AI-driven frontline employee performance and engagement platform
Centrical builds an AI performance platform targeting contact centers and frontline teams at enterprise scale. The tech stack reveals a hybrid architecture—AWS microservices (Lambda, SQS, SNS) paired with traditional SQL Server and Entity Framework for transactional data, plus modern analytics (Redshift, pandas, scikit-learn, Qlik)—suggesting a mature, data-heavy product handling real-time performance signals and offline analytics in parallel. Hiring is concentrated in engineering and sales leadership, with a stated pain around BI not surfacing actionable insights; the platform's focus on personalized coaching and microlearning aligns with internal work on internal tools and workflow automation.
Notable leadership hires: Sales Director
Centrical operates a workforce engagement platform targeting enterprise contact centers and frontline-heavy organizations. The product layers performance management (real-time scoring, quality tracking), AI-driven coaching, personalized microlearning, and gamification to shape employee behavior and retention. Founded in 2013, the company operates across 150 countries in 40 languages, with offices in New York, Tel Aviv, and London. The engineering team is building on AWS infrastructure while migrating analytical workloads to Redshift; sales leadership is expanding concurrent to platform integrations work (CRM, marketing tools, internal systems). Core pain points center on translating business intelligence into front-line coaching interventions and reducing turnover via engagement.
Backend: C#, ASP.NET MVC, .NET Core, SQL Server, Entity Framework, Redis, MongoDB, DynamoDB. Infrastructure: AWS (Lambda, SQS, SNS). Analytics: Python, pandas, NumPy, scikit-learn, Redshift, Qlik Sense. Frontend: JavaScript, Angular, React. Integration: Zapier, Make, n8n.
Headquartered in New York, New York. Currently hiring in Israel. Offices also in Tel Aviv and London.
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