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Robles and NurivaTech aim to disrupt the pricey motion capture market with sportFX.ai, using smartphones to democratize access to biomechanical analysis once confined to elite labs.
Eliseo Robles, the CTO of NurivaTech, is on a mission to make motion capture technology accessible and affordable. Traditionally, this tech has been locked behind $200K+ laboratory setups, but Robles and his team have developed sportFX.ai, a markerless motion capture platform that leverages smartphone video for biomechanical analysis.
The benchmark in motion capture technology has long been set by marker-based lab systems. These systems require specialized markers placed on the body to track movement, which are then recorded by high-speed cameras and processed using complex algorithms. While these setups provide precise data, they come with a hefty price tag and significant infrastructure requirements.
Eliseo Robles' journey into motion capture began with his first company, Lumina Education. He saw firsthand how rural schools in Mexico were left behind by educational technology designed for well-funded districts. This experience taught him that the most compelling technology challenges are about making existing solutions accessible to those who can't afford them.
At NurivaTech, Robles and his team applied this philosophy to motion capture. They aimed to create a platform that could deliver the same high-quality data as traditional systems but at a fraction of the cost.
sportFX.ai uses smartphone video to perform markerless motion capture. Here’s how it works:

One of the biggest challenges for Robles and his team was convincing sports science professionals that sportFX.ai could deliver accurate results. To address this, they conducted an initial validation study at Wake Forest University, comparing their platform against a leading marker-based system.
These results were a game-changer, providing the evidence needed to gain credibility in the field.
By making motion capture accessible, sportFX.ai has the potential to democratize biomechanical analysis. Here are some key impacts:
Eliseo Robles is quick to credit his team for the success of sportFX.ai. “I’m lucky to lead a really talented group of engineers,” he says. “The team is the reason any of this works.”
As NurivaTech continues to refine and expand sportFX.ai, they are committed to making advanced motion capture technology available to everyone who needs it.
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Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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25 April 2026
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