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Company Description
Worklytics is a privacy-first workplace analytics platform that helps large organizations understand how work gets done and convert collaboration signals into measurable business impact. Purpose-built for People Analytics, HR, IT and business leaders, the solution unifies exhaust/log data from everyday tools to deliver real-time insights across AI adoption, productivity, meeting and manager effectiveness, burnout and wellbeing, and organizational network analysis. Its product suite includes Workplace Insights dashboards for self-serve reporting, a DataStream work data pipeline that saves teams thousands of hours of data engineering, and Benchmarks that calibrate performance against peers using 200+ rigorously tested metrics. Enterprises use Worklytics to track the depth and efficacy of generative AI usage with prompt-level KPIs such as Active AI Users %, Prompts per Active Seat, Cost per Prompt, Cross-Tool Usage Overlap, and Time-to-Proficiency, and to quantify manager-driven enablement via the AI Adoption Facilitation Index. Beyond AI, Worklytics illuminates collaboration flows, deep work and focus time, meeting overload, cross-functional connectivity, and manager coaching rhythms, while specialized views support software engineering effectiveness and revenue operations, as well as facilities insights like meeting room utilization. A core design principle is protecting employee privacy: Worklytics never stores or analyzes work content, applies a Pseudonymization Proxy, and aggregates metrics at group level to deliver fully anonymous insights that are GDPR and CCPA ready—no intrusive monitoring or browser plugins. Trusted by leading brands across industries, including Uber, Nubank, Asana, Pinterest, Boston Dynamics, Panasonic, Telefónica, Iberdrola, Cloudflare, and Standard Chartered, the platform provides live dashboards so leaders can measure the impact of interventions and sustain change. With robust integrations, a transparent data dictionary, and enterprise-grade security, Worklytics gives organizations the clean, reliable data they need to accelerate AI adoption, boost productivity, and improve the day-to-day employee experience at scale.
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