Product tours & onboarding

NINA tech stack

Guide users step by step inside your product.

Checked Sep 2026

The stack

“We use multiple LLMs in our system, and OpenAI is one of them. Our architecture is model-agnostic, allowing us to switch or combine LLMs as needed while maintaining performance, reliability, and flexibility across deployments.” — the maker, Dec 2025 ↗

“We use AWS Cloud along with AWS Transcribe and AWS Bedrock for our core infrastructure. These services give us reliable performance, scalability, and cost efficiency. We considered other transcribe services from Google, Azure too, but AWS was one better.” — the maker, Sep 2026 ↗

“We use Google Text-to-Speech for generating natural, high-quality voice output” — the maker, Sep 2026 ↗

“Azure as a secondary cloud provider for redundancy and fallback. Azure helps us optimize costs, ensure high availability, and maintain resilience across critical workloads.” — the maker, Sep 2026 ↗

Built on a similar stack

Products that share the most distinctive building blocks with NINA.