Product & Tech
Seb
EU AI Act enforcement is live (July 10): route optimization, automated dispatch and driver-monitoring systems classed as high-risk — documentation, transparency and human oversight now legally required across EU logistics
Action: explainable AI just became a purchase criterion for every EU fleet operator. Fold “audit-ready, contextualized data layer” into the LUX-entity pitch and the DDQ annex — we make our customers’ AI defensible, which closed telematics stacks cannot.
“Physical AI holds a lot of promise for IoT, but there are significant challenges” — IoT Now names the gap: sensor data that lacks context, quality and trust cannot feed AI decision-making safely
Use: the trade press is now articulating our problem statement for us — the bottleneck is not models or compute but AI-ready physical-world data. Quote-worthy framing for the website vertical pages and the seed deck’s “why now” slide.
Edge AI IoT devices hit their mass-market inflection in 2026 — local processing moves from pilot programmes into mainstream product portfolios
Watch: as on-device inference commoditizes, differentiation shifts up-stack to whoever contextualizes and unifies what the devices produce. Confirms our capture-plus-context architecture; no spec change needed yet.
Siloed routing and telematics named “the single biggest drag on performance” in last-mile — TMS vendors push seamless interoperability across the whole tech ecosystem as the only way forward
Signal: the TMS layer is admitting it cannot deliver AI value on top of fragmented telematics feeds. TMS/ERP integrators remain our most natural channel partners — they need a unified data substrate more than anyone.