AI-era FP&A platform for planning, forecasting and financial analysis
Cube sells FP&A software that lets finance teams plan and analyze inside spreadsheets, web and chat, built on Python/Django, PostgreSQL, ClickHouse and AWS. Its stack lists legacy planning suites like Anaplan, Adaptive Insights, OneStream, Planful and Hyperion, pointing to integration or displacement plays against incumbents. Current hiring is entirely sales and includes a VP, with projects focused on building an enterprise go-to-market motion and sales playbook.
Cube is a privately held financial planning and analysis company headquartered in New York, with 51–200 employees. Its platform supports budgeting, forecasting, headcount planning, financial analysis and close workflows for FP&A teams. Users can work in Excel, Google Sheets, a web app or chat interfaces. The product backend runs on Python, Django, PostgreSQL, ClickHouse, Redis and Celery on AWS, while the commercial team uses Salesforce, HubSpot and Gong.
Cube's stack includes Python, Django, Django REST Framework, PostgreSQL, MySQL, ClickHouse, Redis, RabbitMQ, Celery and AWS services like RDS and SQS, with Datadog, Mixpanel, Salesforce, HubSpot and Gong.
Yes. Cube's current hiring is concentrated in sales, spanning junior, senior and VP levels, with openings in Canada and hiring velocity accelerating.
Cube is headquartered in New York, New York, United States, and is a privately held company with 51–200 employees.
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Cube'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 →
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