Laurel builds AI that automatically captures and analyzes work time for accounting, consulting and law firms. An SAP S/4HANA, SAP BTP and Boomi footprint, with Boomi actively being adopted, points to deep ERP and billing integration work as the product moves into enterprise systems. Sales leads the hiring mix, backed by projects to standardize GTM hiring and ramp programs, which signals a push to scale the revenue org.
Laurel is a San Francisco-based, privately held software company founded in 2018. It sells an AI time platform to professional services firms, primarily in accounting, consulting and legal, automating time entry and tying time data to profitability and client delivery. The company has 51–200 employees and hires in the United States. Its engineering stack runs on Python, TypeScript, Go and Django over AWS and Kubernetes, with PostgreSQL, MongoDB and ClickHouse for data.
Laurel uses Python, TypeScript, Go and Django on AWS with Kubernetes, Docker and Terraform, plus PostgreSQL, MongoDB, ClickHouse, Apache Airflow and ThoughtSpot. Business systems include Salesforce, HubSpot, Gong and SAP S/4HANA.
Yes. Sales is the largest area of Laurel's current hiring, alongside engineering and marketing, with roles based in the United States and a focus on building out the GTM organization.
Laurel's projects include a Boomi process integration, a billing system transition, an analytics data warehouse with ThoughtSpot dashboards, ROI analyses, and scaled GTM hiring and new hire ramp programs.
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Laurel'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.
