See who is leaving next
Kynoa's attrition prediction software flags the employees and teams most likely to resign in the next 6 months, with the reasons behind each flag, so managers can improve employee retention before the resignation email.
Employee attrition prediction uses HR and labour-market data to estimate which employees are likely to resign in a coming period, and why. Instead of reporting last quarter's attrition rate, it gives HR and managers a ranked list of flight risks and their drivers, such as pay below market or a recent manager change, while there is still time to act.
Kynoa internal validation on held-out data. Methodology available on request.
What you get
Individual flight-risk scores for HR business partners, alerts for managers, and team attrition forecasts for leadership.
A flight-risk score for each employee, built from 47 signals such as pay versus market, tenure, manager changes and demand for their skills.
Top drivers, platform team
Alerts when a pattern changes: a pay band slipping below market, a cluster of senior exits, or a sudden drop in hiring.
Recent alerts
Expected voluntary exits per department with confidence ranges, so hiring budgets match reality.
Risk index by department
Rollout
Kynoa connects to the HR systems you already use. No manual uploads, no replacement of existing tools.
Secure connectors for SAP SuccessFactors, Workday, Darwinbox, greytHR and custom HRIS. Data is encrypted in transit and at rest.
Models adjust to your industry, size, locations and history during a two-week calibration period.
Every employee is re-scored daily, with a confidence range on each score.
Alerts reach HR business partners and managers, with suggested retention actions and outcome tracking.
Accuracy you can check
Exit interviews and your attrition rate explain the past. Kynoa gives you a forecast you can test against what actually happens, quarter by quarter.
The cost of not knowing
Replacing an employee typically costs between half and twice their annual salary. Here is the conservative end of that range.
At 18.7% attrition, Bangalore tech average
At 0.5× an average CTC of ₹18.5L
If early warning lets you retain 20% of leavers
Worked example using the same cost model as our CFO simulator. Not a customer result. Run your own numbers in the free attrition cost calculator.
For technical evaluators
Every prediction comes with the reasons behind it and a confidence range, so HR and auditors can check it. Full details are in our methodology.
Gradient-boosted trees (XGBoost) for structured features, an LSTM for patterns over time, and attention over peer networks. Retrained daily.
SHAP attribution on every individual score, so a manager sees why someone is flagged, not just that they are.
Fairness checks across gender, age, tenure and department, with a monthly disparate-impact report.
Transfer learning from cross-industry baselines gives usable scores within two weeks, even with limited history.
AES-256 at rest, TLS 1.3 in transit, role-based access. SOC 2 Type II controls in place; audit report not yet issued.
Consent, purpose limitation and erasure built in. Personal data stays in India on AWS Mumbai (ap-south-1).
SAP SuccessFactors, Workday, Darwinbox, greytHR, Keka and BambooHR, plus a REST API.
SAML 2.0 and OIDC single sign-on, SCIM 2.0 provisioning. Works with Okta, Azure AD and Google Workspace.
Connectors for Tableau, Power BI and Looker, scheduled reports and embeddable dashboards.
Field-level encryption for personal data, retention policies and a full access audit trail.
CHRO / CPO
HR business partners
Compensation & benefits
Finance / FP&A
With a standard HRIS (SAP SuccessFactors, Workday, Darwinbox), typically two to three weeks. Custom integrations take four to six weeks. Our team handles the setup.
At minimum: demographics, tenure, compensation and reporting lines. Performance ratings, promotion history and internal moves improve accuracy. All data is encrypted in transit and at rest.
Kynoa is designed for the DPDP Act 2023. Personal data is stored in India on AWS Mumbai (ap-south-1). We support data classification and erasure, and sign a data processing agreement with every customer.
Yes. Models start from cross-industry baselines and are fine-tuned on your own patterns. Most organisations see stable accuracy within four to six weeks.
Per employee per month, with volume pricing above 5,000 employees. Book a call and we will quote for your size and integrations.
Design partner programme
We're onboarding a small group of Indian enterprises as design partners. You get early access and direct input into the roadmap. We get feedback grounded in real retention decisions.
A walkthrough of flight-risk scores for your industry and company size. No commitment.