Alternatives to Kosmos

Compare Kosmos alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Kosmos in 2026. Compare features, ratings, user reviews, pricing, and more from Kosmos competitors and alternatives in order to make an informed decision for your business.

  • 1
    GPT-Rosalind
    GPT-Rosalind is a purpose-built frontier reasoning model developed by OpenAI to accelerate scientific research across biology, drug discovery, and translational medicine. It is designed specifically for life sciences workflows, where researchers must navigate large volumes of literature, experimental data, and specialized databases to generate and validate new ideas. It combines deep domain understanding in areas such as chemistry, genomics, protein engineering, and disease biology with advanced tool-use capabilities, allowing it to interact with scientific databases, analyze experimental outputs, and support complex, multi-step reasoning tasks. It can assist with evidence synthesis, hypothesis generation, literature review, sequence interpretation, and experimental planning, helping scientists move faster from raw data to actionable insights. GPT-Rosalind transforms complex, time-intensive research processes into more efficient AI-assisted workflows.
  • 2
    Edison Scientific

    Edison Scientific

    Edison Scientific

    Edison Scientific is an AI platform designed to automate and accelerate scientific research, enabling users to move from hypothesis to validated results within a single environment. The platform integrates literature synthesis, data analysis, and molecular design workflows, allowing research teams to complete end-to-end scientific investigations at dramatically increased speed. At its core is Kosmos, an autonomous research system that performs hundreds of research tasks in parallel, transforming multimodal datasets into comprehensive reports with validated findings and publication-ready figures. Kosmos synthesizes scientific literature, public databases, and proprietary datasets, identifies novel therapeutic targets, uncovers biological mechanisms, and supports the iterative design and optimization of molecular candidates. Validated in real research settings, Kosmos has demonstrated the ability to achieve results that typically require months of human effort in a single day.
    Starting Price: $50 per month
  • 3
    Edison Analysis

    Edison Analysis

    Edison Scientific

    Edison Analysis is a next-generation scientific data-analysis agent built by Edison Scientific. It is the analytical engine underpinning their AI Scientist platform, Kosmos, and it’s available both on Edison’s platform and via API. Edison Analysis performs complex scientific data analysis by iteratively building and updating Jupyter notebooks in a dedicated environment; given a dataset plus a prompt, the agent explores, analyzes, and interprets the data to provide comprehensive insights, reports, and visualizations, very much like a human scientist. It supports execution of Python, R, and Bash code, and includes a full suite of common scientific-analysis packages in a Docker environment. Because all work is done within a notebook, the reasoning is fully transparent and auditable; users can inspect exactly how data was manipulated, which parameters were chosen, how conclusions were drawn, and can download the notebook and associated assets at any time.
    Starting Price: $50 per month
  • 4
    scienceOS

    scienceOS

    scienceOS

    scienceOS is an AI-powered research platform built to accelerate scientific literature workflows by giving researchers fast, reliable access to a massive database, more than 225 million research papers via a chat-based interface. The core “AI science chat” lets you ask questions, get answers grounded in published literature, and even generate tables or diagrams summarizing findings. If you upload PDFs, the “multi-PDF chat” can parse up to eight documents per session and extract key passages, figures, and tables to help you digest papers quickly; it can also generate structured summaries of papers (e.g., intro, methods, conclusions), highlighting main findings, limitations, and key data. Alongside that, scienceOS includes an AI reference manager; you can store and organize up to 4,000 PDFs or citations in a personal or shared library, import external references (e.g., from Zotero), and chat with your own collection, useful for drafting literature reviews and building bibliographies.
    Starting Price: $7.95 per month
  • 5
    FutureHouse

    FutureHouse

    FutureHouse

    FutureHouse is a nonprofit AI research lab focused on automating scientific discovery in biology and other complex sciences. FutureHouse features superintelligent AI agents designed to assist scientists in accelerating research processes. It is optimized for retrieving and summarizing information from scientific literature, achieving state-of-the-art performance on benchmarks like RAG-QA Arena's science benchmark. It employs an agentic approach, allowing for iterative query expansion, LLM re-ranking, contextual summarization, and document citation traversal to enhance retrieval accuracy. FutureHouse also offers a framework for training language agents on challenging scientific tasks, enabling agents to perform tasks such as protein engineering, literature summarization, and molecular cloning. Their LAB-Bench benchmark evaluates language models on biology research tasks, including information extraction, database retrieval, etc.
  • 6
    Sciscoper

