Technology · Creativity · Attribution

Building the future of human–AI co-creation.

For twenty years, I have worked across computational creativity, music, attribution, and the economics of human–AI collaboration—building tools and systems that expand human agency and make contribution visible and valuable.

Nicolas Gonzalez Thomas
Twenty years at the intersection of computation and creativity.
20+ Years in creative AI
$4.5M Raised at Musical AI
2013 Early model evaluation research
The throughline

A single direction, expressed through different work.

  1. 2008 Research

    Metacreation

    Early systems and methods for computational creativity.

  2. 2014 Co-creation

    Pyatt Hall

    Machine-generated music performed by human musicians.

  3. 2018 Product

    Spliqs

    Generative music designed to augment rather than replace.

  4. Today Infrastructure

    Musical AI

    Attribution connecting contribution to credit and compensation.

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Current work

Musical AI

The first rights management and attribution platform for generative AI. At Musical AI, we are building patent-pending technology that traces how training data influences AI-generated outputs, so creators get credited and paid.

$4.5M
Latest Raise
20M+
Licensed tracks in catalog
Patent Pending
Model & modal agnostic attribution

Symphonic Distribution · Pro Sound Effects · SourceAudio · APM Music · Kanjian

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Point of view

Human contribution requires attribution infrastructure.

When a human and a machine create value together, who is acknowledged, and who is paid?
Music

Reflections 1 & 2

Composition performed at the Pyatt Hall, Vancouver 2014.

0:00
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Research

An Early Framework for the Quantitative Evaluation of Generative AI Output

In 2013, I introduced a quantitative method for comparing generative output with human-authored corpora, bringing statistical analysis to model bias and creative variance.

4 selected publications · 2012–2016

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Buenos Aires → Vancouver

Technical founder, researcher, and composer.

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I'm open to conversations about AI, attribution, music, leadership, conscious business, and creative technology.

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