Kallo is a collaborative AI platform that integrates multiple leading AI models to provide instant insights and answers based on user-specific document libraries. It enables teams to engage in real-time discussions, compare model responses side-by-side, and maintain ownership of their data without compromising on speed or accuracy.
Funding
$160K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Teams often struggle to efficiently extract insights from large document libraries due to the limitations of individual AI models and the complexities of managing multiple AI tools. Comparing responses from different models can be cumbersome, and ensuring data privacy while leveraging AI for collaboration remains a significant concern.
Solution
Kallo was a collaborative AI platform designed to streamline the process of gaining insights from user-specific document libraries. It integrated multiple AI models, including GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro, within a unified chat interface. The platform enabled real-time team discussions and side-by-side comparison of model responses, facilitating a more comprehensive understanding of the information. Kallo prioritized data ownership and privacy, ensuring that user data was not used for training AI models.
Target Audience
Kallo targeted teams and individuals who need to extract insights from large document libraries, including businesses seeking to empower their staff with AI-driven collaboration tools.
Features
- Integration of multiple leading AI models (e.g., GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro)
- Side-by-side comparison of AI model responses
- Real-time team collaboration features within the AI chat interface
- Personal and team libraries for organizing documents and sources
- Image-to-text scanning for processing notes and documents in image format
- Full-text summaries of uploaded files
- Fast search capabilities across document libraries
- Data privacy measures to prevent user data from being used to train AI models
- API and SDK for integration with existing business systems