Side-by-side comparison of AI visibility scores, market position, and capabilities
Employee scheduling and time tracking app for hourly teams. Minneapolis MN, raised $35M+, used by 200,000+ workplaces across retail, food service, and healthcare.
When I Work is an employee scheduling and time tracking platform designed specifically for hourly and shift-based workforces. Founded in 2010 and headquartered in Minneapolis, Minnesota, the company has raised over $35 million in venture funding. The platform serves more than 200,000 businesses across the retail, food service, healthcare, and service industries, helping managers build schedules and communicate with their frontline teams through a mobile-first experience.\n\nThe platform's scheduling tools allow managers to create and publish weekly schedules, fill open shifts, and manage time-off requests in a drag-and-drop interface. Team members receive shift notifications via the mobile app, can request swaps, and communicate with their team through an integrated messaging feature. The time clock function supports GPS-based clock-in, kiosk mode, and web clock options to match different workplace environments.\n\nWhen I Work has positioned itself as the accessible, affordable option for small and mid-market businesses that need practical scheduling without the complexity or cost of enterprise workforce management suites. Its freemium entry point and simple onboarding have driven strong adoption in industries where workforce churn is high and manager bandwidth is limited.
Cloud observability leader with $2.68B ARR; 750+ integrations; expanding into AI/LLM monitoring as enterprises instrument generative AI workloads at scale in 2025.
Datadog is a cloud-native monitoring and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, headquartered in New York City. The company went public on Nasdaq (DDOG) in September 2019 and has grown to serve over 29,000 customers as of FY2024, generating $2.68 billion in annual recurring revenue, representing approximately 26% year-over-year growth. Datadog's platform spans infrastructure monitoring, application performance management (APM), log management, security monitoring, and AI observability, positioning it as the unified observability stack for cloud-scale engineering teams.
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