Workito eliminates staffing friction in the gig economy. Our LLM-driven engine analyzes unstructured job requirements and matches verified short-term talent with 98.4% semantic accuracy in under 30 seconds.
POST /v1/dispatch/parse -> "Need 3 bilingual event staff for an international tech summit in Istanbul tomorrow, 09:00-18:00. High energy, black attire required."
{
"intent": "URGENT_STAFFING",
"role_taxonomy": "Event_Hospitality_Specialist",
"hard_constraints": { "languages": ["TR", "EN"], "location": "Istanbul", "shift_hours": 9 },
"soft_attributes_vector": [0.892, -0.124, 0.944, "high_energy", "formal_attire"]
}
✔ Matched 3 verified candidates (Avg. Reliability Score: 4.94/5.0). Smart contracts & shift offers dispatched.
Traditional job boards rely on rigid keyword filters. Workito uses contextual reasoning to understand both employer needs and worker reliability.
Instead of simple tag matching, our LLM pipeline evaluates historical shift reviews, punctuality time-series data, and skill descriptions to compute real-time compatibility scores.
Employers speak or type raw operational needs in plain language. Our generative agent structures compliant job listings, calculates dynamic hourly pricing, and sets screening criteria automatically.
Candidate profiles undergo continuous multi-modal assessment. Post-shift feedback from businesses is analyzed via sentiment analysis to dynamically update worker reliability tiers.
We are currently onboarding select enterprise hospitality, retail, and event partners for our closed beta in Istanbul.
✓ Application received. Our onboarding team will contact your organization shortly.
For investor relations or API partnership inquiries: founders@workito.app