Yescribe.ai is an AI-driven transcription tool that converts audio and video content into text with incredible accuracy (99.9%). It supports over 98 languages, providing users with the ability to transcribe diverse content like podcasts, meetings, and videos swiftly. The service is ideal for businesses, students, and content creators, ensuring that all spoken words are captured and documented accurately, which then can be utilized for research, archiving, or creating subtitles. Users can easily download transcripts in various formats, streamlining their workflow and enhancing productivity.

ThesisAI is the world's first AI-powered assistant capable of drafting a complete scientific document based on a single prompt. It can generate documents up to 50 pages long. The platform supports native LaTeX and Overleaf integration for manual editing. Users can upload up to 100 reference papers for citations. ThesisAI offers outputs in various formats, including PDF, LaTeX, and BibTeX, making it a comprehensive tool for researchers and students needing thorough and citation-rich scientific documents.

Audio2Doc is a cutting-edge tool designed to convert podcasts, interviews, meetings, and other audio content into structured documents quickly and accurately. Utilizing advanced AI and natural language processing, Audio2Doc ensures the generated text is coherent, making it perfect for professionals who need to document verbal communications efficiently. This tool is especially useful for content creators, business professionals, journalists, and researchers who need to maximize their productivity and keep thorough records of their audio materials.

Multi-Agent AI Researcher provides a modular, extensible framework where users can configure and deploy multiple AI agents to collaboratively tackle complex scientific inquiries. It includes a hypothesis generation agent that proposes research directions based on literature analysis, an experiment simulation agent that models and tests hypotheses, a data analysis agent that processes simulation outputs, and a drafting agent that compiles findings into structured research documents. With plugin support, users can incorporate custom models and data sources. The orchestrator manages agent interactions, logging each step for traceability. Ideal for automating repetitive tasks and accelerating R&D workflows, it ensures reproducibility and scalability across diverse research domains.