CVault vs General LLMs (ChatGPT)
Compare CVault vs building a custom LLM wrapper
Thinking of throwing resumes at the OpenAI API? Find out why raw LLMs struggle with structural consistency, hallucination, and candidate privacy.
Why General LLMs (ChatGPT) struggles: General LLMs are creative. In resume parsing, creativity is a bug. They hallucinate non-existent jobs, silently drop dates, and randomly break JSON schema.
Why technical teams prefer CVault
Schema Strictness Checks
Our pipeline validates structure before results move downstream, reducing broken JSON, corrupted arrays, and missing required fields that can crash an application.
Hallucination Guardrails
General LLMs can guess when confused. CVault uses specialized extraction pathways checked against the original text to reduce fake degrees or altered dates entering downstream workflows.
Strict Candidate Privacy
Sending PII to general commercial LLM workflows can create data-processing risk. CVault keeps privacy controls and DPA review in the deployment path.
Side-by-side comparison
Feature
CVault
General LLMs (ChatGPT)
Architecture & Speed
Primary Output Format
Clean JSON
Unpredictable String
API Architecture
Synchronous REST
Streaming REST
Resume Specialization
100% Dedicated
General Knowledge
AI & Intelligence
Advanced custom RAG system
Prompt dependent
Seniority & Gap Detection
Prompt dependent
Built-in Job Matching Score
Highly subjective
Hallucination Risk
Zero risk
High Risk
Security & Privacy
Memory-only Processing
Data Retention Policy
30-Day Auto Delete
30-Days (Enterprise APIs)
LLM Training on Customer Data
Never
Often Default
DPA Support
Requires DPA
Pricing & Integration
Public Transparent Pricing
Base Monthly Cost
$10/mo
Per Token
Time to First Parse
< 2 minutes
Minutes to build prompt
Mandatory Sales Calls
Ready to integrate a true ATS parsing engine?