Vilnius-based Traxlo, a platform reworking bodily labour into verifiable duties, has raised €1.6 million to develop its pay-per-task labour infrastructure throughout Europe, with launches underway in Czechia and Romania.
The capital was raised by enterprise capital fund Coinvest Capital, Dangerous Concepts Fund, Plug and Play, NGL, DEPO Ventures, together with participation from present buyers Iron Wolf Capital, Antler, amongst others.
“We’re not one other gig or shift labour app. We’re constructing the labour infrastructure for the age of AI,” mentioned Paul Vezelis, Co-founder and CEO of Traxlo. “If AI is automating data work, Traxlo is standardising and distributing bodily work on the identical scale.”
Based in 2020, Traxlo is creating a pay-per-task labour infrastructure for the AI period. It goals to switch conventional shift-based staffing with an outcome-based mannequin, breaking bodily work into standardised, measurable duties – matched immediately to native staff through their tasku.app and shortly orchestrated by its AI engine (tasku.ai), which can automate activity creation and completion checks utilizing LLM brokers and laptop imaginative and prescient.
“Traxlo not solely addresses labour shortages in retail and logistics, but in addition drives a systemic-level shift in how short-term work is finished,” mentioned Viktorija Trimbel, Managing Director of Coinvest Capital. “It’s uncommon to see a product with such a stable basis that’s already delivering actual worth to all platform members – from corporations discovering short-term staff to folks discovering jobs that match their schedules – and exhibiting sturdy potential for development.”
In simply three years, Traxlo began collaborations with 60% of the most important commerce gamers in Europe, together with names like REWE Group, Zabka and others. Its market has delivered over 300,000 bodily duties, starting from shelf replenishment and product scanning to warehouse unloading and e-grocery selecting.
The commpany outlines that every activity is standardised, teachable in a dozen minutes, and executable by native staff or quickly – robots.
The corporate’s mannequin reportedly unlocks prompt native labour in cities with staffing shortages with its most flexibility. Staff full duties on their phrases and receives a commission weekly. Companies purchase assured outcomes, not hourly presence. For native communities it has the potential to innovate the best way folks can earn predictable revenue whereas offering worth to companies.
With this spherical, Traxlo is doubling down on its technique, increasing geo protection and scaling. Future product layers embody agentic AI options, doubling down on automation, and connecting actual robotic staff into the identical market of duties.
