Built for Researchers

Run conversational AI studies at scale

Gricea gives researchers a complete platform to design, deploy, and analyze human-AI interaction studies—no engineering team required.

How it works

From study design to data export in four steps.

Define your research flow with surveys, tasks, and conditions.

Set up LLM prompts, RAG collections, and interaction modes.

Generate invite links with optional participant caps.

Review analytics, download data, and replay sessions.

A full-stack research platform designed specifically for conversational AI studies.

Build complex multi-step studies with a visual flow editor. Define branching logic, randomization, and within/between-subject conditions.

Embed LLM-powered chat tasks, RAG retrieval, voice interactions, and web search—all configurable without code.

Upload your own document collections for retrieval-augmented generation. Control bias, topic, and metadata filtering dynamically.

Track participant progress, completion rates, and survey responses in real time. Export full event logs for offline analysis.

Manage invitations with usage limits, monitor individual participant journeys, and replay session transcripts step by step.

Publish studies and RAG collections to the community. Fork others' work as a starting point and share aggregate insights.

Chat & Voice

LLM + WebRTC voice tasks out of the box

Real-time

Live participant monitoring and event streaming

Your data

Bring your own OpenAI key and MongoDB URI

Create a free researcher account and launch your first study in minutes.