Q
Qualified builds an agentic marketing platform centered on Piper, an AI SDR designed to autonomously handle inbound engagement and conversion. The tech stack reveals a modern AI-first architecture: Claude, GPT, and Gemini LLMs paired with RAG, deployed on AWS with Ruby on Rails and React. Active hiring across sales (10 roles) and product (8) indicates a go-to-market push, while the project list signals aggressive LLM integration and Salesforce ecosystem expansion—Qualified is cementing itself as an embedded AI layer for demand-gen teams rather than a standalone chat tool.
Tech Stack 36 technologies
Core StackDatadog Sentry Salesforce Ruby on Rails JavaScript Python Go Zoom Java RAG PostgreSQL React AWS Gong Gainsight ZoomInfo GPT Claude Gemini Webex HTML CSS SQL Outreach Domo LeanData Vanta SimilarWeb Apollo Microsoft Office+3 more
What Qualified Is Building
◆Challenges
- Improving inbound pipeline efficiency
- Increasing lead conversions
- Achieving renewal targets
- Generating more meetings
- Scaling highly-available services
- Modernizing native integrations
- Scaling enterprise-grade platform
- Scaling high-traffic services
- Integrating llms into product
- Cost efficiency
▲Active Projects
- Llm integration into product offerings
- Pipelineai platform development
- High-traffic service scaling
- Qualified data model
- Qualified implementation framework
- Building apis and native workflows
- Extensibility strategy and execution
- Strengthening salesforce integration
- Mission-critical application development
- Ai core roadmap integration
Hiring Activity
Steady40 roles · 15 in 30d
Department
Seniority
Company intelligence
