Lakehouse is an AI‑driven data platform that consolidates employee information from multiple HR systems into a single, standardized repository. It enables HR teams to run natural‑language queries, receive automated root‑cause analyses, forecasts and scheduled dashboards, and delivers alerts via configurable AI agents, all with GDPR‑compliant security. The solution includes pre‑built connectors and a three‑week onboarding process for mid‑size to large enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
HR teams spend significant time manually gathering, cleaning, and reconciling employee data from multiple HR systems, leading to low adoption of analytics dashboards and delayed insight generation. Fragmented data sources also make it difficult to answer ad‑hoc HR questions or detect emerging workforce issues in a timely manner.
Solution
Lakehouse provides an AI‑driven data assistant that centralizes employee information from disparate HR tools into a single, standardized database. Users can query the unified data store in natural language, receiving instant analyses, root‑cause explanations, and forecasts without manual data preparation. Configurable AI agents monitor defined triggers—such as time intervals or data changes—and automatically push customized dashboards, alerts, and insights to business leaders. The platform relies on a proprietary HR analytics model to ensure answer accuracy and complies with GDPR for secure data handling. Deployment is accelerated through pre‑built connectors and a three‑week onboarding timeline.
Target Audience
The primary customers are HR managers, analysts, and senior HR leaders in mid‑size to large enterprises that operate multiple HR information systems and require automated, on‑demand workforce analytics.
Features
- API‑based ingestion engine that connects to major HR systems (SAP HR, Workday, Oracle HCM, Personio) and normalizes records into a consolidated employee repository
- Natural‑language query interface powered by a custom HR analytics model that maps questions to validated statistical outputs
- AI agents that execute on schedule or data‑driven events to generate and deliver proactive dashboards, alerts, and custom insights to designated recipients
- Automated root‑cause analysis and projection capabilities for turnover, hiring, compensation, and other key workforce metrics
- Role‑based access controls and end‑to‑end encryption meeting GDPR requirements for data privacy and security
- Rapid implementation workflow with out‑of‑the‑box connectors, enabling full operational readiness within three weeks
- Web‑based analytics console allowing HR professionals to adjust insight preferences, set trigger conditions, and export results in common formats (CSV, PDF, API)