AI-powered resume tailoring that matches your qualifications to job descriptions in seconds
Datasets for RAG, fine-tuning and training built from public sources
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
Not given
Pricing model
Freemium
Paid
Pricing
Launchpad: $15/month (1 resume optimization per day, up to 30 per month). Accelerator: $26/month (3 per day, up to 90 per month). Unlimited Horizon: $32/month (5 per day, up to 150 per month). Free trial includes one resume optimization.
Web Corpus: starter sets from $49 (250,000-500,000 documents); shelf corpora from $99-$199 per shelf (one-time license); Everything (full crawl) $3,000 one-time; Whole Library (all builds for one year) $5,000 per year. Reference Collections: Encyclopedia $1,200 commercial or $349 research (one-time)
Key features
ATS-optimized resume generation
Resume tailoring in under 60 seconds
Job description scanning from multiple job boards
Multilingual resume optimization
Editable Word document downloads
Job-specific keyword analysis
Advanced formatting improvements
Priority processing
Web corpus with 100.7M documents and 105B tokens from Common Crawl
Documents scored with Bear Rank and shelved by subject
15 million encyclopedia entries with sources and model attribution
200 million synthetic Q&A records with metadata
Delivered as JSONL and Parquet formats
Free samples available on Hugging Face
Command-line client with resumable downloads and SHA-256 verification
Statistics collection with 7,000 topics and 140,000 figures
Glossaries for 10,000 topics with one million definitions
Book Q&A dataset with 8,000 titles for reading comprehension
What makes it different
Tailors resumes to match job descriptions in seconds instead of hours
Trained on 10,000+ resumes from people who actually got hired
Maintains your authentic voice while optimizing for specific roles
Works with any job source including company career portals
All datasets built only from public sources with full provenance tracking
Every record includes source attribution and licensing information
Eight curated subject shelves for targeted corpus selection
Flexible purchasing: buy individual shelves, slices, or entire library
Over 4 TB of clean, deduplicated text ready for machine learning
CVnomist