Lassie automates back-office work for independent medical practices—claims processing, payment reconciliation, denial handling—using Python, Django, and Pydantic AI on a PostgreSQL + GCP stack. The hiring mix (heavy on sales and ops, with concurrent security scaling) and active projects (pricing design, sales commission structure, live workflows, threat-modeling) reveal a company moving from product-market fit into revenue operations and security hardening as it scales customer onboarding.
Tech Stack 14 technologies
Core StackPython Django PostgreSQL Redis TypeScript React Tailwind CSS Vercel Slack Pydantic AI GCP Linear Notion SQLite
What Lassie Is Building
◆Challenges
- Building financial operations from scratch
- Transitioning founder-led finance to world-class function
- Scaling finance infrastructure
- Reducing churn risk
- Expanding product usage
- Reducing busywork for doctors' offices
- Getting doctors' offices live
- Protecting customer data
- Ensuring trust in critical workflows
- Enabling rapid development while secure
▲Active Projects
- Ai-native finance infrastructure
- Pricing structure design
- Sales commission design
- Demand generation outreach for doctors' offices
- Implementing live workflows
- Improving processes from customer issue patterns
- Core security systems for access control, audit logs, data protection, monitoring, incident readiness
- Threat-modeling new agent workflows
- Building secure sync engine
- An effortless onboarding experience for doctors
Hiring Activity
10 roles · 8 in 30d
Department
Seniority
Notable leadership hires: Growth Lead
Company intelligence