Alternatives to Edison Analysis

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

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    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
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    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.
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    edison365

    edison365

    edison365

    edison365 is an all-in-one platform designed to help businesses manage ideas, projects, and portfolios with ease. It offers customizable workflows, drag-and-drop tools, and real-time reporting to streamline project delivery from planning to execution. Users can use Gantt charts, personal dashboards, and insightful reports to track progress and prioritize tasks. Trusted by over 100 global brands, edison365 supports complex project management needs across industries like engineering, construction, and healthcare. The platform focuses on aligning goals, capturing ideas, validating ROI, and managing projects effectively. edison365 empowers teams to turn innovative ideas into impactful business outcomes.
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    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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    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

    Edison Scientific

    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.
    Starting Price: $50 per month
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    EdisonOS

    EdisonOS

    EdisonOS

    Scale your tech company without a dev team. Easily launch educational platforms, craft online courses, sell mock tests, handle live classes, and foster communities, all without coding. From seasoned instructional designers to beginners, EdisonOS provides the best LMS platform for creating online courses. Enhance interactivity in learning with our content authoring tools. Select from over 50 native content options, including flashcards, quizzes, and matching exercises. Host secure, live classes led by instructors. Enhance the learning experience with real-time interaction. Easily craft assessments and mock exams. Offer students a genuine test-like experience with our intuitive builder. A complete ecommerce solution to set up, launch, and scale a profitable knowledge business. Customize and manage your online footprint with a distinctive website that encapsulates your business's core value. Craft engaging emails easily with EdisonOS to keep your learners engaged.
    Starting Price: $129 per month
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    OnMail

    OnMail

    OnMail

    OnMail has been engineered to solve the core areas of email that are broken today. Control has been taken away from you, ad targeting has grown into an invasive norm, most email addresses that actually represent your digital identity are unavailable, and simplicity has given way to overly complicated actions in the inbox. OnMail offers a first-of-its-kind permission-based inbox, along with cool new abilities like superior search based on natural language recognition and a unique import account system that modernizes your existing email accounts in OnMail. You can send large attachments, save time with AI-based suggestions to unsubscribe, follow up on email, and perform automated inbox cleanup. OnMail’s premium service plans even uniquely allow you to acquire and integrate your own custom domain into a personalized email address. OnMail’s creators at Edison provide ecommerce research to businesses in the form of Edison Trends.
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    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.
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    Illumina Connected Analytics
    Store, archive, manage, and collaborate on multi-omic datasets. Illumina Connected Analytics is a secure genomic data platform to operationalize informatics and drive scientific insights. Easily import, build, and edit workflows with tools like CWL and Nextflow. Leverage DRAGEN bioinformatics pipelines. Organize data in a secure workspace and share it globally in a compliant manner. Keep your data in your cloud environment while using our platform. Visualize and interpret your data with a flexible analysis environment, including JupyterLab Notebooks. Aggregate, query, and analyze sample and population data in a scalable data warehouse. Scale analysis operations by building, validating, automating, and deploying informatics pipelines. Reduce the time required to analyze genomic data, when swift results can be a critical factor. Enable comprehensive profiling to identify novel drug targets and drug response biomarkers. Flow data seamlessly from Illumina sequencing systems.
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    Alchemite

    Alchemite

    Intellegens

    Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc.
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    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.
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    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.
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    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.
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    Nygen

    Nygen

    Nygen

    Nygen is a cloud-based single-cell RNA-seq (scRNA-seq) and multi-omics data analysis and discovery platform designed to let researchers upload, explore, visualize, analyze and interpret complex cellular datasets with an intuitive, no-code interface that supports drag-and-drop workflows and advanced scientific analysis without requiring programming expertise; it combines Nygen Analytics for rapid, reproducible scRNA-seq exploration with collaborative dashboards and publication-ready outputs, Nygen Database for accessing and hosting curated single-cell datasets to accelerate research and comparative studies, and Nygen Insights, an AI-augmented tool that delivers highly accurate cell annotations, in-depth disease impact analysis and tailored biological insights; it supports a wide range of data formats, integrates public data, enables secure cloud-based collaboration, and provides features like literature-linked evidence and biomarker-focused analyses.
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    Reliant AI

