Startups · Case study
AI-Native SaaS MVP
AI-first B2B SaaS from discovery to production—agents, vector search, and a path to scale without overbuilding.
Outcome: 10 weeks to AI-ready launch
The challenge
Founders needed an investor-ready AI product fast, without locking into brittle prompts or a stack that could not grow past the pilot.
Our solution
We shipped a thin vertical slice: Next.js product UI, FastAPI services, LangGraph agents, Qdrant retrieval, and OpenAI reasoning—with analytics, auth, and a clear backlog for v1.1. Architecture stayed lean but production-grade on AWS.
Results
- AI-ready production launch in about 10 weeks
- First pilot customers onboarded on schedule
- Agent workflows observable and iterable
- Codebase ready for the next engineering hires
Tech stack
Core technologies used on this engagement.
Next.js
TypeScript
FastAPI
Python
OpenAI
LangGraph
Qdrant
PostgreSQL
AWS
Tailwind CSS
Services involved
Capabilities that powered this delivery.
AI & Intelligent Solutions
Voice agents, agentic RAG, document intelligence, and automation built for real workflows.
Learn moreWeb & Mobile Applications
Responsive web and mobile experiences that engage users and convert.
Learn moreIT Consulting & Digital Transformation
Strategy and roadmaps that turn technology investments into outcomes.
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