Production payroll and accounting platform for film, TV, and commercials
Wrapbook operates a vertical SaaS platform for production finance, built on Ruby on Rails, PostgreSQL, and Kafka-adjacent data infrastructure (Dagster, Airflow, dbt). The tech stack reveals a company managing high-volume transactional workloads while moving toward AI-assisted reconciliation; hiring is concentrated in ops and senior engineering roles, with active projects spanning Salesforce integration, automated reconciliation, and approval workflows — a pattern that maps to their core pain point: scaling transaction volume and post-sale operational friction.
Notable leadership hires: Analytics Lead
Wrapbook provides payroll, accounting, cost management, and crew scheduling software for production teams in film, TV, and commercials. The platform consolidates payroll processing, timekeeping, and financial reporting into a single interface, replacing legacy spreadsheet and disconnected-system workflows typical in media production. Founded in 2018 and headquartered in New York, the company serves production finance teams at studios, production companies, and independent productions. Scale spans transaction reconciliation at volume, complex multi-party approval workflows (insurance, tax, compliance), and concierge-style customer support paired with product innovation—176+ features shipped in the past year.
Ruby on Rails, PostgreSQL, Redis, Kubernetes, Python, and data pipeline tools (Dagster, Airflow, dbt). Also integrated: Salesforce, Slack, Okta, PagerDuty, and Zapier for workflow automation.
AI-assisted reconciliation and workflow automation, Salesforce-first contract intake, complex production insurance workflows, client fund reconciliation, and approval/permissions systems to reduce post-sale operational friction.
Wrapbook'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.