Third-party management platform with AI-driven supplier scoring
WeHandle builds a third-party management platform focused on supplier oversight and risk mitigation. The stack—Python, Java, Spring Boot, PostgreSQL, BigQuery, plus observability tools (Datadog, Prometheus, Grafana)—reflects a backend-heavy, data-oriented architecture. Active projects around ML model integration and entity catalog APIs suggest the product is evolving toward automated supplier scoring and classification, directly addressing their documented pain around manual supplier process management and visibility gaps.
WeHandle operates in Brazil as a third-party management platform serving companies that need to onboard, monitor, and manage external service providers and suppliers. The platform combines core services (onboarding workflows, configuration tools) with emerging ML capabilities for supplier risk scoring. The engineering-and-data-forward hiring mix, concentrated in Brazil, indicates a product-led, technically oriented organization focused on automation and observability rather than high-touch sales.
Python, Java, Spring Boot, PostgreSQL, BigQuery for core services. Datadog, Prometheus, Grafana, and New Relic for monitoring. AWS infrastructure (ECS, Lambda, RDS). Power BI, Metabase, and Looker for analytics.
ML model integration for supplier scoring, entity catalog APIs, platform onboarding workflows, backend monitoring and observability, and core platform services. Recent focus on reducing manual supplier processes and improving visibility.
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