    Sciscoper

    Sciscoper

    Sciscoper is an AI powered research assistant that is used to streamline and accelerate the literature review process for STEM researchers, academics, and R&D teams. Researchers often deal with hundreds or thousands of scientific papers scattered across different sources, making it difficult to extract meaningful insights efficiently. Sciscoper solves this by using AI and natural language processing to automatically: Summarize scientific papers and research findings. Extract key insights, concepts, and relationships across documents. Generate literature reviews with citations in multiple reference styles. Organize and index papers into a structured, searchable knowledge base for easy discovery. This allows users to focus less on manual reading and note-taking, and more on analyzing results, identifying research gaps, and producing new scientific knowledge.
    Starting Price: $20/user/month
  • 7
    PapersFlow

    PapersFlow

    PapersFlow

    PapersFlow is an AI research workspace designed to help academics and researchers organize, analyze, and write scientific content within a single integrated environment. It enables users to manage paper libraries using projects, collections, and tags while running AI-powered reading workflows that generate summaries and answer questions about each paper. It supports deep literature review processes through its DeepScan capability, allowing researchers to synthesize findings across multiple sources and uncover connections more efficiently. PapersFlow also includes collaborative LaTeX writing with real-time preview so users can move seamlessly from reading papers to drafting manuscripts without switching tools. Additional capabilities such as cross-paper comparison, linked knowledge-base notes, and code discovery from research papers help streamline complex academic workflows.
    Starting Price: $14 per month
  • 8
    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.
  • 9
    HeyScience

    HeyScience

    HeyScience

    Finding, reading, and analyzing every relevant scientific research article can quickly turn into a time-consuming, tedious task. Designed by fellow academics, our AI-powered scientific research assistant lets you focus on what you love doing most: conducting research. Stay current with an overview of what researchers in your field are working on, familiarize yourself with a specific scientist’s contributions, and assess the possibility of future collaborations. Conduct a month’s worth of literature research in a few minutes. Search and sort through millions of papers across all academic fields to find relevant knowledge in one click. Read a short, simplified summary of scientific articles and grasp key concepts and findings within minutes. Leverage our dedicated AI-reviewer for instant feedback on your manuscript prior to conference or journal submission.
  • 10
    Acade

    Acade

    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.
  • 11
    Temboo Kosmos
    Kosmos supports open hardware and open data protocols, providing the most flexibility while ensuring the most ease-of-use. You control your data and devices, avoiding proprietary systems and lock-in. No coding or software engineering required. Kosmos writes the application for you, optimizing the device code to minimize power consumption and memory usage. Get advanced warning about problems before they happen and automatic notifications when anomalous sensor events are detected. Collect environmental data with connected sensors—no coding required.
  • 12
    AnswerThis

    AnswerThis

    AnswerThis

    AnswerThis is a scientific discovery platform that reduces weeks of manual research work to hours. Instead of manually searching, reading, and organizing dozens of papers, researchers use AnswerThis to find the most relevant work, see how ideas are connected, and get comprehensive answers to complex scientific questions with line by line answers. This allows them to map research gaps, analyze trends, and draft literature reviews far faster, all while building a searchable library of their own research materials. Thousands of scientists already rely on AnswerThis for the entire workflow from ideation to publication.
  • 13
    Charlie

    Charlie

    Emerit Science

    Charlie is a sovereign AI scientific agent for researchers and laboratories, specialized in biomedical research and built to accelerate scientific work with precise, sourced answers. It helps users conduct literature reviews, analyze scientific documents, organize research information, and move faster through R&D workflows while keeping traceability at the center of every response. Researchers can ask questions in natural language and get answers extracted directly from scientific documents, with page-level citations that make each source verifiable. Charlie can search simultaneously through hundreds of PDFs, synthesize information, compare articles, understand scientific context, and help users focus on discoveries instead of manual document review. Its research workspace includes libraries, projects, notes, shared collections, PDF reading, highlighting, annotation, and team collaboration, so important passages, references, and insights stay organized across devices.
    Starting Price: €12 per month
  • 14
    BenevolentAI

