Bravos AI VS Diffyn

Bravos AI's answer

Bravos AI combines RAG with structured data queries — your chatbot can filter product catalogs by price, location, or any column and return specific results, not just generic text. Most chatbot builders only do basic Q&A from documents. Bravos AI treats your data like a real database, so visitors can ask things like "apartments under 400k in Madrid with a pool" and get exact matches.

Diffyn's answer:

Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.

Bravos AI's answer

It's simple. Bravos AI is not a full support platform with ticketing, live agents, and dozens of modules you'll never use. It's a chatbot that does one thing really well: answer your customers' questions using your own data. What sets it apart is that it can query structured data like a database — filter product catalogs by price, location, features, or any column — something most chatbot builders simply can't do. Setup takes minutes, no coding needed, and there's a free plan to start.

Diffyn's answer:

Diffyn is the platform that specializes on both change management and multi-model analysis.

Bravos AI's answer

Python backend, PostgreSQL with vector search for RAG, SQL filtering for structured data queries (catalogs, inventories, product databases), OpenAI GPT models for generation, and Next.js for the frontend. The chatbot uses RAG to search your content before answering and can query structured data like a database — filtering by price, location, or any column to return exact matches.

Diffyn's answer:

React, Next.js, POSTGRESQL

Bravos AI's answer

Small and medium businesses that need 24/7 multilingual customer support without hiring more staff — especially real estate agencies, e-commerce stores, hospitality businesses, and service companies with product catalogs or FAQs.

Diffyn's answer:

Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.

Bravos AI's answer

Bravos AI started in real estate on Spain's Costa del Sol, where agencies serve international clients who speak dozens of languages and browse properties at all hours. Support teams can't cover every language or work around the clock. The founder saw firsthand that intelligent chatbots existed — but only for large companies with technical teams and big budgets. So he built a platform where any business can create an enterprise-level RAG chatbot in minutes, no coding needed. What began as a solution for multilingual real estate is now used across industries.

Diffyn's answer:

I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.

Bravos AI's answer

• Ooh Advisor
• AlquiConfort
• GN Real Estate