This platform enables organizations to build and deploy private, customizable small language models using their own data for enhanced security and explainability. It features a document management system supporting diverse file types and offers AI deep search capabilities via vector retrieval across large corpora. The service provides comprehensive tracking for multi-LLM costs, usage, and user permissions within a controlled environment.
Funding
Funding not disclosed
Founders
Product
Problem
Students and researchers often struggle to understand complex academic papers due to unfamiliar technical terms and jargon. This requires them to spend significant time on external research, disrupting their reading flow and hindering comprehension.
Solution
Decipher Something is an AI-powered tool that provides instant, expert-verified definitions and explanations of technical terms directly within academic papers. By highlighting jargon and offering contextual insights, it reduces the need for external research and enables a deeper understanding of complex concepts. The platform uses GenAI to generate definitions, which are then reviewed by subject-matter experts to ensure accuracy. This approach allows users to quickly grasp the meaning of unfamiliar terms, improving reading speed and comprehension.
Target Audience
The primary users are students, researchers, and instructors in scientific fields who need to quickly understand complex academic papers.
Features
- Intelligent highlighting of technical terms and jargon within academic papers
- AI-generated definitions and explanations, verified by experts
- Contextual insights tailored to the specific paper being read
- User-friendly interface for easy access to definitions
- Integration of video explanations for complicated methods