Aerial computer-vision detection of animals in a field

Strategy / Engineering / Research

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Applied AI, built to work beyond the demo.

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What we do

From a useful question to a production-ready system.

We help companies through the strategic integration of artificial intelligence, tailored to their unique business needs.

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01

AI workshops

Facilitating AI-focused workshops aimed at enhancing understanding and proficiency.

02

Roadmaps and strategy

Working closely with C-level executives to formulate exhaustive AI roadmaps and strategic frameworks.

03

Opportunity evaluation

Evaluating business processes to prioritize the AI solutions with the strongest operational value.

04

Engineering implementation

Collaborating with engineering teams to explore potential solutions and guarantee a smooth implementation process.

Selected work

Models tested against the conditions that matter.

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Latest thinking

Notes from applied AI work.

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Do Open-Source Coding Models Actually Work?

Do Open-Source Coding Models Actually Work?

A Practical Example Using Gemma 4 and Qwen2.5-Coder with Aider Open-source coding models are improving quickly, and recent models such as Gemma 4 already show promising behavior in real development workflows. In this article, I walk through a practical example comparing two open-source models, Gemma 4 and Qwen2.5-Coder (14B), within an agent-based coding setup using […]

GPU vs TPU: Understanding the Differences in AI Training and Inference

GPU vs TPU: Understanding the Differences in AI Training and Inference

The first time I ever wondered what a TPU was happened years ago, when I was experimenting with Google Colab. I noticed that alongside the usual CPU and GPU options, there was this mysterious third choice: TPU. Back then, I had no idea what made it different or why Google offered it as an alternative […]

Pandas vs Polars: A Comprehensive Performance Comparison

Pandas vs Polars: A Comprehensive Performance Comparison

In the Python data ecosystem, Pandas has long been the de facto library for data manipulation and analysis. However, a relatively new library called Polars is gaining attention for its speed, memory efficiency, and advanced features like lazy evaluation. Polars uses Apache Arrow under the hood and is written in Rust, providing a modern columnar […]

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