Founded in 2025 by Dr. Gerrit Tombrink (PhD in Geomorphology; former Freelance Data Science Consultant), GeoLambda tackles challenges beyond the reach of conventional GIS workflows and off-the-shelf AI.

What makes us different

GeoAI at the core – We fuse state-of-the-art computer vision, large-language models and purpose-built AI agents to automate image classification, object detection and geospatial ETL — workflows that once needed whole analyst teams.

Built-in AI safety & EU-AI-Act readiness – Our Secure-AI checklist (bias audit, explainability, adversarial tests) follows the Commission's JRC guidance on harmonised AI-Act standards [JRC 139430], the security specifications of ETSI TC-SAI, and the independent safety recommendations of the Future of Life Institute. We map every system to the EU-AI-Act risk classes.

Lean, science-driven delivery – We run the build → measure → learn loop from the Lean-Startup playbook, shipping minimum-viable models in weeks, not quarters. The approach cuts waste and boosts product-market fit.

Sustainability & ethics – Spatial AI is our lever for planet Earth: our project pipeline aligns with global climate initiatives, including the EU Green Deal and adaptation strategies for a climate-resilient world.

GeoLambda pairs GeoAI research, lean product thinking and secure AI to turn your location data into actionable insight — responsibly and fast.

Founder & Expertise

Meet the founder and visionary behind GeoLambda's AI-powered solutions.

Dr. Gerrit Tombrink

Dr. Gerrit Tombrink

Founder, CEO & Data Scientist

As a passionate Data Science expert and Earth Scientist (Dr. rer. nat.), he has extensive expertise in solving complex data and geoscientific challenges. With a PhD in Earth Science from Georg-August-University Göttingen and formal education in Geoinformatics from Paris Lodron University Salzburg, he has developed deep expertise in qualitative and quantitative research. His continuous commitment to staying at the forefront of AI technology is demonstrated through multiple specialisations from deeplearning.ai (including Generative AI, Machine Learning, and TensorFlow Advanced Techniques) and Udacity's Data Analyst Nanodegree. After working as a Geospatial Data Scientist, he successfully built a reputation as a freelance Data Science consultant at geolinked.ai before establishing GeoLambda GmbH to research and develop secure AI-powered solutions and expand service offerings. His expertise spans advanced machine and deep learning, remote sensing, geospatial analysis, AI consulting, geomorphology and natural hazard assessment.

Project Highlights

Before founding GeoLambda GmbH, Dr. Tombrink established his expertise through key projects with leading institutions and enterprises:

MLOps, AutoML and web development

07/2023 - 01/2024
Client: Manufacturer of geoinformation software

Evaluation and testing of AutoML and MLOps methods with Python, development of a web survey with the Python library Flask, including database transfer.

Python JavaScript HTML Pandas MLflow Flask
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Data Wrangling and ML App Development

10/2022 - 12/2022
Client: Max-Planck-Institute and Helmholtz-Institute

Web Scraping and Data Wrangling of spatial datasets with Python, development of an (end-to-end) ML app and dashboards for training/validation of datasets with Python.

Python Pandas NumPy Streamlit Plotly AWS
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Database analytics, mapping and visualization

07/2021 - 06/2022
Client: Distribution system operator / Energy provider

Implementation of ETL processes to transform PostgreSQL/PostGIS data into an ArangoDB, creation of tools (e.g. visualisation, validation and anonymisation) and dashboards with Python.

Python PostgreSQL PostGIS ArangoDB NetworkX Bokeh
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Flood events and their effects in a Himalayan mountain river

2015 - 2017
Type: Independent research project

Investigations of the Buri Gandaki river (Nepal) system. Research examines flood events and related human interactions in the northwestern Himalayan Buri Gandaki Valley.

Lightroom Photoshop Fieldwork Remote Sensing QGIS GRASS GIS
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