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MaC Unpacked 2026: AI THAT WORKS

Brief

MaC Unpacked 2026 panel 'AI THAT WORKS' (MaC Venture Capital, published 2026-07-02) is a presentation featuring founders from Avala, Blok, and Qvyon. The panel focused on applied AI: Avala's Physical AI data stack, Blok's simulation-driven product testing, and Qvyon's sensor-data scaling for autonomy—arguing AI must solve concrete problems and move smart.

Why it matters

Avala provides end-to-end data infrastructure for 'Physical AI': collecting and labeling real-world sensor data, training and deploying foundation models, and powering systems from self-driving cars to humanoid robots under a 'People-First AI' philosophy.

Key details

  • Blok uses AI-driven simulation to enable 'test before you build' product development, reducing physical prototyping and accelerating design and iteration cycles.
  • Qvyon converts scarce real-world sensor data into scalable datasets for autonomy and robotics, supplying critical infrastructure to deploy perception and control models at scale; the panel emphasized that the best AI companies 'move smart' rather than just move fast.
Source evidence

AI is only as valuable as what it actually does. This panel brings together three MaC-backed founders building AI that solves real, specific problems – not AI for the sake of it. Avala is the end-to-end data infrastructure for Physical AI, from collecting and labeling data to training and deploying foundation models. They power everything from self-driving cars to humanoid robots, built on a People-First AI philosophy. Blok uses AI-driven simulation to enhance product development, letting companies test before they build. And Qvyon builds critical AI infrastructure for autonomy and robotics, turning scarce real-world sensor data into scalable datasets for deployment at scale. Three industries, one thesis: the best AI companies don’t just move fast – they move smart.

Channel: MaC Venture Capital
Published: 2026-07-02
Video URL: https://www.youtube.com/watch?v=LmypY11_YRs