Alternatives to Nextnet
Compare Nextnet alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Nextnet in 2026. Compare features, ratings, user reviews, pricing, and more from Nextnet competitors and alternatives in order to make an informed decision for your business.
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1
Monocl Expert Suite
Definitive Healthcare
Monocl Expert Suite is a comprehensive platform designed to identify and engage with over 15 million global medical and scientific experts across various therapeutic areas. Using advanced machine learning and proprietary algorithms, it provides real-time insights, alerts, and updates, helping organizations strategically manage expert relationships. The suite includes Monocl ExpertInsight, which generates unique insights into expert profiles, Monocl Conferences for conference session tracking, Monocl ExpertGO for mobile access to expert data, Monocl ExpertData for seamless integration into internal systems, Monocl ExpertConnect for CRM-based insights, and Monocl ExpertClaims, which enhances engagement with medical claims data. Monocl Expert Suite supports medical affairs teams and organizations in driving strategic engagement and improving productivity. -
2
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. -
3
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. -
4
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. -
5
Claude Science
Anthropic
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. -
6
Edison Analysis
Edison Scientific
Edison Analysis is a next-generation scientific data-analysis agent built by Edison Scientific. It is the analytical engine underpinning their AI Scientist platform, Kosmos, and it’s available both on Edison’s platform and via API. Edison Analysis performs complex scientific data analysis by iteratively building and updating Jupyter notebooks in a dedicated environment; given a dataset plus a prompt, the agent explores, analyzes, and interprets the data to provide comprehensive insights, reports, and visualizations, very much like a human scientist. It supports execution of Python, R, and Bash code, and includes a full suite of common scientific-analysis packages in a Docker environment. Because all work is done within a notebook, the reasoning is fully transparent and auditable; users can inspect exactly how data was manipulated, which parameters were chosen, how conclusions were drawn, and can download the notebook and associated assets at any time.Starting Price: $50 per month -
7
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. -
8
SciSpace BioMed Agent
SciSpace
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 -
9
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. -
10
Galactica
Meta
Information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a large mass of information. Today scientific knowledge is accessed through search engines, but they are unable to organize scientific knowledge alone. Galactica is a large language model that can store, combine and reason about scientific knowledge. We train on a large scientific corpus of papers, reference material, knowledge bases and many other sources. We outperform existing models on a range of scientific tasks. On technical knowledge probes such as LaTeX equations, Galactica outperforms the latest GPT-3 by 68.2% versus 49.0%. Galactica also performs well on reasoning, outperforming Chinchilla on mathematical MMLU by 41.3% to 35.7%, and PaLM 540B on MATH with a score of 20.4% versus 8.8%. -
11
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. -
12
GPT-Rosalind
OpenAI
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. -
13
Verix
Verix
Verix’s decision engine empowers business professionals, combining human intelligence with AI to leverage a wide variety of customer data – historical, factual, and predictive, to devise winning strategies and scientifically execute them, enabling a personalized approach to customer engagements with exceptional accuracy and explainability at unprecedented time-to-value. Initial Tovana implementations show indications of 20% revenue uplift due to optimized customer engagements as well as stronger establishment of brand market position, measured through increased sales and reduced HCP churn. As Tovana was designed to boost self-reliance, teams enjoy greater productivity and decreased need for 3rd party resources. Empower your sales team with transparency and explainability. Equip sales with insights to engage every HCPs with personalized messaging that answers their exact needs, and delivered at the most opportune time. -
14
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. -
15
Chemaxon Design Hub
Chemaxon
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). -
16
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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Bibliovigilance
Bibliovigilance
Bibliovigilance is a search platform for pharmacovigilance literature that aims to streamline the process of monitoring scientific and medical publications for safety information. It offers a comprehensive database of significant national scientific publications across Europe and beyond, covering both human and veterinary products. The platform enables users to perform global searches by running queries in PubMed and accessing PRAC safety recommendations on signals, centralizing all literature searches in one location. Users can save their search queries, schedule automatic searches, and choose to search only for new articles since the last query, thereby saving time and reducing repetitive tasks. All searches are stored in a personal area, allowing users to see and document their search history at any time. The database is constantly updated, providing information on publications, the latest update dates, and the number of indexed articles, ensuring transparency in content. -
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Bluenote
Bluenote
Bluenote is an agentic AI software designed to help life sciences companies accelerate their regulatory submissions and documentation workflows, boosting productivity by automating critical tasks with enterprise-grade security and proven accuracy. It generates first drafts of scientific, clinical, and regulatory documents instantly, aligned with templates, standard operating procedures, and global guidelines, with built-in verification and traceability. It includes an AI assistant to refine data presentations, format datasets and tables, write figure captions, and run gap analyses. Bluenote’s workflow builder and specialized agents automate repetitive, multi-step processes so scientists and subject matter experts can focus on innovation, and its search tools let users explore internal datasets quickly to surface insights and reduce duplication. It also offers translation of technical and regulatory content while preserving formatting and glossary use. -
