Solvionist

// Insights

Notes from the field.

What we learn building AI, industrial, and product systems in production — written for the people who run operations, not for the hype cycle.

  • Education · 2026

    Why we built SolEdu, and where it stands today

    In March 2026 Türkiye’s education ministry tied exam-question writing to 14 criteria. Why we built SolEdu around them, and what a school or a publisher receives.

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  • Machinery · 2026

    The machine is sold in a day and lived with for fifteen years

    After-sales is roughly a quarter of a machine builder’s revenue and a far larger share of its profit. Almost every lever that creates it is set on the drawing board.

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  • Automation · 2026

    A line is not finished when it runs — it is finished when it runs at rate

    Automation projects are budgeted around hardware and lost during commissioning. What the virtual-commissioning evidence shows, and which criteria to fix before steel is cut.

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  • Quality · 2026

    Warranty is the most expensive inspection station in the plant

    Carmakers spend roughly 2–3% of vehicle revenue paying warranty claims. Every point of that is a quality decision that was taken too far downstream.

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  • AI infrastructure · 2026

    Where should industrial AI run? The cycle time decides

    Cloud inference answers in 200–2,000 ms. Edge inference answers in 10–100 ms. For most production equipment that single difference settles the argument.

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  • AI in production · 2026

    Agent systems on the factory floor: where they actually work today

    Fewer than 10% of companies scale AI agents. Bosch’s €850k-per-plant result shows what the successful ones do differently.

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