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Seldon – Machine learning technology

Seldon develops machine learning infrastructure that enables organisations to deploy and manage AI at scale. As the company grew within the fast-moving AI and fintech sectors, it needed a brand capable of communicating technical leadership while building credibility with enterprise clients, investors, and a rapidly expanding global community.

Challenge
Seldon’s existing brand lacked the clarity and distinctiveness needed to support its ambition. The company needed to engage both technical and executive audiences, communicate complex capabilities more clearly, and establish a stronger, more credible presence as it scaled.

Solution
We created a distinctive and scalable visual identity centred around a dynamic wordmark and kinetic visual language, expressing intelligence, momentum, and forward progression. This was supported by a vibrant colour palette, illustration system, and flexible visual framework designed to work across digital platforms, events, and product communications.

The identity was applied to a new website designed to address multiple audiences – allowing technical users and senior decision-makers to access relevant information clearly and confidently.

Outcome
The new identity helped position Seldon as a credible and forward-looking leader in machine learning, providing clarity across complex communications and supporting the company’s continued growth.

Following the rebrand, Seldon expanded its global MLOps community to over 25,000 professionals and successfully raised $20 million in Series B funding – supported by a brand capable of expressing its ambition and leadership.

Seldon Homepage
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Selected Works

Oxa – Autonomous vehicle softwareRepositioning Oxa to support global expansion, including a $140M Series C investment.
Seldon – Machine learning technologyTransforming Seldon’s identity to support platform and community growth, including $20M Series B investment.
Finbourne – Financial data infrastructureCreating a forward-facing identity during Finbourne’s early growth, including $25M Series A investment.