Alternatives to Conspecta

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

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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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    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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    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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    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
  • 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.
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    CryoTrack

    CryoTrack

    CryoTrack

    CryoTrackIMS is a complete software package - ideal for molecular biology, cell banks, cellular biology, clinical samples, biorepository, biobanking, biochemistry, immunology and protein labs, high-throughput screening, QA, IVF labs and core labs and facilities. Create any box, plate or pie configuration - select rows and columns or select a Pie configuration - your box is created in seconds ready to input data. Inventory of valuable biological samples and specimen is critical for basic research and biotech business. Keeping track of large numbers and types of samples (DNA, RNA, plasmids, clones, proteins, peptides, probes, antibodies, enzymes, specimen, tissues, cell lines and more) and where they are and their precise location is a nightmare and daunting task for many that cost a great deal not only in monetary terms but also leads to frustrations and time loss. CryoTrack offers a complete solution for individual labs in universities, clinics, biotech and pharmaceutical companies.
  • 7
    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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    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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    Scispot

    Scispot

    Scispot

    Scispot powers life science labs with a unified LabOS™ platform, combining ELN, LIMS, SDMS, QMS, and AI in one configurable, no-code system. Built for CROs, Molecular Diagnostics, Pathology, Pharma QC, and Drug Discovery, Scispot streamlines sample management, inventory automation, and regulatory compliance. Connect with 200+ lab instruments and thousands of apps to eliminate data silos while maintaining FDA 21 CFR Part 11, GxP, GDPR, and HIPAA compliance. Scispot's AI tools transform experimental data into actionable insights, with flexible workflows that adapt as research evolves—without IT support. Trusted by 1000+ scientists globally, Scispot enables rapid deployment so teams focus on science, not administration. Accelerate discoveries, ensure compliance, and scale operations with a platform purpose-built for modern biotech innovation.
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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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    Amira Software

    Amira Software

    Thermo Fisher Scientific

    Thermo Scientific Amira Software is a powerful, universal 2D–5D solution for visualizing, analyzing, and understanding life science and biomedical research data from various imaging modalities, including optical and electron microscopy, CT, MRI, and other techniques. With incredible speed and flexibility, Amira Software supports advanced 2D–5D bioimaging workflows in research areas ranging from structural and cellular biology to tissue imaging, neuroscience, preclinical imaging, and bioengineering. Key features include import and image data processing, visualization and exploration, advanced segmentation, measurement, quantification, and analysis, as well as specialized tools for molecular visualization, object tracking, filament tracing, meshing for finite element analysis, diffusion tensor imaging, 3D registration, and biomaterial deformation analysis. Amira Software also offers customization options and access to ecosystems such as MATLAB, Python, and custom C++.
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    ESMC

    ESMC

    Biohub

    ESMC is the latest in the ESM family of protein language models, establishing a new frontier in representation learning for protein biology. Trained on billions of evolutionary sequences, it learns representations that reflect a mechanistic reduction of protein structure and function. The model is built on a transformer architecture, supports sequences as its core modality, and is trained on up to 6 billion proteins. ESMC is designed for protein science research, including structure prediction, function annotation, protein design, and understanding evolutionary relationships between proteins. It can generate novel proteins from partial sequence, structure, or functional constraints, helping researchers explore new possibilities in protein design and biological discovery. The Biohub Platform provides access to ESMC through the API and the ESM Python package, with quickstart resources for installing the package, creating an API key, connecting to the platform.
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    Recursion

    Recursion

    Recursion

    Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models.
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    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.
  • 15
    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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    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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    Cellenics

    Cellenics

    Biomage

    Turn your single-cell RNA sequencing data into meaningful insight with Cellenics software. Biomage hosts a community instance of Cellenics, an open source analytics tool for single-cell RNA sequencing data that has been developed at Harvard Medical School. It enables biologists to explore single-cell datasets without writing code and helps scientists and bioinformaticians to work together more effectively. It takes you from count matrices to publication-ready figures in just a few hours and can be integrated seamlessly with your workflow. It’s fast, interactive, and user-friendly. And it’s cloud-based, secure, and scaleable. The Biomage-hosted community instance of Cellenics is free for academic researchers with small/medium-sized datasets (up to 500,000 cells). It’s used by 3000+ academic researchers studying cancer, cardiovascular health, and developmental biology.
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    BioSketch

