Infrabase.ai
AI Infrastructure Stacks
Starting a new project and not sure which tools to pick? Each stack combines tools across categories for a specific use case. Not prescriptions, just starting points with honest trade-offs.
Indie & Early Startup
Free tiers, low cost, fast to ship. For solo devs and small teams who want to move quickly without big budgets.
Explore stack โEU-Sovereign AI
All data stays in the EU. Inference, vector databases, observability, and frameworks from European providers. GDPR-ready by default.
Explore stack โRAG Chatbot
Build a chatbot that answers questions from your own documents. Inference, embeddings, vector storage, and a framework to tie it together.
Explore stack โAI Agents
Agent frameworks, fast inference, observability, and evaluation. For teams building autonomous or semi-autonomous AI systems.
Explore stack โVoice AI
Transcription, text-to-speech, and voice assistants. Build voice features into your product or create standalone audio pipelines.
Explore stack โSelf-Hosted
Everything on your own infrastructure. For teams that want full control over data, models, and deployment.
Explore stack โWhy stacks?
Most AI infrastructure guides compare tools within a single category. That's useful, but it doesn't answer the question developers actually have: "I'm building X, what do I need?"
Stacks connect tools across categories for a specific use case. An inference API alone doesn't do much. Pair it with a framework, a vector database, and observability, and you have a working system.
Every recommendation includes trade-offs. We list what each tool is good at and where it falls short. These are starting points, not final answers. Your project will shape different choices.
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