Laurel Tech Stack

AI-powered time tracking and analysis for professional services

Software Development San Francisco, California 51–200 employees Founded 2018 Privately Held

Laurel automates time entry for accounting, consulting, and law firms using Claude and a Python/Django stack deployed on AWS and Kubernetes. The engineering-forward hiring mix (3 engineers, 2 data, 3 ops/support roles) paired with active projects around AI agent deployment, analytics foundations, and data pipeline scaling reveals a company maturing from product-market fit into operational efficiency — shifting focus from capturing time data toward extracting business value through retention models, churn prediction, and AI-driven optimization.

Tech Stack 18 technologies

Core StackPython n8n Cursor AWS Kubernetes Django Apache Airflow MongoDB PostgreSQL ClickHouse Docker Terraform Go TypeScript SQL Claude Replit

AdoptingKafka

What Laurel Is Building

◆Challenges

Customer churn risk
Capturing uncollected work activity data
Optimizing time usage
Increasing productivity per headcount
Supporting growing user base
Improving support experience
Optimizing ai agents
Migrating legacy event processing
Scaling data pipelines for millions of events
Improving ai infrastructure serving

▲Active Projects

Post-sales relationship management
Customer onboarding and education
Renewal management
Analytics foundation for product decisions
Canonical datasets in analytics data warehouse
Core funnels and retention models
Ai agent and automation deployment
End-to-end ai initiative rollout
Ai adoption playbook creation
Help center articles

Hiring Activity

Accelerating10 roles · 8 in 30d

Department

Engineering

Ops

Support

Data

Seniority

Junior

Senior

Staff

Mid

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About Laurel

Laurel builds an AI time-tracking platform for professional services firms, automating work-hour capture and connecting time data to profitability and client delivery metrics. Founded in 2018 and based in San Francisco, the company serves large accounting, consulting, and law firm customers. The platform handles millions of events across time entry, analytics warehousing (ClickHouse), and a growing suite of AI agents powered by Claude. Current operational priorities include scaling data pipelines, improving customer onboarding and renewal management, and expanding AI infrastructure to support broader adoption across the customer base.

HeadquartersSan Francisco, California

Company Size51–200 employees

Founded2018

Hiring MarketsUnited States, Canada, Brazil

Frequently Asked Questions

What tech stack does Laurel use?

Laurel uses Python, Django, PostgreSQL, and MongoDB for core application logic, deployed on AWS with Kubernetes orchestration. Analytics run on ClickHouse. Claude powers AI features, with n8n handling automation workflows and Apache Airflow managing data pipelines.

What is Laurel working on?

Laurel is focused on AI agent and automation deployment, building analytics foundations for product decisions, scaling data pipelines for millions of events, and improving customer retention through churn models and renewal management workflows.