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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 -
20
Qstream
Qstream
A sales acceleration platform, Qstream is dedicated to helping salespeople increase performance by combining performance analytics, coaching optimization, and knowledge reinforcement. Qstream is the only scientifically proven solution for equipping salespeople with the right techniques that help impact the bottom line. -
21
TetraScience
TetraScience
Accelerate scientific discovery and empower your R&D team with harmonized data in the cloud. The Tetra R&D Data Cloud combines the industry’s only cloud-native data platform built for global pharmaceutical companies, with the power of the largest and fastest growing network of Life Sciences integrations, and deep domain knowledge, to deliver a future-proof solution for harnessing the power of your most valuable asset: R&D data. Covers the full life-cycle of your R&D data, from acquisition to harmonization, engineering, and downstream analysis with native support for state-of-the-art data science tools. Vendor-agnostic with pre-built integrations to easily connect to instruments, analytics and informatics applications, ELN/LIMS, CRO/CDMOs. Data acquisition, management, harmonization, integration/engineering and data science enablement in one single platform. -
22
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. -
23
Scitara DLX
Scitara
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. -
24
Gemini for Science
Google
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. -
25
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. -
26
Scopus
Elsevier
Scopus offers free features to non-subscribed users as Scopus Preview. Researchers use Scopus Preview to assist with research, such as searching for authors and learning more about Scopus content coverage and source metrics. Scopus is an abstract and citation database of peer-reviewed literature including scientific journals, books, and conference proceedings. Scopus provides a comprehensive overview of worldwide research output in the fields of science, technology, medicine, social sciences, and arts and humanities. Scopus is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference proceedings. Delivering a comprehensive overview of the world's research output in the fields of science, technology, medicine, social sciences, and arts and humanities, Scopus features smart tools to track, analyze and visualize research. You can make sure that critical research from around the world is not missed when you choose Scopus. -
27
Sci-Bot
Sci-Bot
Sci-Bot is an AI-powered research assistant built on top of Sci-Hub, designed to answer user questions by directly searching and analyzing scientific literature instead of generating responses from general training data. It works by scanning a vast database of full-text academic papers and extracting relevant findings to produce answers grounded in published research, often including references and links to the original studies. It presents itself as a simple interface where users can ask questions in multiple languages, and the system automatically searches for relevant keywords, retrieves academic articles, and synthesizes information into a structured response. It follows a step-by-step process similar to a human researcher, showing intermediate searches and sources before delivering a final answer. A key focus is on reducing hallucinations by relying on existing scientific papers rather than purely generative outputs, and it can provide direct access to full-text documents.Starting Price: Free -
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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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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 captureStarting Price: $30 / Month / User -
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ExtendMed
ExtendMed
Engage healthcare stakeholders to solicit insights, advance clinical research, and share online learning. Learn how partnering with ExtendMed will maximize the frequency and value of your interactions at a third of the cost of traditional approaches. Let us help you maximize your reach and impact. We have 20 years of experience working with pharmaceutical companies, agencies, and associations to provide scientific, marketing, education, and training solutions using our Health Expert Connect platform including: - Hosting virtual advisory boards - Speaker bureau management: contracting, training, logistics, closeout, Sunshine reporting - Smartphone event engagement: sign-in, slides, polling, surveys, assessments, follow-up - Online product theaters and satellite symposia -
31
JADBio AutoML
JADBio
JADBio is a state-of-the-art automated Machine Learning Platform without the need for coding. With its breakthrough algorithms it can solve open problems in machine learning. Anybody can use it and perform a sophisticated and correct machine learning analysis even if they do not know any math, statistics, or coding. It is purpose-built for life science data and particularly molecular data. This means that it can deal with the idiosyncrasies of molecular data such as very low sample size and very high number of measured quantities that could reach to millions. Life scientists need it to understand what are the features and biomarkers that are predictive and important, what is their role, and get intuition about the molecular mechanisms involved. Knowledge discovery is often more important than a predictive model. So, JADBio focuses on feature selection and its interpretation.Starting Price: Free -
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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 -
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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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PVSEARCH
PVSEARCH