    Reliant AI

    Reliant AI

    Accuracy, speed, confidence. Introducing generative AI to commercial biopharma. Simplify the labor-intensive process of collecting, organizing, and inspecting vast amounts of complex data. Get straight to decision-critical insights with 100% confidence, every time. With our AI-powered data manipulation and verification platform, you'll never lose track of your workstreams again. Gather, refine, and check your data, all in one place. Search public and private databases by key drug characteristics. Segment drugs and trials by detailed patient profiles. Extract the data you need in plain English. Support your findings by linking answers back to their source. Focus your time and energy on synthesizing high-quality outputs from data rather than menially sifting through it. Our specialized LLMs enable researchers to perform asset scans 4.8x faster than by hand. We index over 38M scientific publications, conference abstracts, and clinical trials. All the data you need, when you need it.
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    Sapio LIMS

    Sapio LIMS

    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.
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    Benchling

    Benchling

    Benchling

    Legacy R&D software is a drain on scientific potential. It slows down R&D progress, scatters data across silos, and wipes out institutional knowledge. Benchling is the industry’s leading life sciences R&D cloud. Accelerate, measure, and forecast R&D – from discovery through bioprocessing – all in one place. A suite of seven natively unified applications that accelerate R&D at all levels. Codeless configuration, open integration, and dashboards tailored to your needs. Deep life science R&D and consulting expertise ensure ongoing success. Benchling is a unified R&D platform, so you spend less time entering and hunting for data, and more time working together to move your research forward. Scientists, managers, and executives can optimize R&D output with complete visibility into experimental context, program performance, and resource utilization.
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    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.
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    JupyterLab

    JupyterLab

    Jupyter

    Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala.
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    Signals Research Suite

    Signals Research Suite

    PerkinElmer Informatics

    Secure and scalable, the Suite features a modern, intuitive interface that offers scientists complete control in configuring workflows for every technique, modality, and data type. Signals VitroVivo 3.0 (formerly Signal’s Screening) easily transforms raw data into actionable results and Signals Inventa 3.0 (formerly Signals Lead Discovery) is the next-gen analytics software that enables researchers to seamlessly publish results from disparate data sources. Experimental data capture, materials management, and collaboration workflows in a user-friendly cloud-based electronic notebook. Flexible visual and automatable instrument data processing to drive data quality and reproducibility. Unified data management for scientific results combined with rich interactive analytics. Extensibility to integrate with internal and partner systems and processes.
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    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.
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    JupyterHub

    JupyterHub

    JupyterHub

    With JupyterHub you can create a multi-user Hub which spawns, manages, and proxies multiple instances of the single-user Jupyter notebook server. Project Jupyter created JupyterHub to support many users. The Hub can offer notebook servers to a class of students, a corporate data science workgroup, a scientific research project, or a high performance computing group. JupyterHub officially does not support Windows. You may be able to use JupyterHub on Windows if you use a Spawner and Authenticator that work on Windows, but the JupyterHub defaults will not. Bugs reported on Windows will not be accepted, and the test suite will not run on Windows. Small patches that fix minor Windows compatibility issues (such as basic installation) may be accepted, however. For Windows-based systems, we would recommend running JupyterHub in a docker container or Linux VM.
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    JetBrains DataSpell
    Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.
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    Seqera

    Seqera

    Seqera

    ​Seqera is a bioinformatics platform developed by the creators of Nextflow, designed to streamline and enhance the management of scientific data analysis workflows. It offers a comprehensive suite of tools, including the Seqera Platform for orchestrating scalable data pipelines, Seqera Pipelines for accessing a curated collection of open source workflows, Seqera Containers for simplifying container management, and Seqera Studios for interactive data analysis environments. It supports seamless integration with various cloud and on-premises infrastructures, ensuring reproducibility and compliance in scientific research. Integrate Seqera into existing on-premises systems and cloud platforms like AWS, GCP, and Azure, with no forced migrations. Maintain full control over data residency and scale globally, without compromising security or performance.
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    Partek Flow
    Partek bioinformatics software delivers powerful statistical and visualization tools in an easy-to-use interface. Researchers of all skill levels are empowered to explore genomic data quicker and easier than ever before. We turn data into discovery®. Pre-installed workflows and pipelines in our intuitive point-and-click interface make sophisticated NGS and array analysis attainable for any scientist. Custom and public statistical algorithms work in concert to easily and precisely distill NGS data into biological insights. Genome browser, Venn diagrams, heat maps, and other interactive visualizations reveal the biology of your next-generation sequencing and array data in brilliant color. Our Ph.D. scientists are always just a phone call away and ready to help with your NGS analysis any time you have questions. Designed specifically for the compute-intensive needs of next-generation sequencing applications with flexible installation and user management options.
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    SciDraw

