What is AI-powered candidate screening?

AI-powered candidate screening is the process of using artificial intelligence to automatically evaluate job applicants based on their CVs, application form answers, and other signals. Krinai does this by parsing resumes with NLP, judging open-ended answers with a large language model (LLM), and calculating a composite score across 9 behavioural dimensions — all without human bias.

What are the 9 dimensions Krinai uses to score candidates?

Krinai evaluates every candidate across 9 dimensions: (1) Skills Matching — semantic alignment of candidate skills to role requirements, (2) Experience Depth — years, seniority, and domain relevance, (3) Education — degree level, field, and institutional fit, (4) Form Answer Quality — LLM-judged rubric scoring on open-ended answers, (5) Achievements — quantified impact statements extracted from the CV, (6) Soft Skills — communication, leadership, and teamwork signals, (7) Cultural Fit — values alignment with the hiring persona, (8) Red Flag Analysis — anomaly detection, employment gaps, and inconsistencies, (9) Custom Criteria — recruiter-defined rubric rules with configurable weights.

How does Krinai eliminate hiring bias?

Krinai removes bias through several mechanisms: a blind review mode that hides candidate demographics from reviewers, AI-generated job descriptions with inclusive language scoring, standardised rubric-based evaluation for every candidate (no gut-feel decisions), and a hiring panel with consensus tracking. Every scoring decision is auditable and transparent.

How long does it take to screen candidates with Krinai?

Krinai screens candidates in real time as applications arrive. The AI engine parses a CV and evaluates all 9 dimensions in seconds, with results pushed to the recruiter dashboard via WebSocket. Teams using Krinai report a 9× faster shortlisting process compared to manual screening, reducing weeks of work to hours.

Is Krinai free to use?

Yes. Krinai offers a free Starter plan with 3 active job posts, up to 50 applicants per month, and basic AI scoring across 3 dimensions — with no credit card required. The Growth plan at $49/month unlocks the full 9-dimension scoring engine, unlimited job posts, and up to 500 applicants per month. Enterprise plans with custom pricing are available for high-volume hiring.

Is candidate data secure and is Krinai GDPR compliant?

Yes. Krinai is built on a secure-by-design architecture with row-level security (RLS) at the database level, ensuring tenant data isolation. All data is encrypted in transit and at rest. The platform is designed with GDPR compliance principles including data minimisation, consent management via cookie controls, and the right to erasure.

Krinai API Integration Guide

Welcome to the Krinai Developer Documentation. This guide will walk you through authenticating, fetching jobs, managing applications, and receiving real-time webhook events.

1. Authentication

Krinai uses API keys to authenticate requests. You can view and manage your API keys in the Krinai Dashboard under Settings > Integrations.

Provide your API key in the x-api-key header of all API requests:

x-api-key: krnai_live_YOUR_API_KEY_HERE

2. Fetching Jobs and Applications

You can retrieve your synced jobs and candidate applications by calling our REST endpoints.

Get Active Jobs

curl -X GET https://krinaiapi.ziontech.tech/api/v1/jobs \
  -H "x-api-key: krnai_live_YOUR_API_KEY_HERE"

Returns a list of all active job postings for your tenant.

Get Applications

curl -X GET https://krinaiapi.ziontech.tech/api/v1/jobs/YOUR_JOB_ID/applications \
  -H "x-api-key: krnai_live_YOUR_API_KEY_HERE"

Returns applications for a specific job ID. The response includes the \`ai_score\` which indicates the candidate's match percentage.

3. Editing Jobs and Applications

You can programmatically update your job listings and applicant statuses using the Krinai API.

Update a Job

Send a PATCH request to edit fields like title, location, or status (e.g. to close a job).

curl -X PATCH https://krinaiapi.ziontech.tech/api/v1/jobs/YOUR_JOB_ID \
  -H "x-api-key: krnai_live_YOUR_API_KEY_HERE" \
  -H "Content-Type: application/json" \
  -d '{
  "title": "Senior Frontend Engineer",
  "status": "closed"
}'

Update Application Status

Send a PATCH request to change the candidate's pipeline status. Valid statuses: \`received\`, \`under_review\`, \`accepted\`, \`rejected\`.

curl -X PATCH https://krinaiapi.ziontech.tech/api/v1/jobs/YOUR_JOB_ID/applications/YOUR_APP_ID/status \
  -H "x-api-key: krnai_live_YOUR_API_KEY_HERE" \
  -H "Content-Type: application/json" \
  -d '{
  "status": "accepted"
}'

4. Setting Up Webhooks (Real-time Sync)

Instead of polling the API to see if a candidate has been scored, you can register a webhook destination. Krinai will send an HTTP POST request to your URL whenever a relevant event occurs.

Registering a Webhook

Send a POST request to register your listener URL.

curl -X POST https://krinaiapi.ziontech.tech/api/v1/webhooks \
  -H "x-api-key: krnai_live_YOUR_API_KEY_HERE" \
  -H "Content-Type: application/json" \
  -d '{
  "url": "https://your-system.com/api/webhooks/krinai",
  "events": ["application.scored", "application.submitted"]
}'

Webhook Payload Example

When an event occurs, your endpoint will receive a payload like this:

{
  "event_type": "application.scored",
  "data": {
    "application_id": "123e4567-e89b-12d3-a456-426614174000",
    "job_id": "987fcdeb-51a2-43d7-9012-345678901234",
    "ai_score": 92,
    "candidate_name": "Jane Doe",
    "status": "scored"
  },
  "created_at": "2026-05-24T10:00:00Z"
}

Need more detailed endpoint schemas?

View API Reference