Moka
A Chinese AI-native HR SaaS that rebranded to Moka AI in 2026, built in three layers: an intelligence layer of Moka Eva agents (recruiting Eva, HR Eva, BP Eva), a system layer of Moka Recruiting and Moka People, and a capability layer called Moka AI Studio. The site reports 3,000+ customers, with referrals and campus hiring as its strongest scenarios.
Updated: 2026-10-29
What is Moka?
Moka now positions itself as Moka AI, framed as three cooperating layers: the intelligence layer (Moka Eva, comprising recruiting Eva, HR Eva and BP Eva), the system layer (Moka Recruiting plus Moka People as one management system) and the capability layer (Moka AI Studio, where business-language requests go live in hours with sandbox rehearsal and rollback).
The site lays out an AI timeline: an AI team and resume parsing in 2018, search, recommendation and matching across core recruiting scenarios by 2022, large-model development and Moka Eva in 2023, intelligent interviewing and conversational BI in 2024, intelligent talent recommendation and outbound calling in 2025, and an AI agent matrix in 2026. Customer base: 3,000+ companies.
Who is it for?
- Internet and consumer companies that treat referrals and campus hiring as core channels
- Growing companies replacing separate recruiting and HR systems with one suite
- Employers hiring overseas that need cross-border compliance support
- HR teams that want configurable AI rather than fixed features
Key features
7Recruiting Eva
pitched as a diligent recruiting specialist that makes hiring progressively more accurate.
HR Eva and BP Eva
handle HR transactions and support business-partner talent decisions, shifting from managing by headcount to managing by capability.
Intelligent recruiting management
social, campus, referral and headhunter channels with workflow automation, talent pool operations, analytics and career-site building.
Moka People
connects core HR, attendance, payroll, performance and approvals, continuing from hiring into employment.
Moka AI Studio
business-language configuration that ships in hours, with sandbox rehearsal and archived rollback.
International edition
unified domestic and overseas control, cross-border collaboration and overseas data compliance.
Referral engine
several customer cases centre on referrals — Lego says its referral ratio doubled and 37 Interactive Entertainment says referrals account for 50% of campus hires.
How to use Moka
- 1Eva agents depend on accumulated recruiting data; run the system for two or three months before switching AI on.
- 2AI Studio customisation needs an owner — do not expect zero maintenance.
- 3Referrals are its most mature scenario; design the referral mechanics first so the tool can amplify them.
- 4Site figures come from customer cases; talk to reference customers in your industry.
Traffic & popularity
Data month Sep 2026
Moka receives about 1.7M visits per month and ranks #24,488 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct78.0%
- Referrals10.9%
- Mail4.7%
- Search3.6%
- Social2.3%
- Other0.6%
Top countries
- China83.2%
- United States4.9%
- Hong Kong, China2.2%
- Taiwan, China1.0%
- Singapore1.0%
Estimated from third-party traffic data.
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