From Concept to Production GenAI SaaS Platform in 8 Weeks
How a US-based startup launched an LLM-powered document intelligence product with enterprise-grade security and scalability.
The Challenge
A Series-A funded US SaaS startup had a compelling idea for an AI-powered document intelligence platform but lacked AI engineering expertise to build it. They needed a full-stack GenAI team to architect, build, and deploy a production-ready product — fast, before their competitors.
- ✕No in-house AI/ML team to execute the GenAI product vision
- ✕Strict enterprise security requirements (SOC 2, data isolation)
- ✕Required multi-tenant architecture supporting 100+ enterprise clients
- ✕Tight 8-week runway to launch for a key enterprise pilot
Solution Architecture
Document upload → S3 → Custom chunking pipeline → Pinecone vector store → RAG query engine (LangChain + GPT-4o) → REST API → React frontend → AWS ECS (auto-scaling) → CloudWatch monitoring.
Client Testimonial
We had a vision but no AI team. Zgrow became our engineering partner and shipped a production-grade GenAI platform in 8 weeks. They understood both the technology and the business. We closed 12 enterprise deals at launch — that speaks for itself.
🛠 Tech Stack Used
Want Similar Results?
Let's discuss how we can deliver this for your business.
Book Free Consultation