    SciDraw

    SciDraw

    SciDraw AI is an AI-powered scientific figure and illustration maker for creating publication-ready figures, diagrams, data charts, graphical abstracts, posters, theses, slides, and teaching visuals through a UI-first web workflow. It combines scientific illustration and data visualization in one platform, helping researchers, graduate students, educators, and science communicators move from idea to polished visual without needing design experience. Users can start with a template or describe a scientific concept, then refine the result through multi-round AI optimization and download the finished figure for a paper, thesis, slide deck, or poster. SciDraw AI supports text-to-image generation for professional scientific illustrations, sketch and image editing for transforming hand-drawn sketches or references into polished visuals, and smart data charts that turn CSV or Excel data into publication-ready figures.
    Starting Price: $10 per month
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    Bioconductor

    Bioconductor

    Bioconductor

    The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists. Resources to maximize the potential of Bioconductor. From basic functionalities to advanced features, our tutorials, guides, and documentation have you covered. Bioconductor uses the R statistical programming language and is open source and open development. It has two releases each year and an active user community. Bioconductor provides Docker images for every release and provides support for Bioconductor use in AnVIL. Founded in 2001, Bioconductor is an open-source software project widely used in bioinformatics and biomedical research. It hosts over 2,000 R packages contributed by over 1,000 developers, with over 40 million downloads per year. Bioconductor has been cited in more than 60,000 scientific publications.
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    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.
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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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    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.
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    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.
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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.
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    Opscidia

    Opscidia

    Opscidia

    Opscidia is a collaborative platform that brings all the scientific and technological information. It is a scientific hub based on the latest AI technologies with multiple monitoring features to view the best scientific information in a few clicks. Scientific and technological monitoring is a time-consuming process, but essential for innovation. Opscidia has taken up the challenge of offering the best scientific information in a few clicks. Opscidia's scientific hub allows businesses to optimize monitoring time so that teams can invest more in R&D projects, client deliverables, and daily monitoring tasks. The features of the Opscidia platform include: - Identify emerging concepts - Measure scientific trends related to a product or a technology - Write scientific reports faster thanks to artificial intelligence - Collaborate and share scientific information
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    Chemaxon Design Hub
    A platform that connects scientific rationale, compound design, and computational resources. Chemaxon’s Design Hub for medicinal chemistry from analysis to prioritize ideas. Design Compounds and manage ideas within one platform. A single platform that connects scientific rationale, compound design, and computational resources. Switch from PowerPoint files to graphical and chemically searchable hypotheses that are an integral part of the compound design process. Easily work with your trusted phys-chem properties, computational models, novelty issues, or purchasable compound catalogs in a rich visual environment. Involve your CROs in the compound progression process using this secure online service. Analyze collected evidence from biological assays or experimental structural information, extract SAR, and make new hypotheses for the next optimization iteration. Store your scientific hypotheses in a “designer's ELN” (chemically aware drawing canvases).
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    Iris.ai

    Iris.ai

    Iris.ai

    Iris.ai is a world-leading and award-winning AI engine for scientific text understanding. It is a comprehensive platform for all research-related knowledge processing needs. Our Researcher Workspace solution provides smart search and a wide range of smart filters, reading list analysis, auto-generated summaries, autonomous extraction, and systematising of data. Iris.ai allows humans to focus on value creation by saving 75% of a researcher’s time, doing specialised, interdisciplinary field analysis to an above human level of accuracy. Its algorithms for text similarity, tabular data extraction, domain-specific entity representation learning, and entity disambiguation and linking measure up to the best in the world. Its machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it, and give feedback to the system. Applying these features to scientific and technical text is a complicated challenge few others can achieve.
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    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
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    Signals Inventa

