narbl team member with data

narbl

A multi-LLM chatbot/fact checker that allows users to query multiple AI models simultaneously for emergency verification when time is critical.

What is narbl?

narbl is an advanced multi-LLM fact checker that allows users to query multiple language models simultaneously through a "bring your own API key" approach. It's designed for emergency situations when you need to verify information quickly and cannot afford to lose time.

Unlike traditional chatbots that rely on a single language model, narbl lets you choose which LLMs to query, then aggregates their responses using another LLM of your choice, providing comprehensive verification from multiple AI perspectives.

The intuitive interface clearly shows responses from each model side by side, making it easy to compare answers and identify discrepancies. In this example, you can see responses from Google Gemini and OpenAI models with an aggregator that synthesizes the results.

1

Multi-LLM Architecture

Query multiple language models simultaneously and compare their responses for thorough fact-checking.

2

User-Selected Models

Choose which LLMs to query and which model to use for aggregating the responses.

3

Bring Your Own API Keys

Use your own API keys for various language models, maintaining control and privacy.

narbl interface showing multi-LLM responses

Key Features

Emergency Fact-Checking

Quickly verify critical information when time is of the essence by consulting multiple AI models at once.

Response Aggregation

Automatically compile and analyze responses from different LLMs using another model of your choice.

Model Comparison

Easily compare how different language models respond to the same query to identify consensus or disagreement.

Cost-Effective

Optimizes model usage to balance performance and cost, making advanced AI capabilities accessible to individuals and organizations of all sizes.

Customizable

Easily adaptable to specific use cases and requirements, allowing users to tailor the chatbot to their needs.

Extensible

Designed to be easily extended with new models, capabilities, and integrations, ensuring it can grow and evolve with user needs.

Use Cases

Emergency Verification

Quickly verify critical information during emergencies when accuracy is essential and time is limited.

narbl multi-LLM interface

Research Validation

Cross-check research findings across multiple AI models to ensure accuracy and identify potential biases.

Education use case

News Fact-Checking

Verify breaking news by comparing how different language models interpret and respond to the same information.

Customer support use case

Content Creation

Use narbl to help generate ideas, draft content, and provide feedback for blog posts, social media, and other creative projects.

Content creation use case

Research

Accelerate research by using narbl to find information, summarize articles, and generate insights from large amounts of data.

Research use case

Programming

Get help with coding tasks, debugging, and learning new programming languages with narbl's programming expertise.

Programming use case

Ready to try narbl?

Join our early access program to be among the first to experience narbl and help shape its future.