    BenevolentAI

    BenevolentAI

    BenevolentAI is an AI-enabled drug discovery platform and scientific technology company that unites advanced artificial intelligence, machine learning, and domain-specific science to accelerate the discovery, design, and development of new medicines for complex diseases by making sense of vast, diverse biomedical data and generating actionable scientific insights faster than traditional methods. Its proprietary Benevolent Platform ingests and harmonizes structured and unstructured biomedical information, including literature, genomics, clinical information, and multi-omics data, into a comprehensive knowledge graph, enabling scientists to reason across biological systems, generate hypotheses, predict novel drug targets, and design candidate molecules with higher confidence and lower failure rates.
  • 15
    Causaly

    Causaly

    Causaly

    Leverage the power of AI to expedite the journey from bench research and laboratory insights to the launch of life-changing therapies. Gain up to 90% in research productivity by reducing your reading time from months to minutes. Cut through the noise with a high-precision, high-accuracy search to navigate the ever-growing volume of scientific literature with ease. Save time, reduce bias and increase odds of novel discoveries. Deeply explore disease biology and conduct advanced target discovery. Causaly’s high-precision knowledge graph consolidates evidence from millions of publications, making deep, unbiased scientific exploration possible. Rapidly navigate biological cause-and-effect relationships without being an expert. Get a view of all scientific documents and uncover hidden connections. Causaly’s powerful AI machine reads millions of published biomedical literature to support better decision-making and research outcomes.
  • 16
    LeapSpace

    LeapSpace

    Elsevier

    LeapSpace is a research-grade, AI-assisted workspace developed by Elsevier, designed to help academic and corporate researchers move from curiosity to discovery faster within a secure, trusted environment. It combines responsible AI with one of the world’s most comprehensive collections of peer-reviewed scientific content, including millions of full-text articles, books, and over 100 million abstracts from thousands of publishers, ensuring that every insight is grounded in verified evidence rather than unfiltered web data. It uses natural-language queries to explore complex research topics, generating structured, cited responses that allow users to review original sources and validate findings directly. LeapSpace supports the full research workflow by enabling users to generate ideas, plan projects, analyze literature, compare studies, and produce in-depth reports that highlight patterns, contradictions, and gaps in existing research.
  • 17
    Noteweave

    Noteweave

    Noteweave

    Noteweave is an Intelligent Research Machines platform that helps teams go from research to executable production plans. It is built to stress-test scientific research, translate papers into validated experiments, and run R&D faster from one research-first workspace. Deep Analysis pressure-tests methods, evaluations, and robustness so failure modes surface before they reach production, helping teams detect production faults in academic papers pre-emptively, find missing evals, set up discrepancies, or misleading robustness trends, and identify technical faults faster. Explore searches across millions of papers, datasets, and code repositories, then synthesizes them into runnable production plans with traceable evidence. Noteweave helps users discover relevant research signals across 3 million+ AI/ML publications, optimize plans against constraints such as GPU utilization, translate academic methods into reproducible steps, and validate evaluation strategies more reliably.
    Starting Price: $18.99 per month
  • 18
    Gemini for Science
    Gemini for Science powers scientific discovery with AI tools and resources built to support scientific endeavors. It brings together experimental tools on Google Labs and science workflows in Google Antigravity to accelerate research, sharpen reasoning, and help researchers explore the future of AI-powered scientific discovery. Literature Insights synthesizes scholarly literature to identify new research opportunities, create grounded research artifacts, and extract paper data into queryable tables mapped directly to source evidence. Hypothesis Generation uses a multi-agent system that simulates the scientific method to identify knowledge gaps, generate potential research directions, and propose testable research plans for breakthrough discoveries. Computational Discovery helps researchers discover models and algorithms by using an agentic research engine that generates and scores code variations based on user-defined optimization metrics.
  • 19
    CoVigilAI

    CoVigilAI

    CoVigilAI

    CoVigilAI is an AI-enabled medical literature monitoring solution that employs advanced algorithms and data analytics to proactively detect and manage adverse drug events, ensuring patient safety and regulatory compliance in real time. The platform offers streamlined tracking of scientific and medical publications across prominent global literature databases such as PubMed and Embase, with customizable search strings facilitating an effortless pharmacovigilance literature monitoring journey. Periodic surveillance of scientific and medical literature databases and publications from diverse local journals is conducted, encompassing both global literature monitoring and localized literature surveillance. Advanced algorithms categorize Individual Case Safety Reports (ICSRs) into valid, potential, and invalid cases, while automated key entity detection efficiently recognizes crucial entities like patients, medications, adverse events, and designated medical events.
  • 20
    Zochi

