Meet your new AI lead assistant.
Understand every enquiry, qualify the right opportunities and help your team move faster without manually handling every conversation.
Try it on Northlane Studio, a sample business, then open the dashboard to see the lead arrive.
What are you planning to build?
An MVP for a tutoring marketplace. Budget $15,000, launch in eight weeks.
That sounds like a great fit. May I have your name and email?
Lead intelligence
Project
Tutoring marketplace MVP
Budget
$15,000
Timeline
8 weeks
Service
MVP development
Qualified
More than a chatbot: a first point of contact for every enquiry.
Understand
The assistant understands visitors and their business needs, and asks one or two relevant questions at a time.
Qualify
It evaluates prospects against configurable business rules: service fit, minimum budget, timeline and required details.
Capture
It saves structured lead information for the business, with every update and decision recorded on a timeline.
Take action
It helps arrange discovery calls and prepares follow-up messages that wait for a person's approval.
How an enquiry flows
- 01Visitor
- 02AI assistant
- 03Qualification
- 04Lead management
- 05Founder review
Built on a real, tested stack
Every number and status you see comes from the backend: the assistant's replies, the qualification rules, the fit score and the dashboard. Integrations that aren't built are labelled as such.
See how it works- Interface
- Next.js 16 · React 19 · Vercel AI SDK streaming
- Backend
- Python · FastAPI · custom tool-calling loop
- AI models
- Open-weight gpt-oss-120b and gpt-oss-20b on Groq · Llama Prompt Guard 2
- Data
- PostgreSQL 16 · SQLAlchemy · Alembic
- Quality
- 200+ automated tests · 45-case evaluation set · Langfuse tracing