AI Automation · Full Stack · Apps
Building AI MVPs: From Idea to Production in Weeks
Ship your first AI product fast. LangChain, RAG, vector DBs - we handle the complexity.
Building AI products is hard. The tooling changes weekly, hallucinations are real, and production-grade AI requires expertise that's rare to find. We've shipped 30+ AI MVPs for startups and enterprises, turning ideas into revenue-generating products in weeks, not months.
What We Build
RAG Applications
Chat with your docs, knowledge bases, and internal data using retrieval-augmented generation
AI-Powered SaaS
Full products with auth, billing, and AI features that customers pay for
Internal AI Tools
Custom GPTs, document processors, and automation tools for your team
AI Integrations
Add AI capabilities to your existing products seamlessly
Our Tech Stack
LangChain
Framework for LLM applications
OpenAI / Anthropic
GPT-4, Claude for reasoning
Pinecone / Weaviate
Vector databases for RAG
Next.js / React
Modern frontend frameworks
Python / FastAPI
Backend AI pipelines
Vercel / AWS
Production hosting
Our Development Process
Discovery (Week 1)
Understand your use case, define MVP scope, choose the right AI approach
Prototype (Week 2-3)
Build working prototype with core AI features, iterate based on feedback
Production (Week 4-6)
Add auth, billing, polish UI, optimize performance, deploy to production
Case Study: B2B Support AI
Enterprise SaaS
Support team overwhelmed with 500+ tickets/day, 4-hour response time
Built RAG chatbot trained on docs + past tickets. Auto-resolves L1 queries.
40% reduction in support tickets. Response time dropped to instant for common queries.
Ready to Build Your AI Product?
Let's turn your AI idea into a working product. Free consultation included.
Start BuildingWant this built for you?
Book 30 minutes with the owner. Bring the problem — we’ll tell you straight whether it’s worth building and what it takes.