    Zochi

    Intology

    Zochi is the first AI system capable of autonomously completing the entire scientific research process, from hypothesis generation to peer-reviewed publication, producing state-of-the-art results. Unlike prior systems limited to narrow, predefined tasks, Zochi excels in addressing research challenges at the forefront of artificial intelligence. Its effectiveness is validated by multiple peer-reviewed publications accepted at ICLR 2025 workshops, underscoring Zochi's ability to generate novel and academically rigorous contributions. Zochi identified a critical bottleneck in AI development: cross-skill interference in parameter-efficient fine-tuning. When adapting models to multiple tasks simultaneously, improvements in one skill often degrade others. To address this, Zochi developed CS-ReFT (Compositional Subspace Representation Fine-tuning), focusing on representation editing rather than weight modifications.
  • 21
    PubHive Navigator
    PubHive Navigator is an AI-powered software platform that streamlines scientific literature and safety workflows for life science companies of all sizes. It offers centralized end-to-end workflow solutions for literature review, curation, annotation, collaboration, searching, reporting, citing, and managing research. The platform features AI-powered smart workspaces for centralized literature management, collaborative research writing and team communication, reuse rights and document delivery integrations, and out-of-the-box workflows for different operation units. PubHive Navigator is designed to simplify enterprise scientific literature and safety information workflows, making it a flexible software platform for teams in drug safety and pharmacovigilance, medical affairs, clinical affairs, and R&D.
  • 22
    Prism

    Prism

    OpenAI

    Prism is a free, LaTeX-native scientific writing workspace designed to streamline research collaboration and publishing. It brings drafting, compiling, and collaboration into a single cloud-based environment with no local setup required. Prism integrates GPT-5.2 directly into the writing workflow, providing AI-assisted proofreading, formatting, and literature search. Researchers can collaborate with unlimited contributors in real time while viewing instant compiled previews of their work. The platform is fully project-aware, allowing AI to understand the full context of a paper, including equations, references, and revisions. Built-in LaTeX rendering, citation management, and error checking reduce time spent on manual cleanup. Prism is designed to meet scientists where they already work, making it a modern standard for scientific writing.
  • 23
    Gatsbi

    Gatsbi

    Clouchie Limited

    Gatsbi is an intelligent research assistant that helps scholars, scientists, and innovators accelerate their work and deepen their thinking. It combines powerful large language models with academic rigor to support research idea generation, literature reviews, meta-analyses, academic writing, and patent disclosure preparation — all within one seamless platform.
    Starting Price: $19.99/month
  • 24
    1Kosmos

    1Kosmos

    1Kosmos

    1Kosmos enables passwordless access for workers, customers and citizens to securely transact with digital services. By unifying identity proofing and strong authentication, the BlockID platform creates a distributed digital identity that prevents identity impersonation, account takeover and fraud while delivering frictionless user experiences. BlockID is the only NIST, FIDO2, and iBeta biometrics certified platform that performs millions of authentications daily for some of the largest banks, telecommunications and healthcare organizations in the world.
  • 25
    biologit MLM-AI
    Biologit offers a comprehensive suite of software and services designed to enhance safety surveillance across various industries. Their flagship product, biologit MLM-AI, is an all-inclusive global and local medical literature monitoring platform powered by AI. This scientific literature monitoring platform is simple to use, fully web-enabled, and validated for compliance, providing productivity gains for human and veterinary pharmacovigilance. Key features include integrated search and configurable literature screening workflows delivering up to 70% productivity gains powered by AI, a flexible and validated SaaS platform that is GxP-ready and CFR-11 compliant, and a database hosting major global and local literature sources with automatic article de-duplication. In addition to its software solutions, Biologit offers consultancy services covering pharmacovigilance, veterinary pharmacovigilance, and more.
  • 26
    Connected Papers

    Connected Papers

    Connected Papers

    Connected Papers is a visual tool designed to assist researchers and applied scientists in discovering and exploring academic papers pertinent to their field of work. By inputting a "seed paper," users can generate a graph that displays related papers based on a similarity metric derived from co-citation and bibliographic coupling analyses. This approach allows for the identification of relevant literature, even when direct citations are absent. The resulting graph provides a visual overview of the research landscape, highlighting seminal works and potential areas for further exploration. Connected Papers aims to streamline the literature review process, making it more efficient and comprehensive for researchers.
    Starting Price: $3 per month
  • 27
    Noah AI

