How Hublance OS processes and routes actions from the public entry point into candidate pipelines.
Natural language requirements submitted to Hublance Signal are parsed immediately by our classification engines. The system determines the user category, classifies the need type, and extracts the target locations, seniority, and missing fields.
{
"userType": "COMPANY",
"needType": "EOR",
"role": "Data Engineer",
"skills": ["Data Engineering", "Python"],
"country": "Portugal",
"urgency": "High",
"eorNeed": true
}Consultant CV files are parsed directly into structured data. Detected technologies are verified against our canonical skill catalog (avoiding duplicated text fields) to construct clean candidate condition profiles immediately searchable by matching algorithms.
{
"candidateId": "cand_9f2k8a1s",
"availability": "IMMEDIATE",
"workModel": "REMOTE",
"expectedRate": 60,
"currency": "EUR",
"skillsMapped": ["SAP", "SuccessFactors", "EC"]
}Every action generates automatic assignments. SAP leads route to ERP recruiters; general EOR inquiries route to international compliance owners. Concurrently, UTM tracking and page referrers are logged to map exactly where requirements originated.
[DISPATCH] OwnerProfile assigned: Alex Mercer [REASON] Mapped to Tech Specialist Recruiter [NOTIFICATION] NotificationEvent generated -> Gabriel [STATUS] queued in Hublance OS
Hublance OS ensures that no candidates are lost, no lead details are discarded, and every intake is processed, categorized, and assigned to a recruiter queue with compliance checks.
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