CAPABILITY DEMO · PRIVACY-FIRST AI
An on-premise candidate matching system built for HIPAA-regulated environments
100%
on-premise — zero cloud dependency
6-week build cycle
Healthcare
Healthcare staffing agencies review hundreds of resumes weekly for nursing and allied health positions. Placement cycles average 2-3 weeks — too slow when top candidates get hired in days. Cloud-based AI tools are often ruled out by HIPAA requirements. We built this system to prove that privacy-first AI can match or beat cloud solutions.
We designed an end-to-end AI recruitment system: resume parsing, skills extraction, candidate-to-role matching, and scheduling optimization. Every component runs on the client's own infrastructure — zero data leaves their network. The system surfaces the top candidates for each role in minutes instead of days.
Phase 1: Mapped a typical staffing workflow (47 discrete steps) and identified the 12 highest-impact automation points
Phase 2: Built AI resume parser + skills extraction engine. Created matching algorithm weighted by certifications, availability, location, and placement history
Phase 3: Integrated with standard ATS systems via custom API bridge. Built scheduling optimizer for shift matching. Packaged for on-premise deployment with encrypted storage
Minutes instead of days
Candidate shortlisting that previously took 2-3 days happens in under 5 minutes
100% on-premise
All candidate data stays on client infrastructure — full HIPAA compliance by design
Handles 200+ resumes/week
Tested at typical staffing agency volumes without performance degradation
Pluggable ATS integration
Custom API bridge connects to existing applicant tracking systems
“Privacy-first doesn't mean capability-second. Running AI on-premise actually simplifies the architecture — no network latency, no data transfer agreements, no cloud vendor lock-in.”
— Shrish Manglik, MDS
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