Claude Science
Claude Science is an AI-powered scientific research application that helps researchers perform data analysis, literature review, computational workflows, and manuscript preparation within a single environment. Built on Claude models, the application integrates scientific databases, research tools, electronic lab notebooks, HPC systems, and domain-specific software to support end-to-end research workflows. It manages computational environments across local machines, Linux systems, and high-performance computing clusters while maintaining reproducible records of every analysis. Researchers can generate publication-quality figures, perform complex analyses, and trace every result back to the underlying code, environment, and conversation. Claude Science also supports specialized fields including genomics, proteomics, single-cell biology, structural biology, and cheminformatics through preconfigured scientific capabilities.
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Kosmos
Kosmos is the next-generation “AI Scientist” developed to perform autonomous discovery by reading vast amounts of scientific literature and executing code to reach novel conclusions. It uses structured world models to efficiently incorporate information gathered over hundreds of agent trajectories and maintain coherence throughout tens of millions of tokens, thereby transcending the context-length limits of earlier language-model-based tools. A typical Kosmos run might read about 1,500 papers and execute 42,000 lines of analysis code, enabling it to perform in one day what beta users estimated would take a human scientist six months. Its outputs are fully traceable; each conclusion in a Kosmos report can be linked to the specific lines of code and passages in the literature that inspired it, allowing for full auditability of its reasoning.
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Acade
Acade is an AI research co-scientist who starts with a research question and turns it into a structured, verifiable research loop. It helps researchers map literature, propose traceable hypotheses, plan experiments, interpret results, and turn the full path into an evidence-backed report while keeping the scientist in control. It is built for human-in-the-loop research, supporting users as they search, compare, critique, and document evidence without replacing scientific judgment. Acade begins with research question intake, capturing the domain, goal, constraints, files, assumptions, and expected decision before the agent starts. It can organize relevant papers, claims, methods, debates, and research gaps into a literature-grounded map while preserving source provenance. It also generates hypothesis cards that compare evidence, counter-evidence, novelty, feasibility, and risk, helping researchers review candidate ideas before execution.
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Perplexity Computer
Perplexity Computer is an AI-powered super agent designed to autonomously complete complex digital tasks from start to finish. Users simply describe the outcome they want, and the system breaks the request into structured subtasks executed by specialized AI models. It can build websites, generate reports, compile datasets, and create multimedia content with minimal manual input. The platform dynamically selects the most suitable AI models for each component of a project, optimizing for research, images, video, or quick searches. Designed for extended autonomous operation, it can run workflows for hours or longer without interruption. By abstracting away technical complexity, it transforms high-level intent into fully executed results. Perplexity Computer streamlines advanced AI capabilities into a single, outcome-focused interface.
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