Unstructured Data in HR
Turning the chaos of resumes, documents, and chats into structured intelligence.
Data Processor
Trusted Data Driven
Making Sense
of the Mess
80% of HR data is unstructured. It lives in PDF resumes, email threads, Slack messages, and performance review comments. Legacy HRMS tools ignore this data because they can only read rows and columns. Kiework's AI engine ingests, structures, and analyzes this "hidden" data to reveal deep workforce insights.
Unstructured Data Processing
| Data Source | Kiework AI Analysis | Insight Gained |
|---|---|---|
| Resumes (PDF) | Semantic Entity Extraction | Hidden Skill Discovery |
| Employee Feedback | Real-time Sentiment Scoring | Burnout Prevention |
| Policy Documents | Vector Indexed Retrieval | Instant Compliance Answers |
| Email/Chat Logs | Pattern recognition | Communication Bottlenecks |
How Kiework AI extracts value from messy, unstructured data sources.
Resume Intel
We don't just keyword match. Our AI reads resumes like a human, understanding that "managed a team of 10" implies leadership skills.
Sentiment Analysis
The AI analyzes anonymous feedback and public chat channels to gauge real-time sentiment and flag burnout risk early.
Policy Retrieval
Ingest 100-page handbooks. The AI indexes them so employees get precise, cited answers to policy questions instantly.