Predict hiring success and mitigate risk early

Forecast outcomes and reduce risks with data-led hireability insights.

Predict right. Hire smart.

Make confident hiring decisions with AI and ML algorithms that evaluate patterns, past interactions, role fit, and joining likelihood — all within one intelligent framework.

Risk Detection

Identify potential drop-off risks or offer declines early by using intent signals and pattern recognition from candidate behavior and responses during interactions.

Joiner Propensity Prediction

ML-based predictive models evaluate multiple parameters, score and rank high-risk candidates, forecast joining likelihood, and alert recruiters with possible reasons and actionable suggestions.

Outcome Predictability

Classification and regression algorithms analyze hiring outcomes by evaluating historical data, market dynamics, and candidate behavior to improve success rates.

Hire-ability Assessment

Holistic evaluation of candidate skills, experience, and cultural compatibility to identify the right match.

20% higher offer-to-onboarding conversion with 90%+ accuracy in prediction

Resources

AI Hiring Myths You Should Stop Believing in 2025

Why AI Myths in Hiring Persist According to Staffing Industry Analysts, AI adoption among HR professionals surged to 72% in 2025, up from 58% last year. Good news indeed. But for those who haven’t yet integrated AI tools, hesitation...

Multi-platform communication
Contextualised content
AI to Human
Requisition Management
Applicant Pipeline Optimisation
Pre-screening and Scheduling
Hiring outcomes and risk
Copilot for data insights
Market Data Engine

Predict hiring success and mitigate risk early