Local ML matches top candidates to your roles — no cloud uploads, no data leakage. Your entire pipeline runs inside your own server.
Candidate resumes, salary expectations, and interview notes stored on vendor servers — a breach affects your reputation.
Most ATS charge per recruiter seat regardless of actual hiring volume — you pay even in slow months.
Cloud AI matching is opaque — you can't audit why a candidate ranked #1, and the model is trained on your data.
Local ML + rule-based engine runs entirely on your server. Full auditability, zero data egress, pricing by hires not seats.
Set requirements, weights, and rule filters for each job opening via the admin UI.
Upload CVs or sync from your HRMS. OCR + NLP extract structured data locally.
The on-premise engine scores and ranks candidates using rule weights plus adaptive ML — all offline.
Recruiters review ranked candidates with explainable score breakdowns and one-click shortlisting.
Trained-on-premise model continuously improves from your hiring decisions without sending data externally.
Define hard filters and weighted criteria per role. Rules are always auditable and overridable by your team.
CV parsing via local OCR — supports Japanese, English, and Vietnamese resumes. No cloud OCR API calls.
Every candidate score includes a breakdown: which rules fired, which ML signals contributed, in plain language.
REST API + webhook support for your existing HR systems — SAP, Workday, or custom internal platforms.
Funnel conversion, time-to-hire, and source quality dashboards — fully on-premise, exportable to CSV.
Deploy in fully air-gapped environments. All ML models are bundled — no internet required after initial setup.
Data residency is guaranteed within your servers. Retention policies enforced locally with automated PII purging.
Every scoring decision is logged locally. Know exactly which rule or ML weight influenced each ranking, when, and by whom.
SmartHire Engine · Local ML · OCR · DB
Monthly hires processed through the system — the primary driver of package scope and capacity configuration.
On-site datacenter, private cloud, or hybrid. Server specs, HA requirements, and backup strategy affect deployment scope.
Rule engine only, full local ML, HRMS integration, custom OCR languages — each component is scoped to what you actually need.
Email, dedicated engineer, or on-site. SLA response time and training sessions included in the package proposal.
Tell us about your hiring needs — we'll send a tailored proposal within 2 business days.
Request a Custom QuoteAll candidate data encrypted at rest with AES-256. Encryption keys managed entirely by your team.
Runs on your own Linux servers or private cloud (AWS VPC, Azure Private Link, on-site datacenter).
Designed for Japan's Act on the Protection of Personal Information — retention limits, consent tracking built-in.
All candidate data exportable in standard formats. Migrate away at any time with full data ownership.
Tell us your hiring volume and we'll recommend the right package and schedule a live demo of the local engine.