Docyt automates accounting workflows and financial reporting for mid-market and SMB finance teams using a Python + Ruby + Go backend on AWS/Kubernetes infrastructure. The tech stack—heavy on data pipelines (Elasticsearch, PostgreSQL, MongoDB) and orchestration (Jenkins, Terraform)—reflects a company solving real-time reconciliation and P&L generation at scale. Recent hiring acceleration across finance, sales, and engineering indicates simultaneous product expansion and go-to-market scaling.
Docyt builds an AI-driven accounting and business intelligence platform targeting small-to-medium businesses, franchise groups, and accounting firms. The product focuses on automating bookkeeping, revenue reconciliation, and month-end close workflows while surfacing real-time unit economics and P&L data. Operations span US and India-based teams. Current project focus includes QuickBooks data reconciliation, client onboarding and migration, and expanding training and webinar content—suggesting emphasis on both product reliability and customer enablement as the company scales.
Docyt runs Python, Ruby, and Go microservices on AWS with Kubernetes orchestration. Data layer includes PostgreSQL, MySQL, and MongoDB. Monitoring uses Prometheus and Grafana; CI/CD runs on Jenkins with Terraform and Ansible for infrastructure.
Docyt currently hires in the United States and India, with headquarters in Santa Clara, CA.
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Docyt's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.