    Noah AI

    Noah AI

    Noah AI is an AI-powered research assistant tailored specifically for life-sciences professionals, designed to automate and accelerate complex workflows across biomedical research, clinical development, and commercial strategy. It offers an “Agent” mode that plans and executes multi-step tasks by conducting intelligent web searches, querying trusted scientific databases (such as PubMed and FDA/NIH sources), summarizing high-impact papers, mining clinical-trial results, and generating professional-grade reports, while a lighter “Search” mode allows rapid, reliable access to domain-specific content summaries. With integrations across comprehensive medical/public-health data, AI-driven insights, and real-time news tracking of global R&D activity and conference intelligence, Noah AI enables researchers, biotech investors, and clinicians to go from question to insight in a fraction of the time.
    Starting Price: $12.40 per month
  • 28
    SciSummary

    SciSummary

    SciSummary

    Use AI to summarize scientific articles. Send an email with text, a link, or even attach a PDF and within minutes you'll receive a summary in your inbox. The perfect tool for busy scientists, students and enthusiasts who don't have time to read through long and complicated scientific articles.
  • 29
    K-Dense Web
    K-Dense is an autonomous AI agent platform designed to execute complex, multi-step workflows across domains such as science, engineering, healthcare, finance, and market research. It allows users to upload data or describe a goal, after which the AI decomposes the objective, runs analyses, executes code, and generates professional reports and visualizations on secure cloud infrastructure. Unlike traditional AI tools that handle isolated tasks, K-Dense coordinates specialized agents that can plan experiments, review literature, design analyses, and produce publication-ready outputs with full traceability and validation loops. It supports end-to-end task automation, autonomous machine learning, and professional writing, enabling users to move from raw data to polished deliverables with minimal manual intervention. Built as a fully hosted environment, K-Dense integrates multiple scientific databases, Python libraries, and research tools.
    Starting Price: $50 per month
  • 30
    Sapio Sciences

    Sapio Sciences

    Sapio Sciences

    Sapio Sciences delivers the Sapio Platform, an agentic AI lab informatics platform that makes life in the lab easier and more productive for scientists. The unified, configurable, low code and scalable environment brings together Sapio LIMS, the market’s most advanced and flexible LIMS for automating research, diagnostics and manufacturing, Sapio ELaiN, the third generation AI lab notebook and scientific co scientist, and Sapio Scientific Data Cloud, the scientific data unification solution with built in organization, search, charting, tools and AI. Biopharma R&D, biotech, CRO and clinical diagnostics organizations use Sapio to run complex workflows and keep samples, experiments and data connected in one place instead of juggling disconnected systems.
  • 31
    Cure AI

    Cure AI

    Cure AI

    Cure AI is an advanced medical research engine that utilizes artificial intelligence to provide comprehensive access to over 26 million scientific articles from PubMed. It offers AI-powered natural language search capabilities, allowing users to input research queries in conversational language, which the system interprets to deliver precise results. The platform features advanced search parameters, enabling users to refine results by journal, publication date, and other criteria for tailored research needs. Cure AI ranks evidence based on quality and relevance, considering factors such as journal h5-index, citation count, and publication type, ensuring that users receive the most pertinent and verified information. Additionally, it provides seamless navigation between AI-generated insights and primary literature sources, facilitating efficient literature review and analysis. The platform includes quick citation tools, allowing users to copy or share citations with a single click.
    Starting Price: $15 per month
  • 32
    Consensus