PVSEARCH is a validated data management system developed by Owlpharma Consulting Lda. for pharmacovigilance professionals. As a software as a service (SaaS), it supports medical literature screening activities by functioning as a scientific literature repository connected to a robust, configurable search engine. Users can create queries using predefined inputs and Boolean operators, allowing for systematic and automated searches within the database. The platform accommodates various written variants of substances, including non-standard ones, by enabling clients to include custom-created terms alongside common terms available in the system database. PVSEARCH's database encompasses a comprehensive collection of relevant local publications, such as journals, websites, newsletters, and congress publications covering human and veterinary health in Portugal. Clients can select specific publications for inclusion in their periodic searches. -
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BIOVIA ONE Lab
Dassault Systèmes
BIOVIA ONE Lab is a comprehensive laboratory informatics solution designed to streamline workflows, enhance collaboration, and accelerate research across various scientific domains. It provides a unified environment for managing all laboratory data and processes, enabling scientists to make better decisions faster. ONE Lab is leveraged by companies across multiple industries, including Life Sciences, Consumer Packaged Goods, Energy & Materials, and more. It can be deployed across Research, Development, and QA/QC, with the flexibility to meet the specific needs of scientists in each domain. It manages samples, experiments, data, inventory, equipment, and workflows, integrating with a wide range of laboratory instruments and software to connect existing systems and data seamlessly. ONE Lab removes artificial barriers between ELN, LIMS, LES, equipment integration, and inventory management by employing a single data model across all functional areas. -
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Symmetryk
Symmetryk
Symmetryk is an engagement software platform built from the ground up for the life-sciences industry, simplifying the way field teams connect and engage with the healthcare community. It enables easy access to scientific content, ensuring field teams have the right resources at their fingertips during interactions. By streamlining content discovery, customization, and compliance, Symmetryk equips customer-facing teams with the tools to deliver impactful presentations, engage in meaningful discussions, and build strong relationships with healthcare professionals. The platform allows access to content anywhere, whether in a physician's office, a hospital basement, or on a flight, ensuring content is always up-to-date. Symmetryk is built with a highly streamlined content database, enabling access to any piece of content in just three clicks. It provides granular analytics on content utilization and insights into which content is appreciated by medical science liaisons. -
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Scilligence RegMol
Scilligence
Scilligence’s RegMol is an entity registration and bioassay database which supports all entities. Our comprehensive and easy-to-deploy platform enables centralized management of protocols and assay data to support all research and development collaborations. RegMol empowers data driven decisions through our powerful data mining analytics including query by chemical structure, HELM and biosequences. Our innovation is driven by the idea that the best solutions come from shared experiences. We’ve built a tool that makes it easy to share knowledge and resources with colleagues globally. We understand that it can be difficult to wrangle all of the data you need to make industry-changing discoveries. Our ELN is a flexible web platform that allows you to easily find and organize unstructured data. Our advanced search and indexing capabilities allow researchers to quickly search and filter through unstructured data. -
38
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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Nowigence Pluaris
Nowigence
Pluaris is a cloud-based knowledge management (KM) tool created for those who want to advance their competence and competitiveness with the power of intelligent reading while searching for information. Pluaris works 24/7 reading and analyzing relevant content as it is being created in various public and private data sources on topics that one reads either because one enjoys them or because one needs to know the information to fulfill job tasks or other responsibilities. Pluaris generates a trove of critical conclusions to assist individuals, teams, and organizations to quickly build expertise. We serve knowledge workers in sectors like mining, manufacturing, service, technology, non-profit, scientific, and educational institutions. We work with service providers who make Pluaris a part of the IT Ecosystem of an organization, replacing keyword search boxes with an intelligent search that synthesizes intelligence from various data sources during the search. -
40
Dr.Evidence
Dr.Evidence
Dr.Evidence is an AI-enabled landscape intelligence platform designed to drive dramatic efficiencies across clinical, regulatory, labeling, safety, market access, and medical affairs teams, enabling life sciences companies to bring their products to market swiftly and maintain their presence. By connecting teams across geographies, therapeutic areas, and departments to a centralized source of scientific truth, the platform breaks down silos, encourages collaboration, and advances decision-making. Built on augmented intelligence, a combination of human expertise and fit-for-purpose AI, Dr.Evidence accelerates insights through quick content summarization and Q&A via generative AI interfaces. It offers powerful scientific search capabilities across diverse content sets, utilizing over 25 robust large language, machine learning, and natural language processing models. Users can rapidly analyze different content sets to obtain a 360-degree view of the landscape. -
41
MolView
MolView
MolView is an intuitive, Open-Source web application to make science and education more awesome! MolView is mainly intended as a web-based data visualization platform. You can use MolView to search through different scientific databases including compound databases, protein databases and spectral databases, and view records from these databases as interactive visualizations using WebGL and HTML5 technologies. This web application is built on top of the JavaScript libraries and online services listed below. The Virtual Model Kit has been a source of inspiration for the birth of this project.Starting Price: Free -
42
Within3
Within3
