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Laurel Tech Stack

AI time tracking platform for professional services firms

Software Development San Francisco, California 51–200 employees Founded 2018 Privately Held
laurel.ai LinkedIn

Laurel automates time capture and analysis for accounting, consulting, and law firms. The stack reveals a modern data and automation architecture—Kafka adoption signals a shift toward event-driven systems, while heavy investment in agentic workflows (n8n, Cursor, LLM feature work) and SAP/Boomi integration suggests Laurel is moving beyond simple time entry into automated workflow orchestration. Engineering-heavy hiring (7 of 16 open roles) paired with active projects in AI agent deployment and event-driven architecture indicates rapid technical expansion.

Tech Stack 31 technologies

Core Stackn8n Cursor AWS Kubernetes Python Django Apache Airflow MongoDB PostgreSQL ClickHouse Docker Asana SAP S/4HANA Slack Zoom Okta Terraform Go TypeScript Salesforce HubSpot Gong Replit Microsoft Planner SAP BTP Boomi Azure Entra ID Outreach Ironclad Sales Navigator
AdoptingKafka

What Laurel Is Building

◆Challenges

  • Capturing work time data
  • Productivity per headcount
  • Improving client delivery
  • Optimizing time usage
  • Campaign cycle compression
  • Content velocity
  • Maximizing net revenue retention
  • Agentic workflow support
  • Integration failures
  • Data discrepancies

▲Active Projects

  • Ai agent deployment
  • Abm enrichment workflow design
  • Content ops tool prototyping
  • Drive soc 2 readiness
  • Modern event-driven architecture migration
  • Worldclass ai platform development
  • Agentic workflow platform
  • Llm heavy feature integration
  • Enterprise customer onboarding and implementation
  • Laurel tenant and boomi atom deployment

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Engineering
7
Support
3
Data
2
Marketing
2
Legal
1
Product
1

Seniority

Senior
6
Staff
5
Mid
4
Manager
1
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About Laurel

Laurel is an AI time-tracking platform built for professional services firms—accounting, consulting, and law practices. Founded in 2018 and based in San Francisco, the company helps these organizations capture work time automatically, connect time data to revenue and profitability metrics, and optimize resource allocation. The platform integrates with enterprise systems (SAP, Salesforce, HubSpot) and spans time capture, analytics, and business intelligence workflows. Current focus areas include enterprise onboarding, SOC 2 compliance, and agentic workflow capabilities to reduce manual time entry friction.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2018
Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Laurel use?

Core: Python, Django, PostgreSQL, MongoDB, ClickHouse. Data: Apache Airflow, Kafka. Infrastructure: AWS, Kubernetes, Docker, Terraform. Integrations: SAP S/4HANA, SAP BTP, Boomi, Salesforce, HubSpot. Automation: n8n, Replit, Cursor. Workflow: Gong, Outreach, Slack, Zoom.

What is Laurel working on?

Core projects: AI agent deployment, agentic workflow platform, LLM-heavy feature integration, event-driven architecture migration. Go-to-market: ABM enrichment workflows, content ops tooling. Operations: SOC 2 readiness, enterprise customer onboarding, Boomi/SAP tenant deployment.

How this profile is built

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.