    BioSketch

    BioSketch.Art

    BioSketch.art is a browser-based figure builder for creating publication-ready scientific and medical illustrations. Users can assemble figures with editable vector icons, arrows, connectors, labels, and shapes on a fast canvas workspace, then export high-resolution graphics for papers, slides, posters, and patient education. The platform supports icon search and organized libraries (including personal uploads), grouping and alignment tools, annotation features, Bezier/freehand drawing, and project-based saving. BioSketch.art is built for open science: core tools and a large icon library are free to use, with optional Pro features for AI-assisted generation (e.g., icon/figure generation) and higher-usage workflows.
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    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
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    Dotmatics

    Dotmatics

    Dotmatics

    Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. Combining a workflow and data platform with best-of-breed applications, we offer the first true end-to-end solutions for biology, chemistry, formulations, data management, flow cytometry, and more. Trusted by more than 2 million researchers from the world’s leading biopharma, chemicals and materials enterprises, and academic institutions, we are dedicated to working with the scientific community to help make the world a healthier, cleaner and safer place to live. Learn more about our platform and products, including GraphPad Prism, Geneious, SnapGene, Protein Metrics, LabArchives, and more.
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    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
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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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    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
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    LabData LIMS

    LabData LIMS

    Solutions Orange Data

    Our LIMS adapt to your technical, quality and administrative requirements. Through our services we can complement any need. Get great added value at no cost. LIMS specific for physical, chemical, microbiological, environmental, agronomic testing laboratories . LIMS specific for integrated laboratories in industries. LIMS specific for genetics and / or molecular biology laboratories. LIMS specific for clinical analysis laboratories. LIMS specific for research laboratories. Specific software for pathological anatomy laboratories. Beyond analytical management and production, with our tools you can cover a specific part of your procedures in your laboratory. Get higher quality and speed of work in other areas. Web platform for consulting analytics, results and reports. Platform for tablets and mobiles for the management of analytics, introduction of results, collection of samples. Software for quality management in laboratories, complying with ISO 17.025 and 9001 procedures.
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    Cytobank

    Cytobank

    Beckman Coulter Life Sciences

    Cytobank is a cloud-based platform for the analysis, storage, and sharing of flow and mass cytometry data. Cytobank is completely on the Internet and requires only a web browser and an account for access. There is otherwise no installation, updating, or maintenance of any other software or hardware necessary in order to use Cytobank. Ideal for single researchers or small groups. Shared Cloud. Ideal for large research groups, pharma and biotech R&D teams, and clinical research organizations. Private cloud, access controlled by an administrator role of your choosing. Larger compute caps around functionality such as viSNE.
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    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.
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    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
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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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    ChemCopilot

    ChemCopilot

    ChemCopilot

    ChemCopilot is an AI-native chemical formulation and product lifecycle management platform designed to transform how scientists, engineers, and R&D teams design, test, optimize, and manage chemical products and processes by combining advanced artificial intelligence with domain-specific chemistry knowledge, regulatory data, simulation capabilities, and real-time insights. It automates validation of product labels, ingredient restrictions, and safety data sheets against global compliance frameworks, eliminating disconnected spreadsheets and manual review while providing audit trails and real-time alerts to support regulatory adherence. ChemCopilot accelerates innovation by simulating chemical reactions, molecular interactions, and process workflows to predict formulation performance and outcomes that traditional general-purpose tools cannot provide, and it integrates real-time data from laboratory and industrial systems to drive data-driven decisions.
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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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    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.
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    Amazon Bio Discovery
    Amazon Bio Discovery is an AI-powered application designed to accelerate early-stage drug discovery by combining computational biology models with real-world laboratory testing in a unified, “lab-in-the-loop” workflow. It provides scientists with direct access to a broad catalog of biological foundation models trained on large-scale biological datasets, enabling them to generate and evaluate potential drug candidates such as antibodies with greater speed and precision. Through an integrated AI agent, users can interact in natural language to select appropriate models, configure experiments, and optimize inputs without requiring advanced coding or infrastructure expertise. It allows researchers to build multi-step pipelines that combine different models, benchmark their performance, and reuse workflows across teams, improving collaboration between computational biologists and lab scientists.
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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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    NovoExpress

    NovoExpress

    Agilent Technologies

    The NovoExpress software enables researchers of all levels of flow cytometry experience to perform efficient sample acquisition and analysis. The software automates multiple fluidic functions, eliminating cumbersome and time consuming procedures. User hands-on time is minimized with the walk-away autosampler functionality as well as batch analysis, statistics, and reporting. With NovoExpress software, one interface is used for sample acquisition and data analysis. To maximize productivity and efficiency, you can analyze newly acquired data in real time while your samples are still aquiring in the background. Powerful compensation tools and convenient adjustments allow for accurate pre and post acquisition compensation. Batch analysis and reporting are available with customizable statistical parameters and live updates when running samples.
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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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    ESPResSo

