Anthrolytics provides a cloud‑native SaaS platform that uses anonymized operational data to generate predictive emotional‑well‑being scores for each employee. Its AI model forecasts burnout risk and attrition weeks before KPI impact, offering root‑cause insights and personalized intervention recommendations through dashboards or API integration.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations rely on lagging KPI reports and periodic engagement surveys, which fail to detect early signs of employee burnout and attrition. This delay leads to higher turnover costs, reduced productivity, and diminished customer satisfaction.
Solution
Anthrolytics offers a cloud‑native SaaS platform that ingests anonymized operational data from existing business systems and applies a patent‑pending AI model to generate emotional well‑being scores for each employee. The platform predicts burnout risk and attrition likelihood weeks in advance, identifying the underlying drivers behind the risk. Results are delivered through out‑of‑the‑box dashboards or via API integration into the company’s own analytics tools, enabling managers to intervene with personalized, data‑driven actions before performance metrics deteriorate.
Target Audience
Primary customers are mid‑size to large enterprises with sizable employee bases, particularly HR leaders, people analytics teams, and operations managers seeking to reduce turnover and improve employee engagement.
Features
- AI‑driven predictive behavioral analytics that convert non‑PII operational data into individual well‑being scores
- Early warning indicators for burnout and attrition, forecasted weeks ahead of observable KPI impact
- Root‑cause analysis that explains why an employee is at risk, based on patterns in operational events
- Seamless integration with existing HR, CX, and workforce management systems via secure data pipelines
- Ready‑made dashboards and exportable data feeds for custom reporting and visualization
- Cloud‑first architecture that scales across enterprise workloads without additional hardware