AI Startup Tech Stack 2025

A comprehensive guide to building modern AI-powered startups with the right technology choices.

🧠 AI/ML Layer

• Models: OpenAI GPT-4, Anthropic Claude, Llama 2
• Frameworks: LangChain, Haystack, Semantic Kernel
• Vector DBs: Pinecone, Weaviate, Chroma
• MLOps: Weights & Biases, MLflow, Neptune

🌐 Backend & API

• Runtime: Node.js, Python (FastAPI), Go
• Database: PostgreSQL + pgvector, MongoDB
• Caching: Redis, Memcached
• Queue: Bull, Celery, Apache Kafka

🎨 Frontend & UI

• Framework: Next.js, SvelteKit, Nuxt.js
• Styling: TailwindCSS, shadcn/ui
• State: Zustand, Pinia, SWR
• AI UI: Vercel AI SDK, Streamlit

🚀 Deployment & Infrastructure

• Platform: Vercel, Railway, Fly.io
• Containers: Docker, Kubernetes
• Monitoring: Sentry, LogRocket, Datadog
• Analytics: PostHog, Mixpanel, Amplitude

💰 Estimated Monthly Costs

• MVP: $200-500/month
• Growth: $1,000-5,000/month
• Scale: $10,000+/month

This stack is battle-tested by successful AI startups in 2025.