    ESPResSo

    ESPResSo

    ESPResSo, the Extensible Simulation Package for Research on Soft Matter, is a highly versatile open source simulation package for performing and analyzing scientific molecular dynamics and Monte Carlo many-particle simulations. It is designed as a universal tool for simulating a variety of soft matter systems, especially coarse-grained atomistic or bead-spring models used in physics, chemistry, molecular biology, and process engineering. ESPResSo can be used to simulate polymers, liquid crystals, colloids, polyelectrolytes, ferrofluids, gels, biological systems, DNA, lipid membranes, bacterial motion, and super-capacitors. In coarse-grained models, a group of atoms or molecules is treated as a single bead, allowing researchers to investigate larger time and length scales than would be practical with fully atomistic simulations. ESPResSo supports classical molecular dynamics simulations in different statistical ensembles.
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    Cufflinks

    Cufflinks

    Cole Trapnell

    Cufflinks assemble transcripts, estimate their abundances and test for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one, taking into account biases in library preparation protocols. Cufflinks was originally developed as part of a collaborative effort between the Laboratory for Mathematical and Computational Biology. In order to make it easy to install Cufflinks, we provide a few binary packages to save users from the occasionally frustrating process of building Cufflinks, which requires that you install the libraries. Cufflinks includes a number of tools for analyzing RNA-Seq experiments. Some of these tools can be run on their own, while others are pieces of a larger workflow.
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    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.
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    GeoMx Digital Spatial Profiler (DSP)
    Quickly resolve tissue heterogeneity and the complexity of microenvironments with the GeoMx Digital Spatial Profiler (DSP), the most flexible and robust spatial multi-omic platform for analysis of FFPE and fresh frozen tissue sections. GeoMx is the only spatial biology platform that non-destructively profiles the expression of RNA and protein from distinct tissue compartments and cell populations with an automated and scalable workflow that integrates with standard histology staining. Spatially profile the whole transcriptome and 570+ protein targets separately or simultaneously from your choice of sample inputs: whole tissue sections, tissue microarrays (TMAs), or organoids. Make GeoMx DSP your spatial biology platform of choice for biomarker discovery and hypothesis testing. Decide where to draw the line and let the tissue be your guide with biology-driven profiling that empowers you to choose the tissue microenvironments and cell types that matter most to you.
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    AlphaFold

    AlphaFold

    DeepMind

    These exquisite, intricate machines are proteins. They underpin not just the biological processes in your body but every biological process in every living thing. They’re the building blocks of life. Currently, there are around 100 million known distinct proteins, with many more found every year. Each one has a unique 3D shape that determines how it works and what it does. But figuring out the exact structure of a protein remains an expensive and often time-consuming process, meaning we only know the exact 3D structure of a tiny fraction of the proteins known to science. Finding a way to close this rapidly expanding gap and predict the structure of millions of unknown proteins could not only help us tackle disease and more quickly find new medicines but perhaps also unlock the mysteries of how life itself works.
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    sLis Enterprise
    sLis Enterprise® Suite for Clinical & Radiology Laboratories is the result of systematic research, design and development, based on the long experience and know-how of INFOMED’s IT people in the diagnostic and radiology field. sLis Enterprise® is a state-of-the-art Information System with the necessary flexibility to support any Laboratory Department through a user-friendly environment. A highly customizable solution, adaptive to the particular requirements and complexity of any laboratory. Operating as an advanced, fast, powerful, easy-to-use LIS, sLis Enterprise® provides a unique working environment to all diagnostic departments, from Clinical Chemistry to Hematology, Coagulation, Immunology, Serology, Microbiology, Pathology, Cytology or Molecular Biology, using just one database and ensuring the sharing of information among all laboratory users. At the same time, it is an innovative tool for Quality Control Management across all laboratory sections.
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    SnapGene

