PulseHR — AI-Powered HR Automation Platform
An AI-driven HR platform with automated resume screening, employee onboarding workflows, performance reviews, and predictive attrition analytics.
Project Overview
PulseHR is a B2B SaaS platform that automates the full employee lifecycle — from AI-powered resume screening and structured interviews to onboarding workflows, performance reviews, and predictive attrition analytics. The platform uses OpenAI models fine-tuned on HR data to screen resumes, generate interview questions tailored to job requirements, and identify employees at risk of leaving based on engagement signals. Built with React and Node.js, PulseHR serves 160+ companies managing over 45,000 employees collectively, with a PostgreSQL backend handling complex organizational hierarchies and permission models.
Timeline
18 Weeks
Team Size
7 Engineers
Platform
React + Node
Industry
HR Tech
Key Results
160+
Companies Using
64%
Faster Hiring
89%
Attrition Accuracy
45K+
Employees Managed
HR teams were spending 60% of their time on repetitive administrative tasks — screening resumes, chasing onboarding paperwork, and compiling review data. High-value work like retention strategy and culture building was consistently deprioritized.
Recruiters manually screening 200+ resumes per role, spending 23 seconds average per resume
Employee onboarding took 2-3 weeks of manual paperwork and checklist tracking
Performance reviews were quarterly paper forms with no data continuity between cycles
Zero predictive capability — attrition was only identified after resignation letters arrived
We automated every repetitive HR workflow with AI while keeping humans in the decision loop. The attrition model analyzes 40+ engagement signals to flag at-risk employees months before they consider leaving.
Fine-tuned OpenAI models on 500K+ anonymized resumes for role-specific screening with bias detection
Built automated onboarding workflows with document collection, e-signatures, and IT provisioning triggers
Created continuous performance tracking replacing quarterly paper reviews with real-time feedback loops
Trained a predictive attrition model on 40+ signals including engagement, peer feedback, and workload data
PulseHR reduced average time-to-hire from 34 days to 12 days and correctly predicted 89% of voluntary departures 60+ days in advance. The platform serves 160+ companies and has processed over 2 million resume screenings.
Average time-to-hire reduced from 34 days to 12 days across all client companies
Attrition prediction accuracy of 89% with 60+ day advance warning
Employee onboarding time reduced from 2-3 weeks to 3 days
HR teams report saving 22 hours per week on administrative tasks
Technologies Used
“PulseHR did not just automate our HR processes — it made us strategic. The attrition predictions alone saved us from losing three key engineers last quarter. We intervened early because the system flagged the risk two months out.”
Sarah Williams
VP of People, ScaleUp Ventures
