Telli builds an AI phone system using Twilio, Node.js, and TypeScript to automate high-volume customer calls. The stack reveals a product-led engineering approach: they layer n8n and Zapier for workflow automation on top of voice infrastructure, paired with React frontends and PostgreSQL persistence. Active hiring is concentrated in ops and marketing (7 of 12 roles), suggesting a shift from engineering validation toward scaling go-to-market—a common pattern for voice/AI products moving from MVP to customer traction.
Tech Stack 14 technologies
What telli Is Building
◆Challenges
- Reliance on low-quality outsourced call centers
- Difficulty scaling high-quality customer experience
- High volume of calls causing inefficiency
- High-volume repetitive calls
- Scaling voice support for businesses
- Long waiting queues
- Unhelpful support agents
- Endless hold music
- Voice scaling challenges
▲Active Projects
- Ai-native operating system
- Build repeatable marketing playbook
- Internal tools for scaling
- Customer onboarding and expansion
- Custom solutions for clients
- Internal tooling improvement
- Creating telli’s gtm engine
- Building processes with ai automation-first approach
- Automation-first core business processes
- Intuitive user experiences for ai-first world
Hiring Activity
Steady10 roles · 4 in 30d
Department
Seniority
Company intelligence
