Big-data ML screens candidates for each role automatically and precisely — upgrading matching from keywords to semantic understanding.
Tens of thousands of resumes matched per second.
Top models grasp hiring intent.
800+ roles, 10000+ skills.
Fit scored across 24 dimensions.
90%+ recruiter satisfaction.
A few lines of code drive your existing ATS.
Top deep-learning models perform semantic analysis on job descriptions with long-text understanding, in a multi-model reranking framework backed by leading resume parsing.
Read the guide →Pass a job title and description, get a scored candidate shortlist. Python, JavaScript, Ruby, cURL.
Degree, years, skills, industry, city, stability — 24 dimensions together compute person-job fit.
Long-text semantic analysis grasps a role’s true needs; a multi-model reranking framework surfaces the best fit first.
Matching results plug into your ATS, HR SaaS and job platforms — recommendations flow straight into interviews.
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.