    Consensus

    Consensus

    Ask a question, get conclusions from research papers. Consensus uses AI to find answers in research papers. The best way to search is to ask a question. Focus on questions that researchers may have studied. Topics range from biology to social sciences. Scientific research is the most valuable, insight-filled source of data to ever exist. Yet, the current consumers of this information are the same people who are creating it. We are striving to build the tools that democratize scientific evidence and make the world a better place, by making it a more informed place. Consensus is built by machine learning, science, and technology experts from some of the world’s most innovative institutions.
  • 33
    OpenAI deep research
    OpenAI's deep research is an AI-powered tool designed to autonomously conduct complex, multi-step research tasks across various domains, such as science, coding, and mathematics. By analyzing user-provided inputs—such as questions, text documents, images, PDFs, or spreadsheets—the system formulates a structured research plan, gathers relevant information, and delivers comprehensive responses within minutes. It also provides process summaries with citations, helping users verify sources. While this tool significantly accelerates research efficiency, it may occasionally produce inaccuracies or struggle to differentiate between authoritative sources and misinformation. Currently available to ChatGPT Pro users, deep research represents a step toward AI-driven knowledge discovery, with ongoing improvements planned for accuracy and response time.
  • 34
    moara

    moara

    moara.io

    Moara is an AI-powered research management platform that helps academics, scientists, and librarians streamline their literature review process. Designed around librarian-led best practices, it supports both narrative and systematic reviews through guided workflows and automation. Researchers can easily import papers from Zotero, citation files, or PDFs, accessing over 200 million publications to build a structured library. AI automatically extracts metadata, tags papers, and assists with triage, annotation, and evidence synthesis. Collaboration tools allow teams to assign papers, track progress, and comment in real time, ensuring efficiency and consistency. With Moara, researchers can conduct comprehensive, organized, and reproducible reviews faster than ever before.
    Starting Price: $25/month
  • 35
    Sci-Bot

    Sci-Bot

    Sci-Bot

    Sci-Bot is an AI-powered research assistant built on top of Sci-Hub, designed to answer user questions by directly searching and analyzing scientific literature instead of generating responses from general training data. It works by scanning a vast database of full-text academic papers and extracting relevant findings to produce answers grounded in published research, often including references and links to the original studies. It presents itself as a simple interface where users can ask questions in multiple languages, and the system automatically searches for relevant keywords, retrieves academic articles, and synthesizes information into a structured response. It follows a step-by-step process similar to a human researcher, showing intermediate searches and sources before delivering a final answer. A key focus is on reducing hallucinations by relying on existing scientific papers rather than purely generative outputs, and it can provide direct access to full-text documents.
    Starting Price: Free
  • 36
    Resea.AI

    Resea.AI

    Resea.AI

    Resea AI is a full-featured academic research assistant that autonomously plans, conducts, and writes in-depth academic tasks from literature review to report drafting. It connects seamlessly with major scholarly databases such as Google Scholar, PubMed, and arXiv to source trusted research, then employs its proprietary “Think and Research” engine to determine research direction, core concepts, and writing angles through multi-stage inquiry. Feeding into its AI writing editor, Resea AI is capable of generating documents of unlimited length (even up to 50,000 words), and offers interactive editing for fast refinements. It ensures academic rigor through support for dozens of citation formats with accurate source indexing. It evaluates performance with benchmarks like xBench‑DeepSearch that measure deep research capabilities. Additional use cases include systematic literature reviews, academic outlines, content synthesis, reviewer-perspective feedback, and more.
    Starting Price: $12 per
  • 37
    BenchSci

    BenchSci

    BenchSci

    Eliminate inefficiencies and errors in the entire reagent and model system selection process that cause costly experimental failure. Accelerate projects by selecting reagents and model systems in 30 seconds vs. 12 weeks. Reduce hard cost of consumables and save millions per year. Empower organizational purpose by restoring research time to scientists. See real business impact from AI with a proven, turnkey application. Over 41,200 scientists in 15 of the top 20 pharmaceutical companies and more than 4,450 academic institutions use BenchSci’s AI-Assisted Antibody Selection to plan more successful experiments, with proven savings of millions per year in hard costs alone. But antibodies constitute just 40-50% of reagent failures. Get comprehensive experimental evidence, reagent and model system catalog data, and independent validations within a single intuitive interface. Real world experiment data from 11.2 million scientific publications, including closed-access papers.
  • 38
    WisPaper

    WisPaper

    WisPaper

    WisPaper is an AI-driven research assistant that helps users search, filter, and synthesize academic papers and literature quickly and intelligently. Its “Scholar Search” feature acts like an agent: you issue queries about a topic and WisPaper scours research databases to surface the most relevant papers, abstracts, metrics, and insights. Rather than just returning lists, WisPaper lets you screen and filter results by relevance, date, citations, and impact, providing summaries and context to help you zero in on what matters. It also supports concept exploration, if you’re unsure of the exact terms, Wispaper can suggest related keywords or begin from broad ideas and help narrow them. The interface is built to streamline the literature review workflow, reducing the time spent manually digging through search engines, reading many abstracts, and cross-checking sources.
    Starting Price: Free
  • 39
    CiteDash

