For · HR SaaS · ATS · job boards & recruiting platforms

Give your recruiting product an AI brain — instantly

No in-house ML team — one open API embeds parsing, matching and semantic search straight into your product.

A few lines to integrate White-label ready Usage-based pricing
Integration

One open API to embed AI into your product

Decoupled in three layers — engines standardise data, intelligence understands people and roles, and open APIs feed every system you already run. Private-deployable; data never leaves your domain.

Into your product
Job board / platform
ATS
HR SaaS
Open API
Xiaoxi AI Engine
One integration · every capability
Parsing Matching Search Profiles JD parsing Graph
The challenge

As a software vendor, recognise any of these?

Scenario
AI capability gap
Customers demand AI, but an in-house ML team costs a year and millions.
Scenario
Losing bids
Rivals already flaunt an AI badge — your product loses on the comparison sheet.
PainTodayCost
Costly to build Hire NLP staff, label data, train models 7-figure spend · 1-year cycle
Weak parsing Inaccurate fields, poor format support Dirty data, poor UX
Keyword-only match Keyword matching only Churn & reputation slip
Compliance pressure Gov & finance need in-domain data Big deals fall through
Rollout plan

A clear rollout — every step has a metric

01 Week 1–2
Integrate
Get a key, integrate via docs
Sandbox running
02 Week 3–4
Pilot
Pilot customers, validate usage
Quality & volume verified
03 Month 2–3
Scale
Go GA, private-deploy on demand
AI becomes a selling point
Proof
Build cost ↓90%
Live in 2 weeks
98% parse accuracy
Private-deploy ready
Two weeks after integrating Xiaoxi APIs, i人事 shipped AI parsing and smart matching — without a year of building an ML team.
客户 logoi人事 · Product team

Drop an AI core into your product.

Deployment
Public-cloud SaaS or private deployment with in-domain data; open APIs and a dedicated account manager.
Public cloud SaaS Private deployment
* Figures shown are illustrative and will be replaced with measured or industry-benchmark data before launch; customer-story placeholders are pending real cases.