As the leader in insights management for life science teams, Within3’s insights management platform identifies the right people, actively engages them, and delivers answers that drive informed agile decision-making. We built our platform to close the life science insight gap—a problem that leads companies to base decisions on old or incomplete data, wasting billions of dollars and years of work. The Within3 insight management platform solves the insight gap at every stage of the product development lifecycle, from planning and recruiting, to engaging, understanding, and analyzing. The world’s top pharmaceutical companies and leading medical device organizations trust Within3 to identify key experts, engage audiences in focused discussions, and obtain a 360-degree view of scientific and market signals. -
43
ConcertAI
ConcertAI
ConcertAI is a leading provider of AI-powered solutions in the healthcare industry, specializing in oncology. Their mission is to accelerate insights and improve outcomes for patients through leading real-world data, AI technologies, and scientific expertise. ConcertAI offers a suite of products and services designed to enhance clinical research and patient care. Their Real-World Data Products provide comprehensive, fit-for-purpose datasets that support a variety of research needs across the enterprise. The digital trial solution streamlines clinical trial processes, while the Clinical Trial Optimization (CTO) platform utilizes large-scale AI to refine trial design and execution in oncology and hematology. In collaboration with NeoGenomics, ConcertAI has developed CTO-H, a SaaS solution focused on hematological malignancies, offering advanced research analytics and operational optimization. -
44
AWS HealthOmics
Amazon
Securely combine the multiomic data of individuals with their medical history to deliver more personalized care. Use purpose-built data stores to support large-scale analysis and collaborative research across entire populations. Accelerate research by using scalable workflows and integrated computation tools. Protect patient privacy with HIPAA eligibility and built-in data access and logging. AWS HealthOmics helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Store and analyze omics data for hundreds of thousands of patients to understand how omics variation maps to phenotypes across a population. Build reproducible and traceable clinical multiomics workflows to reduce turnaround times and increase productivity. Integrate multiomic analysis into clinical trials to test new drug candidates. -
45
AHED (Advanced Heat Exchanger Design)
HRS Heat Exchangers
HRS-AHED is a new software solution for the calculation of shell and tube heat exchangers featuring fluids and mixing assistant, sensible heat / condensation calculations, single pass and multi pass units, with or w/o baffles and many more features: fluid database, customizable geometries, project sharing, batch calculation, vibration analysis, reporting, and much more. To ensure the best calculation results, the we have conducted a thorough search through scientific literature to make sure the best and most recent methods for calculation in heat transfer engineering are used in our software. Many heat exchanger projects have been designed successfully with AHED, making it an industrially proven software solution.Starting Price: €50/3months/user -
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Learnable.ai
Learnable.ai
Deep reinforcement learning (DRL) combines the advantages of perception associated with deep learning and the power of sequential decision-making associated with reinforcement learning. Learnable’s DRL AI is able to self-produce extensive simulation data that enables continuous self-upgrade and optimal predictive output. Powered by DRL technologies, Learnable has developed three types of AI models with distinct capabilities. Interactive AI learns through interacting with human users. Based on its sophisticated capability to understand various types of human feedback, Interactive AI effectively builds a cognitive system that can comprehend human intention through interactions, even when such interactions are limited. Like the human brain, eXplainable AI (XAI) is able to comprehend the deep logic of events, actions and rewards. Different from other forms of AI, XAI can explain the reasons behind its decisions. -
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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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Xari
Xari AI
Xari helps fast-growing companies accelerate organic traffic via AI-powered products and solutions. Our flagship AI-powered SEO solution has already helped businesses 5X their Organic Traffic within 6 months. Xari is a more meticulous scientific approach to Organic Marketing and SEO, with AI coupled with human-in-the-loop workflow. -
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Acade
Acade
Acade is an AI research co-scientist who starts with a research question and turns it into a structured, verifiable research loop. It helps researchers map literature, propose traceable hypotheses, plan experiments, interpret results, and turn the full path into an evidence-backed report while keeping the scientist in control. It is built for human-in-the-loop research, supporting users as they search, compare, critique, and document evidence without replacing scientific judgment. Acade begins with research question intake, capturing the domain, goal, constraints, files, assumptions, and expected decision before the agent starts. It can organize relevant papers, claims, methods, debates, and research gaps into a literature-grounded map while preserving source provenance. It also generates hypothesis cards that compare evidence, counter-evidence, novelty, feasibility, and risk, helping researchers review candidate ideas before execution. -
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Hyta
Hyta
Hyta is a platform designed to scale and operationalize AI post-training workflows by creating always-on pipelines of specialized human intelligence and tracking trusted contributions so model improvement is continuous rather than a one-off project. It unifies a community of domain specialists and machine-learning contributors to supply high-quality human signals that support long-horizon, domain-specific model training and reinforcement learning pipelines, with mechanisms to retain contributor trust and context across projects and models. It emphasizes reliable trajectories by tailoring pipelines to organizational and project demands, preserving verified contributions, and enabling persistent feedback that compounds capabilities across industries. Hyta connects contributors, labs, enterprises, and post-training teams in a broader ecosystem, allowing organizations to orchestrate human-in-the-loop workflows at scale and integrate human feedback into model development processes.
