Built from massive recruiting data and external knowledge bases — the most complete recruiting knowledge graph, giving upper-layer AI its common sense.
Millions of companies and schools.
Precisely computes relations.
Fetch full entity details live.
Knowledge base refreshed monthly.
Feeds ATS, matching and more.
Lightweight models, lower cost.
Built on de-identified resumes at scale, tens of millions of jobs and open encyclopedias, using pattern recognition and probabilistic models to mine entity relations — common sense for upper-layer apps.
Read the guide →Pass a company, school or skill entity and get its attributes and relations. Python, JavaScript, Ruby, cURL.
Millions of companies, 1000+ schools and 100k+ skills, with precisely computed relations between them.
Enrichment, doc parsing, intent detection and matching all tap the graph — making every task smarter about recruiting.
The graph feeds ATS, matching, search and any downstream task — one shared base of recruiting common sense.
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.