    CiteDash

    CiteDash

    CiteDash is an AI-powered research and writing platform designed to streamline the entire academic workflow by combining source discovery, analysis, drafting, and citation into a single system. It enables users to enter a research topic, essay prompt, or question, after which a multi-agent pipeline automatically searches across numerous academic databases, including sources like Semantic Scholar, PubMed, and OpenAlex, to identify, evaluate, and synthesize relevant literature into a structured draft with inline citations. It emphasizes accuracy and credibility by grounding every claim in verifiable academic sources, avoiding hallucinated references, and ensuring that outputs are traceable to real studies. CiteDash supports a wide range of academic tasks, including essay writing, research papers, literature reviews, and exam preparation, offering tools such as AI-generated notes, structured outlines, and active recall question generation to reinforce learning.
    Starting Price: $9 per month
  • 40
    K-Display Convert
    No matter where they come from K-Display® Convert will get CAD files ready to be read with the tools you have. The programs require no additional CAD software licenses. Beyond just straight pass-through of data, K-Compare Convert allows filtering out objects by simply hiding the parts you don't want in the output file. Powered by next-generation Kubotek Kosmos technology, K-Display employs full multi-threaded processing guaranteed to bring a new level of speed when opening larger files. K-Display Convert has versions supporting Windows, Mac, and Linux. Count on these programs to translate all the MCAD files that come your way into formats you can use. Simple display commands and options for 3D models. Check distances, surface areas, and solid volumes. Save as STEP, IGES, ACIS, STL, and PDF files. Licenses ready for purchase in our web store.
    Starting Price: $29 per month
  • 41
    K-Display View
    K-Display® View software means less effort getting all the design details to everyone in your chain. Programs and apps for reading, navigating, and measuring all major CAD file formats on any device. With K-Display View, you will always be prepared for the next CAD file, no matter what it is. K-Display requires no additional CAD software and is designed with an intuitive interface, allowing manufacturing, sales, support, and service departments to easily view and interrogate files. You can relax because K-Display View is a local install, read-only program so you will never save a changed version of the file or need to upload sensitive/customer data to the Internet. Powered by Kubotek’s next-generation Kosmos technology, K-Display employs full multi-threaded processing guaranteed to bring a new level of speed when opening larger files. K-Display View has desktop and mobile compatible versions, supporting Windows, Mac, Linux, Android, and iOS.
    Starting Price: $29 per month
  • 42
    Scitara DLX
    Scitara DLX™ offers a rapid connectivity infrastructure for any instrument in the life science laboratory in a fully compliant and auditable cloud-based platform. Scitara DLX™ is a universal digital data infrastructure that connects any instrument, resource, app and software in the laboratory. The cloud-based, fully auditable platform connects all data sources across the lab, allowing the free flow of data across multiple end points. This allows scientists to devote their time to scientific research, not waste it solving data issues. DLX curates and corrects data in flight to support the development of accurate, properly structured data models that feed AI and ML systems. This supports a successful digital transformation strategy in the pharma and biopharma industries. Unlocking insights from scientific data enables faster decision-making in drug discovery and development, helping bring drugs to market more quickly.
  • 43
    L7|ESP

    L7|ESP

    L7 Informatics

    L7 Enterprise Science Platform (L7|ESP®) is a unified platform that contextualizes data and eliminates business silos via process orchestration. It's a comprehensive solution that facilitates the digitalization of data and scientific processes in life sciences organizations. L7|ESP has native applications, including L7 LIMS, L7 Notebooks, L7 MES, L7 Scheduling, and more. It can integrate with existing third-party applications, lab instruments, and devices to capture all data in a single data model. It has a low-code/no-code workflow designer and hundreds of pre-built connectors to enable rapid time-to-value and end-to-end automation. By leveraging a single data model, L7|ESP enables advanced bioinformatics, AI, and ML to offer novel scientific and operational insights. L7|ESP addresses data and lab management needs in life sciences, particularly in: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Resource Center: l7informatics dot com/resource-center
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    Crescis

