Surveynomous
activeAI-native autonomous survey & analytics platform. Converts business goals into structured surveys using LLM orchestration, then builds a semantic insight layer on responses with RAG-based analytics.
What is Surveynomous?
Surveynomous is an AI-native autonomous survey and analytics platform. It takes business goals as input and autonomously generates structured, high-quality surveys using LLM orchestration.
But the real power lies in what happens after responses come in — the platform builds a semantic insight layer on top of survey responses using RAG-based analytics. Instead of manually sifting through responses, you get structured, meaningful insights that are semantically linked to your original business goals.
How it works
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Define your goal — Tell Surveynomous what you want to learn. It could be anything from customer satisfaction to product-market fit analysis.
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AI generates the survey — Using LLM orchestration, the platform creates a structured survey tailored to your specific goal. Questions are designed to elicit meaningful, actionable responses.
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Collect responses — Share the survey and collect responses as you normally would.
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Semantic analysis — This is where the magic happens. Responses are embedded into a vector database, and RAG pipelines extract structured insights that directly map back to your original business goals.
Tech Stack
The frontend is built with Vue.js and Nuxt for a fast, server-rendered experience. The backend combines Python for AI/ML workloads and Node.js for API services. We use multiple LLMs for different orchestration tasks, Vector DBs for response embeddings, and custom RAG pipelines for the analytics layer.
Changelog
- •RAG-based analytics engine for semantic insights
- •Multi-model LLM orchestration for survey generation
- •Vector DB integration for response embedding
- •Initial launch with AI-powered survey creation
- •Automated response analysis and reporting
- •Business goal to survey conversion pipeline