    Signals Inventa

    PerkinElmer Informatics

    Signals Inventa, formerly known as Signals Lead Discovery, is a next-generation data management system for the analysis of scientific results. Powered by PerkinElmer’s innovative Signals Data Factory technology it enables you to efficiently access and analyze all scientific results collected throughout the research and development lifecycle. No matter what you make, Signals Inventa helps you decide which tests offer the best results, what you should make next, what to test further, and lots more. With Signals Inventa, data is normalized, staged, and ready to explore. Signals Inventa expands scientific understanding with a range of scientific-analytical methods, including R-group decomposition, chemical clustering, matched molecular pair analysis, maximum chemical substructure, blast search of both internal and external databases, and sequence alignment.
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    Google Colab
    Google Colab is a free, hosted Jupyter Notebook service that provides cloud-based environments for machine learning, data science, and educational purposes. It offers no-setup, easy access to computational resources such as GPUs and TPUs, making it ideal for users working with data-intensive projects. Colab allows users to run Python code in an interactive, notebook-style environment, share and collaborate on projects, and access extensive pre-built resources for efficient experimentation and learning. Colab also now offers a Data Science Agent automating analysis, from understanding the data to delivering insights in a working Colab notebook (Sequences shortened. Results for illustrative purposes. Data Science Agent may make mistakes.)
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    FigCanvas

    FigCanvas

    FigCanvas

    FigCanvas is an AI scientific figure generator for researchers, built to create scientific illustrations, flowcharts, and data visualizations in one place. Users can describe a figure in plain language, paste methodology text, or upload a dataset, then get a first draft in under two minutes. It supports workflows for scientific illustration, data visualization, and flowchart creation, helping researchers generate pathway diagrams, cell biology figures, molecular mechanism figures, lab schematics, bar charts, scatter plots, heatmaps, volcano plots, and other research visuals without design skills or coding knowledge. FigCanvas is built specifically for scientific communication, using research-specific visual training informed by real scientific figures so outputs better match the structure, composition, and style expected in academic work.
    Starting Price: $12.50 per month
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    OmicsBox

    OmicsBox

    BioBam Bioinformatics S.L.

    OmicsBox is a leading bioinformatics solution that offers end-to-end data analysis of genomes, transcriptomes, metagenomes, and genetic variation studies. The application is used by top private and public research institutions worldwide and allows researchers to easily process large and complex data sets, and streamline their analysis process. It is designed to be user-friendly, efficient, and with a powerful set of tools to extract biological insights from omics data. The software is structured in different modules, each with a specific set of tools and functions designed to perform different types of analysis, such as de-novo genome assemblies, genetic variation analysis, differential expression analysis, and taxonomic classifications of microbiome data, including the functional interpretation and rich visualizations of results. The functional analysis module includes the popular Blast2GO annotation methodology and makes OmicsBox particularly suited for non-model organism research
    Starting Price: €100/month/seat
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    Chemaxon

    Chemaxon

    Chemaxon

    Working alongside both our in-house chemists and biologists, and our clients, we build products that deliver outstanding performance and scientific understanding. Chemaxon's product portfolio offers out-of-the-box solutions for scientists, back-end tools for IT professionals, components to add extra functionality, and integrations to make our technology available from 3rd party software like Microsoft Excel or KNIME. Trusted by over one million active users, Chemaxon is renowned for industry-leading software supporting scientific discovery with calculation, search and drawing tools. Our applications are widely used in life sciences R&D and education. We work with a variety of industries, counting most major pharmaceutical companies among our clients. Our offices are located in Budapest, Basel, Boston and San Diego, with distributors around the world.
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    Elucidata Polly
    Harness the power of biomedical data with Polly. The Polly Platform helps to scale batch jobs, workflows, coding environments and visualization applications. Polly allows resource pooling and provides optimal resource allocation based on your usage requirements and makes use of spot instances whenever possible. All this leads to optimization, efficiency, faster response time and lower costs for the resources. Get access to a dashboard to monitor resource usage and cost real time and minimize overhead of resource management by your IT team. Version control is integral to Polly’s infrastructure. Polly ensures version control for your workflows and analyses through a combination of dockers and interactive notebooks. We have built a mechanism that allows the data, code and the environment co-exist. This coupled with data storage on the cloud and the ability to share projects ensures reproducibility of every analysis you perform.
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    SciSpace BioMed Agent
    SciSpace BioMed is a domain-native AI “co-scientist” for biomedical research that combines a vast literature database with 150+ integrated bio-tools and 100+ academic databases and software suites to streamline complex research workflows, from genomics and single-cell analysis to drug discovery and clinical genomics. It enables researchers to ask natural-language questions, ingest datasets, interpret variants or multi-omics data, design cloning or wet-lab workflows, reason about clinical or disease biology, and generate publication-ready outputs (e.g., figures, tables, and presentations) with full transparency and citations. Users can interact with scientific papers via “chat with PDF,” highlight confusing text, math, or tables, and get clear explanations, ideal for understanding difficult methods or concepts. For literature review or exploratory research, its AI-driven semantic search accesses millions of papers and returns citation-backed summaries.
    Starting Price: $12 per month
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    QIAGEN CLC Genomics Workbench