    SnapGene

    SnapGene

    Accurately design and simulate cloning procedures. Test complicated projects, catch errors before they happen, and obtain the right constructs the first time. Cloning is easier when you can see what you are doing. The intuitive interface offers you unparalleled visibility into your work, simplifying often complex tasks. SnapGene automates documentation, so you don’t have to. See and share every sequence edit and cloning procedure that led to your final plasmid. Improve your core molecular biology procedures, and improve your results. Master SnapGene and key concepts in cloning with our new online learning center, SnapGene Academy. Containing over 50 video tutorials taught by scientific experts, SnapGene Academy helps you advance your skills across multiple molecular biology courses. SnapGene 7.2 provides a new visualization of primer homodimer structures and enhancements to file management, allowing tabs to be organized in multiple windows using drag and drop.
    Starting Price: $295 per year
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    NVIDIA Parabricks
    NVIDIA® Parabricks® is the only GPU-accelerated suite of genomic analysis applications that delivers fast and accurate analysis of genomes and exomes for sequencing centers, clinical teams, genomics researchers, and high-throughput sequencing instrument developers. NVIDIA Parabricks provides GPU-accelerated versions of tools used every day by computational biologists and bioinformaticians—enabling significantly faster runtimes, workflow scalability, and lower compute costs. From FastQ to Variant Call Format (VCF), NVIDIA Parabricks accelerates runtimes across a series of hardware configurations with NVIDIA A100 Tensor Core GPUs. Genomic researchers can experience acceleration across every step of their analysis workflows, from alignment to sorting to variant calling. When more GPUs are used, a near-linear scaling in compute time is observed compared to CPU-only systems, allowing up to 107X acceleration.
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    Everstar

    Everstar

    Everstar

    Everstar is an AI-native platform for accelerating nuclear power deployment through document intelligence, licensing support, regulatory workflows, engineering analysis, and nuclear compliance automation. Built for nuclear professionals, Everstar helps teams turn complex documentation into active intelligence so they can draft regulator-ready filings, surface precedents in minutes, compress siting timelines, and streamline work across the nuclear value chain without compromising safety. Its AI-powered nuclear intelligence is designed to solve the industry’s hardest administrative, regulatory, and engineering challenges with accuracy, traceability, and secure workflows. Everstar’s platform supports operating reactor licensing, reactor operations and engineering, new reactor licensing, radioactive materials users, manufacturing and supply chain teams, and regulators.
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    ESMFold
    ESMFold shows how AI can give us new tools to understand the natural world, much like the microscope, which enabled us to see into the world at an infinitesimal scale and opened up a whole new understanding of life. AI can help us understand the immense scope of natural diversity, and see biology in a new way. Much of AI research has focused on helping computers understand the world in a way similar to how humans do. The language of proteins is one that is beyond human comprehension and has eluded even the most powerful computational tools. AI has the potential to open up this language to our understanding. Studying AI in new domains such as biology can also give insight into artificial intelligence more broadly. Our work reveals connections across domains: large language models that are behind advances in machine translation, natural language understanding, speech recognition, and image generation are also able to learn deep information about biology.
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    NVIDIA BioNeMo
    BioNeMo is an AI-powered drug discovery cloud service and framework built on NVIDIA NeMo Megatron for training and deploying large biomolecular transformer AI models at a supercomputing scale. The service includes pre-trained large language models (LLMs) and native support for common file formats for proteins, DNA, RNA, and chemistry, providing data loaders for SMILES for molecular structures and FASTA for amino acid and nucleotide sequences. The BioNeMo framework will also be available for download for running on your own infrastructure. ESM-1, based on Meta AI’s state-of-the-art ESM-1b, and ProtT5 are transformer-based protein language models that can be used to generate learned embeddings for tasks like protein structure and property prediction. OpenFold, a deep learning model for 3D structure prediction of novel protein sequences, will be available in BioNeMo service.
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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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    Illustrae

    Illustrae

    Illustrae

    Illustrae is an AI-powered scientific illustration platform designed to help researchers, educators, and professionals create accurate, publication-ready visuals quickly and easily. Its core feature is the intelligent canvas, an infinite, intuitive workspace equipped with tools like frames, arrows, textboxes, and live embed links. This environment allows users to build complex, multi-panel figures or diagrams without the steep learning curve of traditional design software. Illustrae's standout capability is its custom element generation: users can describe a scientific concept, such as "a neuron firing" or "the cell cycle", and Illustrae's AI will produce a tailored illustration in about a minute. Users can also start from sketches or photos. Editing is streamlined through a prompt bar, enabling modifications via plain language commands.
    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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    ResoluteAI

    ResoluteAI

    ResoluteAI

    ResoluteAI's secure platform lets you search aggregated scientific, regulatory, and business databases simultaneously. Combined with our interactive analytics and downloadable visualizations, you can make connections that lead to breakthrough discoveries. Nebula is ResoluteAI's enterprise search product for science. We apply structured metadata and a range of AI capabilities to your institutional knowledge. This includes NLP, OCR, image recognition, and transcription, making your proprietary information easily findable and accessible. With Nebula, you have the power to unlock the hidden value in your research, experiments, market intelligence, and acquired assets. Structured metadata created from unstructured text, semantic expansion, conceptual search, and document similarity search.