Fieldy vs ElevenLabs vs RequirementsAI: Which Artificial General Intelligence (AGI) tool is Best in 2025?

Fieldy is a wearable AI note-taker designed to help users effortlessly capture and organize their conversations. The device, often described as a necklace, leverages advanced AI to record discussions, transcribe them into text, and generate summaries and reminders. This functionality is particularly beneficial for executives in back-to-back meetings, professionals managing multiple tasks, and individuals with neurodiversity seeking support for memory challenges. The device's hands-free operation allows users to focus on their interactions without the distraction of manual note-taking, enhancing presence and engagement.

ElevenLabs is a software company founded in 2022 by Piotr Dąbkowski and Mati Staniszewski, specializing in developing natural-sounding speech synthesis software using deep learning. The company has raised significant funding, with a Series B round in January 2024 valuing it at $1.1 billion, backed by investors like Andreessen Horowitz and Sequoia Capital. ElevenLabs is known for its realistic and expressive AI voices, powering applications for millions of creators, developers, and enterprises. Their flagship product, Eleven v3 (alpha), is described as the most expressive text-to-speech (TTS) model, capable of delivering human-like speech with emotions, accents, and multilingual support. The platform also offers speech-to-text (STT), voice changer, conversational AI, dubbing, voice cloning, and ElevenReader, an app for reading text aloud. The company’s technology is used for audiobooks, video voiceovers, podcasts, customer service, and accessibility, making content universally accessible in any language and voice.

RequirementsAI is an AI-powered tool that converts meeting transcripts into structured, actionable engineering requirements in seconds. It intelligently extracts key decisions, constraints, and actions from discussions, transforming them into formal formats such as INCOSE-compliant 'shall' statements, Behavior-Driven Development (BDD) scenarios, and agile User Stories. This automation helps engineers focus on core tasks rather than paperwork, addressing the challenge of losing critical details in long, chaotic meetings.