    QIAGEN CLC Genomics Workbench

    QIAGEN Digital Insights

    QIAGEN CLC Genomics Workbench is a powerful solution that works for everyone, no matter the workflow. Cutting-edge technology and unique features and algorithms widely used by scientific leaders in industry and academia make it easy to overcome challenges associated with data analysis. User-friendly bioinformatics software solutions allow for comprehensive analysis of your NGS data, including de novo assembly of whole genomes and transcriptomes, resequencing analysis (WGS, WES and targeted panel support), variant calling, RNA-seq, ChIP-seq and DNA methylation (bisulfite sequencing analysis). Analyze your RNA-seq and small RNA (miRNA, lncRNA) data with easy-to-use transcriptomics workflows for differential expression analysis at gene and transcript levels. QIAGEN CLC Genomics Workbench is developed to support a wide range of NGS bioinformatics applications.
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    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.
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    Logilab ELN

    Logilab ELN

    Agaram Technologies

    Logilab® ELN is Agaram’s time-tested Electronic Lab Notebook (ELN) solution designed to make laboratories completely paperless by enabling them to record, execute & store their tests, experiments, and lab tasks in a secure secure central database. Logilab® ELN is used by laboratories conducting tests & experiments across various scientific fields, and by researchers/organizations involved in project & product development in regulated and non-regulated industries. It ensures that laboratory organizations can aim to achieve higher productivity, better quality and compliance to various statutory compliance standards as well as Good Lab Practices (GxP) principles of data integrity. It helps labs with the following: • Simple interface to design lab templates for tasks & experiments. • Dynamic Inventory Management • User-configured dynamic reports & document creation. • Automate instrument data capture
    Starting Price: $30 / Month / User
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    Majjanti

    Majjanti

    Dolcera

    Dolcera's Majjanti features cutting-edge AI technology, allowing us to provide you with the most accurate and insightful analysis. From scientific papers to product announcements, we curate the information that matters most and deliver it in one easy-to-access location and in a format that is easy to read and understand. Whether you're a startup founder, scientist, engineer, IP researcher, or any other professional in the science and technology industries, we provide you with the information you need, when you need it, so that you can stay ahead of the curve. R&D and innovation units may have technical documents, slide decks, lab notebooks, patents, product information, even contact info for suppliers, etc. All of this information can be OCRd, automatically organized into taxonomies, tagged, uploaded to the cloud, and made searchable securely (with appropriate access controls) without much effort from engineers and scientists.
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    Biohub

    Biohub

    Biohub

    Biohub is an open platform for building on the world model of protein biology. It provides access to the ESM family of models, including ESMC, ESMFold2, and ESM3, along with interactive tools and developer resources for protein science research. ESMC is a state-of-the-art protein language model trained on billions of evolutionary sequences, building representations that capture fundamental mechanisms of protein structure and function. It powers functional analysis, structure prediction, protein design, and the exploration of evolutionary relationships between proteins. ESMFold2 predicts high-resolution, all-atom 3D structures of biomolecular complexes directly from sequence, with optional multiple sequence alignment input for enhanced accuracy on challenging targets. ESM3 jointly models sequence, structure, and function, enabling controllable generation of novel proteins by conditioning on any combination of these modalities.
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    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