Orbio Raises $21 Million to Bring AI-Powered Hiring and Retention to the 2.7 Billion Frontline Workers Traditional Software Ignores
The News
Orbio, a Madrid-based AI workforce platform for frontline teams, has raised a $21 million Series A led by Dawn Capital, bringing total funding to $26 million. Founded in 2025 by Sergi Bastardas, Nacho Travesí, and Antonio Melé — experienced operators from Amazon and Colvin — the company deploys a suite of AI agents named Maria, Daniel, and Claire that handle interviewing, candidate assessment, output monitoring, and daily check-ins for frontline workers.
Orbio's customers include global quick-service restaurant chains under the YUM! Brands umbrella — Pizza Hut, Taco Bell, and KFC — as well as Poke House and The Stepping Stones Group, a US healthcare staffing provider. At Stepping Stones Group, Orbio now runs the entire US hiring operation, and 20% more candidates make it through to hire as a result. Founder Bastardas describes the interconnected agent architecture as a data flywheel: 'Each agent generates data that feeds back into the others: onboarding signals inform recruiting quality; exit interviews reveal why employees leave, which recalibrates hiring criteria; engagement data identifies retention risks.'
The company targets the 2.7 billion frontline workers globally — 80% of the world's workforce — who have been largely ignored by enterprise HR software built for desk-based knowledge workers. Bastardas puts it bluntly: 'The 2.7 billion people who keep healthcare, retail, logistics, and hospitality running, most of whom don't have a corporate email address, have previously got nothing. This is their AI moment.'
Orbio sees its primary competition not as other HR tech vendors but as the fragmented status quo of spreadsheets, phone calls, and manual processes that still define frontline workforce management at most large employers.
Why It Matters
For TA leaders in enterprises with significant frontline or hourly workforces, Orbio's traction is a signal that the technology gap in frontline hiring is finally closing. While knowledge-worker hiring has seen waves of AI investment — from AI screening to agentic scheduling — the 2.7 billion frontline workers have remained largely reliant on paper applications, in-store signage, and manual onboarding processes that create friction and drive away candidates.
The interconnected agent model — where hiring data feeds retention models and exit interviews refine hiring criteria — is particularly relevant for TA leaders wrestling with high turnover rates that can exceed 70% annually in frontline sectors. If Orbio's approach works at the scale of YUM! Brands franchisees, it suggests that the traditional separation between TA, onboarding, and retention is an organisational artefact rather than a structural necessity. The question for enterprise TA leaders is whether their own technology stack treats these as connected processes or as isolated handoffs.
Taking Action
All action is situated in your corporate context. These are starting points, not prescriptions — choose what fits.
Connect
Who to talk with in your enterprise
Your head of hourly and frontline hiring — benchmark your current time-to-fill, application completion rate, and 90-day retention against the improvement rates Orbio reports. If you are still relying on paper applications or manual phone screens for frontline roles, the ROI case for AI-powered screening and onboarding is stronger than ever. Request a demo and run it against one high-turnover role family.
Your head of HR technology — assess whether your current HCM or ATS platform offers dedicated frontline hiring workflows — mobile-first apply, SMS-based scheduling, and automated onboarding for workers without corporate email addresses. If not, Orbio's agent-based approach and the broader market movement toward frontline-specific tools should feature in your H2 technology roadmap conversations.
Your head of talent analytics — the 'data flywheel' Orbio describes — where retention data informs hiring criteria — is a closed-loop analytics model that most enterprises aspire to but few have implemented. Map your current data flows between TA, onboarding, and retention systems. Every break in that data chain is a missed opportunity to improve hiring quality based on actual employment outcomes.
Inspect
What to take a closer look at
Map your enterprise's frontline hiring funnel from first touchpoint to 90-day retention. Count every manual handoff, spreadsheet transfer, and system boundary where data has to be re-entered or re-requested. Each boundary represents a candidate drop-off point. Orbio's thesis is that these boundaries are not inevitable — they are the result of building technology for desk workers and retrofitting it for everyone else. Specific tool to look at: your ATS's mobile application completion rate for roles that do not require a corporate email address — if that rate is below 60%, your frontline application process is losing candidates before you ever see them.
Reflect
What to think about more deeply
The most interesting question isn't 'should we invest in frontline hiring technology?' — Orbio's customer list and the scale of the 2.7 billion-worker market make the answer obvious. The interesting question is 'does your enterprise's technology budget allocation reflect the actual composition of your workforce, or does it over-invest in knowledge-worker tools because those are what the vendor demos show?' Most HR technology spending is skewed toward desk-based hiring even in organisations where 60-70% of employees are frontline. If your budget, procurement criteria, and vendor evaluation process treat all roles as equal, you are systematically under-investing in the workforce that generates most of your revenue. Is your technology strategy built for the workforce you have or the one the vendors are selling to?