Forma.ai builds sales performance management software that ties territory and quota planning to incentive compensation. Its stack pairs Apache Spark, Databricks and Snowflake with Python, Scala and Go on AWS and Kubernetes, pointing to a data-engineering-heavy commission engine. Hiring leans toward ops and sales over engineering, and job posts flag high ACV deals and long sales cycles, so go-to-market scaling is now the main pressure.
Forma.ai is a Toronto-based, privately held software company founded in 2016. It sells a sales performance management platform that unifies sales planning with incentive compensation management, covering territories, quotas and commission plans in one data model. Its buyers are sales leaders, revenue operations teams and compensation teams at organizations with complex incentive structures. The company has 51–200 employees and currently hires in Canada.
Forma.ai uses Python, Java, Scala, Kotlin, Go and Django on the backend, React and TypeScript on the frontend, and Apache Spark, Databricks, Snowflake and PostgreSQL for data, running on AWS with Kubernetes, Docker and Terraform.
Job posts point to commission engine architecture, Spark-based data pipelines, policy-driven automation, automated reporting for customers and data quality observability, alongside outbound pipeline building.
Forma.ai is headquartered in Toronto, Ontario, Canada. It has 51–200 employees, was founded in 2016, and currently hires in Canada.
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Forma.ai'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.
