Technology

One person's data,
until it meets the right job

September 1, 2026 00:00:00 Candidate Dataset ─── 1,137 Data : Job Fit | Accessibility | Retention

Find the right candidates, precisely.
Hire faster. Keep them longer.

Jobility connects three streams of data
into one matching and retention flow.

Job & skills data

Job-fit analysis reflecting experience, technical skills, and 15 disability types

Workplace data

Accessibility built on 6,400+ facility records from the Ministry of Employment and Labor API

Retention data

First-90-day adaptation, stress indicators, and attrition risk signals

From candidate profile
to recommendation.

01 · EXTRACT

Documents become data

OCR extracts text from resumes and cover letters, then structures the job, experience, and disability-related information.

02 · SCORE

15 types, scored 0–100

Jobility predicts job fit across 15 disability types and normalizes every candidate to a 0–100 score for fair comparison.

03 · EXPLAIN

The match — and the why

XGBoost-based prediction with XAI visualization shows the best-fit candidates and the factors behind each recommendation.

04 · ONBOARD

Hiring is the start, not the end

A 90-day adaptation analysis with weekly check-ins shows how each new hire is settling in.

05 · RETAIN

Never miss a retention signal

Changes detected in check-ins alert HR, and Microsoft Teams integration supports on-the-ground follow-up.

AI MATCHING ENGINE

Person-job fit,
compared with data.

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Candidate Dataset
Candidate data used to train and evaluate the AI
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Disability Categories
Disability types reflected in job-fit analysis
XGBoost
Classification Model
Classification and prediction model
XAI
Explainable AI
Explains every recommendation
AUC 0.73
Model Evaluation
Evaluated on 1,137 data points

Source: Jobility product materials (CES). Detailed technical figures are available in our technical and IR materials.

Candidate dataset composition1,137 data points
Visual
Hearing
Physical
Developmental
Other
Visual and hearing impairments account for 89% — per CES public materials. Areas are a visual representation of composition.
EXPLAINABLE AI

Who we recommend matters.
Why matters just as much.

Beyond the result itself, you see the key factors that shaped each candidate's evaluation.

Skill match
85%
Experience level
78%
Workplace fit
92%
Location accessibility
88%
RETENTION INTELLIGENCE

From Matching to Retention.

Jobility's use of data doesn't stop at the hiring recommendation.
Early-adaptation and tenure data flow into managing employment that lasts.

Retention Prediction

Predicts how likely each hire is to stay

90-Day Analysis

Analyzes adaptation over the first 90 days

Risk Detection

Flags attrition risk from stress indicators

HR Guidance

Response guidance for each situation

WORKFLOW INTEGRATION

One less system
to learn.

Jobility's retention features connect to the work tools companies already use.

Microsoft Teams integration

HR teams can use Jobility inside their existing tools — no separate system build required.

DATA & PRIVACY

We handle data with care.

Disability-related information is among the most sensitive personal data there is.
Jobility collects and uses data by four principles.

Sensitive by Default

Disability-related information is classified as sensitive data and collected only with separate, explicit consent.

Purpose-Bound

Data is used only for matching, onboarding, and retention management — never shared with third parties beyond the scope of consent.

Minimal & Pseudonymous

We collect only what's necessary. Model training and statistical analysis use pseudonymized, de-identified data.

Human in the Loop

AI suggests candidates and explains why. The final hiring decision is always made by a person.