Triagent provides a tri-agent architecture consisting of Strategist, Researcher, and Executor modules. The Strategist breaks down high-level goals into actionable steps, the Researcher retrieves and synthesizes data from documents, APIs, and web sources, and the Executor performs tasks like generating text, creating files, or invoking HTTP requests. Built on top of OpenAI language models and extensible via a plugin system, Triagent supports memory management, concurrent processing, and external API integrations. Developers can configure prompts, set resource limits, and visualize task progress through a CLI or web dashboard, simplifying multi-step automation pipelines.

ChatGPT Deep Research is an AI-driven research agent based on the O3 model designed to complete complex research tasks autonomously. It supports multiple data formats including text, images, PDFs, and social media data, synthesizing information from hundreds of online sources. The tool generates comprehensive, analyst-grade reports with verified data sources, aimed at providing in-depth, professional-quality research outputs within 5-30 minutes, making it a valuable resource for specialized and domain-specific inquiries.

Holistic AI is designed to empower organizations by deploying advanced artificial intelligence technologies that facilitate data-driven decision-making. It streamlines operations through automation, enhances workflows, and provides deep insights, enabling businesses to optimize resources and improve outcomes. With its focus on holistic integration, Holistic AI ensures that various data inputs are synthesized to provide actionable intelligence, aiming to transform how businesses operate in an increasingly complex digital landscape.

ANDRE.ai is an advanced data analysis automation tool designed to simplify the process of extracting insights from complex datasets. By leveraging AI and sophisticated algorithms, it converts tabular data into compelling analysis reports complete with data visualizations and synthesis slides. Users can rely on automated analysis or guide their exploration, ensuring they uncover valuable information and make informed decisions. Built with a user-friendly interface, ANDRE.ai guarantees a seamless experience, focusing on the narratives rather than complicated numbers.

Incribo is a platform that simplifies the creation of high-quality synthetic data for AI model training. It allows users to generate 3D models, audio, and other data types, crucial for various fields like augmentation, gaming, architecture, and product designs. By synthesizing data with real-world variations in features, movements, and expressions, it enhances AI training and reduces the reliance on expensive and time-consuming data collection processes.

Deep Research for Obsidian integrates with OpenAI to power an intelligent research assistant inside Obsidian. It can query academic databases and the web, ingest PDFs and reference metadata, produce concise summaries, highlight missing links in your knowledge graph, and propose an exploration path to further your study. All outputs are stored as markdown notes with citations, allowing seamless integration with your existing note-taking workflow.