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    About conduix

    Making e-truck charging infrastructure decisions data-driven, transparent, and comparable.

    Our Mission

    We help engineering firms, CPOs, and fleet operators plan e-truck charging infrastructure faster and with greater confidence.

    conduix brings demand, infrastructure, grid, and economic analysis together in one continuous workflow. Complex data becomes a clear basis for decisions.

    Our mission is to make complexity manageable so our customers can focus on sound decisions and charging infrastructure that gets built.

    Our Three Pillars

    • Software & AI: An AI-supported planning workflow for charging-demand analysis, charger buildout, operations simulation, and energy and economic scenarios.
    • Optimization: Multi-objective algorithms compare technical sizing, CapEx, OpEx, and operational targets in consistent scenarios.
    • Electrical Engineering: Grid connection expertise that includes available power, connection alternatives, and technical requirements early in planning.

    How We Solve It

    The Problem: Engineering firms, fleet operators, and charge point operators must combine fragmented site, traffic, hardware, energy, and grid data into a robust infrastructure decision.

    Our Solution: We combine charging-demand analysis, phased infrastructure planning, operations simulation, and energy-system optimization in an AI-supported workflow. Time-resolved load profiles and documented grid constraints make alternatives transparently comparable.

    The Result: The result is a transparent decision basis with technical alternatives, cost assumptions, and sensitivities, tailored to the site and comparable across supported vendors.

    Our Team

    Our team combines AI, optimization algorithms, electrical engineering, and energy systems for robust infrastructure planning in the e-truck charging industry.

    Tim Sanders

    Tim Sanders

    CEO and Co-Founder

    Leads technical product development and turns conduix's vision into a powerful platform for data-driven charging infrastructure planning.

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