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We built Zenith
An AI-powered customer discovery platform that lets founders talk to their ideal customers before they exist. Validate product-market fit by chatting with synthetic personas that think, react, and push back like real prospects.
In the era of rapid development where MVPs ship in weeks and competition is fierce, validating what to build before building it is the greatest differentiator. Zenith saved founders countless hours by confirming customer demand, understanding willingness to pay, and identifying missing market features — all before writing a single line of product code.
From Idea to Validated Product-Market Fit
Our AI-powered process combined synthetic customer intelligence with real-world validation to accelerate the discovery timeline.
Personas evolved
with every interaction
Input Your Idea
Share your product concept and target market
AI Research & ICP
AI agents research and define your ideal customer profile
Synthetic Personas
Chat with AI customers that respond like real prospects
Real Validation
Find and survey real customers to validate insights
Continuous Learning: Validated user behavior reinforced and guided synthetic personas to become more accurate over time
Input Your Idea
Share your product concept and target market
AI Research & ICP
AI agents research and define your ideal customer profile
Synthetic Personas
Chat with AI customers that respond like real prospects
Real Validation
Find and survey real customers to validate insights
Personas evolved
with every interaction
Built With
A full-stack AI platform with 74 API endpoints, real-time database subscriptions, and multi-provider LLM orchestration.
Next.js 15
React 19 + TypeScript
FastAPI
Python 3.12 async backend
Claude AI
Haiku 4.5 structured output
Supabase
PostgreSQL + real-time + auth
Google Cloud Run
Containerized deployment
Vertex AI
Gemini fallback provider
The Team
Built in a weekend. Won the hackathon. Kept building.