Intelligence from the Field

Strategic thinking and practical guidance grounded in building applied AI, data and software systems for real operational and commercial problems.

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Why falling AI costs make model portability a priority

Perspectives

Why falling AI costs make model portability a priority

The cost of a given level of AI capability is falling fast. Build workflows that can switch models with an evaluation run, not a rebuild, and review cost every quarter.

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How to check an open-weights model licence before you build on it

Playbooks

How to check an open-weights model licence before you build on it

Open weights does not mean open for any use. A practical checklist for reviewing an open-weights model licence before you self-host it in a regulated workflow.

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Agentic AI from prototype to production: our EARL 2026 talk

Field Notes

Agentic AI from prototype to production: our EARL 2026 talk

Our EARL 2026 talk: why agent prototypes fail in production, five patterns that work and how to get the slides.

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Why specialist markets need intelligence infrastructure

Perspectives

Why specialist markets need intelligence infrastructure

Why specialist markets need connected, evidence-backed intelligence infrastructure rather than another static database or research report.

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Building AI without deep vendor lock-in

Perspectives

Building AI without deep vendor lock-in

AI adoption is accelerating, but so are the switching costs. Here is how organisations can move quickly while preserving provider choice, data control and a credible exit path.

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What Building Quantsole Taught Us About Production Analytics

Field Notes

What Building Quantsole Taught Us About Production Analytics

Lessons from building Quantsole, Rodan’s BI and AutoML platform, and how they now shape our production analytics engineering.

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What does a data-driven ecommerce growth strategy actually look like?

Perspectives

What does a data-driven ecommerce growth strategy actually look like?

A data-driven ecommerce growth strategy is more than dashboards. Here's the decision architecture that turns data into compounding commercial growth.

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How to choose an AI analytics tool for your ecommerce stack

Perspectives

How to choose an AI analytics tool for your ecommerce stack

How to choose an AI analytics tool for your ecommerce stack — a practical framework covering decision quality, integration depth and building the business case.

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AI for social commerce: what brands need to know in 2026

Perspectives

AI for social commerce: what brands need to know in 2026

AI for social commerce in 2026: what marketing directors and ecommerce leaders need to know about AI-driven discovery, dynamic creative and building real commercial capability.

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The Data Layer the Humanoid Robotics Industry Was Missing

Perspectives

The Data Layer the Humanoid Robotics Industry Was Missing

At Rodan, we spend most of our time deep in data - building analytics platforms, training models and helping some of the world's largest organisations make sense of complex information. So when a friend came to us with…

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