ML over millions of resumes builds a multi-dimensional profile and tags for every candidate — making your pool manageable and insightful.
800+ roles, 10000+ skills.
Every tag scored by importance.
Objective real-time salary estimate.
Same interface as resume parsing.
87%+ attrition-prediction accuracy.
Thousand-scale concurrency for batch profiling.
ML models over massive resume data produce scored tags; salary prediction weighs experience, education, region and industry, while attrition alerts predict short-term turnover from patterns.
Read the guide →Pass a resume or candidate ID and get multi-tag profiles, salary prediction and attrition probability. Python, JavaScript, Ruby, cURL.
800+ roles and 10000+ skills, each tag scored by importance — quantifying a candidate’s real capability profile.
Combining many signals, it delivers an objective salary range and short-term attrition probability in real time.
Profiles write straight back into your ATS, HR SaaS and talent pool — every record manageable and insightful.
Infrastructure and data services run on Alibaba Cloud — physical-machine encryption, vulnerability scanning and web-attack defense.
All traffic is encrypted with 256-bit SSL/HTTPS certificates, so nothing is leaked or tampered with in transit.
Private data uploaded to our servers is auto-deleted on a daily schedule, minimizing unforeseen data risk.
A randomized algorithm encrypts every resume during upload and parsing — even our own staff cannot read the plaintext.
One platform, two ways to ship.
Hosted on Xiaoxi servers and used via remote API calls — zero ops, elastic scaling, 1000+ concurrent requests.
Deployed on your own servers — on-prem or your cloud — so data never leaves your network.
Try it live for free, or request a trial to connect it to your systems.