Talent AI
TWSS AI Parsers (SwarmHR)
Resume parsing and candidate-to-job vector matching.
AI-powered resume parsing, entity extraction, and candidate-requirement matching, built on FastAPI, Next.js, and production ML pipelines.
Outcomes
- Higher candidate-JD match accuracy
- Reduced sourcing time per requisition
- Pipelines that scale to 10k+/week
Key capabilities
- Multi-format resume parsing (PDF, DOCX, RTF, TXT)
- Entity extraction (skills, experience, education)
- Vector matching: candidate to job description
- ATS-ready API with horizontal scaling
How it works
- 1
Resume ingested in any common format
- 2
Entities extracted (skills, experience, education)
- 3
Vector embedding for semantic match
- 4
Score against open job descriptions
Integrations used in this accelerator
Staffing / HR
Greenhouse
Staffing / HR
Lever
Staffing / HR
iCIMS
Staffing / HR
Daxtra
Data Platforms
PostgreSQL + pgvector
Infrastructure
Nginx
Tech stack
- FastAPI + Next.js
- ML pipelines
- pgvector
- Nginx ingress
- Horizontally scalable workers
Ideal for
Staffing firms, RPOs, and in-house TA teams parsing 1k+ resumes/week.
Start a 6-week pilot on TWSS AI Parsers (SwarmHR).
Every accelerator ships with a scoped pilot. Bring the use case; we bring the platform, the agent, and the guardrails.