    Crescis

    Crescis

    Crescis is an AI powered research assistant that creates citation ready literature reviews from either your uploaded PDFs or AI powered searches across millions of scholarly articles. It retrieves relevant open-access papers, summarizes complex research into clear insights, and organizes sources into collections. Generate flawless citations in APA, MLA, Chicago, and more, then compile your findings into ready to edit literature review drafts. By combining search, retrieval, summarization, organization, and citation into one platform, Crescis helps students, researchers, and professionals turn scattered sources into polished academic writing, faster, easier, and more accurately than ever.
    Starting Price: $15/month/user
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    wisio.app

    wisio.app

    wisio.app

    wisio.app is an online platform that allows scientists, researchers and students to create and publish science faster and with better quality using cutting-edge AI technology. Get scientifically sound suggestions based on your input and targeted keywords for the perfect piece of content. Enter your text and let us extract keywords, then quickly search Pubmed for the best citations. Make your science accessible to a global audience. Simply enter your text and let us transform it into scientifically precise English. Eliminate barriers with our AI-powered English correction tool for nearly flawless writing that guarantees understanding by reviewers and colleagues.
    Starting Price: $9 per month
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    Apodex

    Apodex

    Apodex

    Apodex is a self-evolving heavy-duty solver for deep research, built to answer the questions that matter with verified reasoning rather than a quick chat reply. It reasons through hard problems step by step, checks every conclusion before moving to the next, and produces a verified brief with citations in every report. Designed for complex inquiries with no easy existing answer, Apodex performs deep research, explores evidence, and verifies each step so users can trust how the final conclusion was reached. Signed-in users can save every inquiry, return, and continue anytime, search across threads, branch off any report, and review a step-level reasoning trace. Apodex-1.0 is a verification-centric model for deep research that can run as a standard tool-using ReAct agent, while its heavy-duty mode deploys an asynchronous agent team where specialized sub-agents handle retrieval and verification, route findings through a shared evidence pool, and feed a global verifier.
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    ScienceDesk

    ScienceDesk

    ScienceDesk

    ScienceDesk data automation demystifies the use of artificial intelligence in materials sciences. A practical tool for your team to add and apply the newest AI algorithms on an everyday basis. Customizable properties, universal identifiers, QR-codes and a powerful textual-numeric search engine that links sample and experimental data. ScienceDesk is an innovative platform for scientists and engineers to interact with, collaborate on and obtain insights into their experimental data. Unfortunately, the potential of this asset is not fully exploited due to the variety of data formats and the strong dependence on experts to manually extract specific information. The ScienceDesk research data management system solves this problem by combining documentation and data analysis in a cleverly-engineered data structure. Researchers and scientists are empowered by our algorithms to gain total control of their data. They can not only share datasets, but even the analysis know-how.
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    Gemini 2.5 Deep Think
    Gemini 2.5 Deep Think is an enhanced reasoning mode within the Gemini 2.5 family that uses extended, parallel thinking and novel reinforcement learning techniques to tackle complex, multi-step problems in areas like math, coding, science, and strategic planning by generating and evaluating multiple lines of thought before responding, producing more detailed, creative, and accurate answers with support for longer replies and built-in tool integration (e.g., code execution and web search). Its performance shows state-of-the-art results on rigorous benchmarks, including LiveCodeBench V6 and Humanity’s Last Exam, and it demonstrates notable gains over previous versions in challenging domains, with internal evaluations also indicating improved content safety and tone-objectivity, though with a higher tendency to decline benign requests; Google is conducting frontier safety evaluations and implementing mitigations to manage risks as the model’s capabilities advance.
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    Evo 2

    Evo 2

    Arc Institute

    Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework.
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    Microsoft Discovery
    Microsoft Discovery is a new agentic platform designed to revolutionize research and development (R&D) by empowering scientists and engineers with AI-driven collaboration and high-performance computing (HPC). Built on Azure, this platform enables researchers to work alongside specialized AI agents that help accelerate the discovery process through advanced knowledge reasoning, hypothesis formulation, and experimental simulations. The platform's graph-based knowledge engine facilitates complex, contextual reasoning over vast amounts of scientific data, promoting transparency and accountability while speeding up the discovery cycle. By automating and enhancing research tasks, Microsoft Discovery offers an extensible, enterprise-ready solution that integrates seamlessly with existing tools and datasets.